CN105122169A - Electric power system control with planning of energy demand and energy efficiency using ami-based data analysis - Google Patents

Electric power system control with planning of energy demand and energy efficiency using ami-based data analysis Download PDF

Info

Publication number
CN105122169A
CN105122169A CN201480015451.0A CN201480015451A CN105122169A CN 105122169 A CN105122169 A CN 105122169A CN 201480015451 A CN201480015451 A CN 201480015451A CN 105122169 A CN105122169 A CN 105122169A
Authority
CN
China
Prior art keywords
voltage
energy
electric power
supply
saving
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201480015451.0A
Other languages
Chinese (zh)
Inventor
梅丽莎·A·佩斯金
飞利浦·W·鲍威尔
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dominion Energy Inc
Original Assignee
Dominion Resources Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dominion Resources Inc filed Critical Dominion Resources Inc
Publication of CN105122169A publication Critical patent/CN105122169A/en
Pending legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00016—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus
    • H02J13/00017—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus using optical fiber
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00028—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/124—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wired telecommunication networks or data transmission busses
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A method, apparatus, system and computer program is provided for controlling an electric power system, including implementation of an energy planning process (EPP) system which can be used to plan a voltage control and conservation (VCC) system applied to an electrical distribution connection system (EEDCS). The EPP system plans modifications to the EEDCS as a result of operating the VCC system in the ''ON'' state, in order to maximize the level of energy conservation achieved by the VCC system control of the EEDCS. The EPP system may also identify potential problems in the EEDCS for correction.

Description

The data analysis based on AMI is utilized to carry out the electric power system control of planned energy demand and energy efficiency
Technical field
The present invention relates to a kind of for controlling method, equipment, system and the computer program of electric system (comprising for optimization voltage, economize energy and planned assignment circuit of demaning reduction).Specifically, the present invention relates to a kind of embodiment utilizing the data analysis based on senior meter contact facility (" AMI ") to plan electricity needs and efficiency.The method makes the performance directly measuring circuit use and electricity needs to reduce energy based on the embodiment of the configuration of electric system being carried out to suggestion correction.The method is used in electric system the design of value and the cost/benefit of more each advised correction that the efficiency that accurately quantizes to be caused by the embodiment of proposed correction and electricity needs reduce to save.In addition, the method can utilize based on the particular problem existing for the measurement identification electric system of AMI, to allow the operation according to suitably changing electric system to the identification of these problems.
Background technology
Usually, produce electric power by electromechanical generator in power house, typically, by being supplied the Thermal Motor of fuel by chemical combustion or nuclear fission or carried out drive motor tool generator by the kinetic energy flowed in water or wind.Generally speaking, by power transmission network, electric power is supplied to terminal user as ac signal.Power transmission network can comprise power house network, power delivery circuit, transformer station etc.
Before electric power is supplied to transmission system, typically, the electric power boosted voltage that step-up transformer will produce such as is utilized.By reducing the electric current flowed in transmission system conductor, boosted voltage improves transfer efficiency, keeps the power transmitted no better than power input simultaneously.Then, by transmission system by boosting electric power transfer to distribution system, distribution system by distributing electric power to terminal user.Distribution system can comprise from transmission system transmission electric power and be passed to the network of terminal user.Typically, this network can comprise middle pressure (such as, being less than 69kV) line of electric force, transformer station, transformer, low pressure (such as, being less than 1kV) distribution line, ammeter etc.
Following theme relates to generating or distribution: EngineeringOptimizationMethodsandApplications, FirstEdition, G.V.Reklaitis, A.Ravindran, K.M.Ragsdell, JohnWileyandSons, 1983; EstimatingMethodologyforaLargeRegionalApplicationofConse rvationVoltageReduction, J.G.DeSteese, S.B.Merrick, B.W.Kennedy, IEEETransactionsonPowerSystems, 1990; PowerDistributionPlanningReferenceBook, SecondEdition, H.LeeWillis, 2004; ImplementationofConservationVoltageReductionatCommonweal thEdison, IEEETransactionsonPowerSystems, D.Kirshner, 1990; ConservationVoltageReductionatNortheastUtilities, D.M.Lauria, IEEE, 1987; GreenCircuitFieldDemonstrations, EPRI, PaloAlto, CA, 2009, Report1016520; EvaluationofConservationVoltageReduction (CVR) onaNationalLevel, PNNL-19596, PreparedfortheU.S.DepartmentofEnergyunderContractDE-AC05-76RL01830, PacificNorthwestNationalLab, July2010; UtilityDistributionSystemEfficiencyInitiatiVe (DEI) Phase1, FinalMarketProgressEValuationReport, No3, E08-192 (7/2008) E08-192; SimplifiedVoltageOptimization (VO) MeasurementandVerificationProtocol, SimplifiedVOM & VProtocolVersion1.0, May4,2010; MINITABHandbook, UpdatedforRelease14, fifthedition, BarbaraRyan, BrianJoiner, JonathanCryer, Brooks/Cole-Thomson, 2005; The data software provided by Minitab company, MinitabSoftware, http://www.minitab.com/en-US/products/minitab/, its full content is incorporated herein by reference.
In addition, on May 7th, 2009 submits to, US publication 2013/0030591, be entitled as the U.S. Patent application 61/176 of " VOLTAGECONSERVATIONUSINGADVANCEDMETERINGINFRASTRUCTUREAN DSUBSTATIONCENTRALIZEDVOLTAGECONTROL (using the voltage protection of senior meter contact facility and transformer station's lumped voltage to control) ", 398 describe Control of Voltage for transmission and disttrbution net and energy saving system, described transmission and disttrbution net is configured to supply power to multiple customer location, its full content is incorporated herein by reference.
Summary of the invention
Various embodiment as herein described relates to new method, device, system and computer program for controlling electric system (it comprises the embodiment utilizing the boosting voltage measured by senior meter contact facility (AMI) (" measurement based on AMI ") electrical energy transfer system (EEDS) to be carried out to voltage plan).May be used for the efficiency of optimization EEDS based on the measurement of AMI and voltage plan and demand reduces ability, it comprises the ability specifically obtained by implementing energy-conservation step-down (CVR) in EEDS.The reliability that energy that raising is attached to power distribution connected system (EEDCS) uses the voltage characteristic of system (EUS) and energy operative installations (EUD) is also can be used for based on the measurement of AMI and voltage plan.
According to an aspect of the present invention, energy scheduling process (EPP) uses change level by measuring the energy produced owing to carrying out voltage management to EEDS, designs the voltage range ability of given electrical energy transfer system (EEDS) (it uses the energy supplying system (ESS) of system (EUS) to form by being electrically connected to one or more energy via power distribution connected system (EEDCS)) at client's subsidiary level (EUS).EPP can also determine the potential impact of advised correction to the equipment of EEDS and/or equipment configurations or the energy operative installations (EUD) to some electric power point places of electrical energy transfer system (EEDS), and electrical energy transfer system uses many energy operative installationss of energy to form by any given time point during measuring at random.The change level that the electricity that the object of energy verification process (EVP) is to measure EEDS uses, to draw the change of voltage levvl.The details of exemplary EVP covered in the unsettled US patented claim 61/789085 and 14/193 being entitled as " ELECTRICPOWERSYSTEMCONTROLWITHMEASUREMENTOFENERGYDEMANDA NDENERGYEFFICIENCYUSINGT-DISTRIBUTIONS (using t-to distribute the electric power system control measuring energy requirement and energy efficiency) ", in 980 (" unsettled/P006 applications "), the full content of this application is incorporated into this, although also can use other EVP.An object of the EPP system of the disclosed embodiments estimates that the ability of EEDS is to adapt to change in voltage, and predict available change level.The energy potential saving that theres is provided of improvement proposed system is by (being calculated the CVR factor (energy variation %/change in voltage %) by EVP, example is described in common pending trial/P006 application, but other also can be used to calculate the method for the CVR factor) be multiplied by available change in voltage (being determined by EPP) and calculate to determine in studied time interval utilisable energy and demand saving.The electrical energy being fed to electrical energy transmission system (EEDS) is measured at energy client (EUS) place or instrument point place at the supply centre place of ESS and (b) with watt, kilowatt (kw) or megawatt (Mw) (a).This measures the average use (AUE) that the time period (such as one hour) being in setting in supply and each of instrument point records energy.
To energy use improve level change test be divided into two basic time section: first is the time period not comprising this raising, that is, in OFF state.Second time period was when comprising this raising, that is, in ON state.Must determine that Two Variables is to estimate the saving ability that improvement in EEDS is used: the voltage formed by improvement and the EEDS ability for energy variation changes (the CVR factor relative to the average voltage of change in voltage, its example calculated describes in common pending trial/P006 application, but may also be the additive method using and calculate the CVR factor.
Be the new means of the saving voltage reduction plan to the novel feature using EEDS voltage relationship to the calculating of the change of voltage capability, this novel featureization is not realistic executes detailed current-carrying model.Input level from ESS to EEDCS is recorded for the setting interval (such as, hour) of the time studied.The level of the input from EEDCS to EUS uses AMI systematic survey for the same intervals of the time studied, and record.Linear regression technique is used to use the specific relation of EEDS between measuring to carry out characterization in the time period of research to ESS measurement and EUS.This calculating uses common method to be associated with the distinctive change in voltage of each client EUS by the variation effect of the load at ESS place particularly.
Once these linear relationships as calculated, set up simple linear model to represent the complex behavior being in various loading levels, various loading level comprises switching and is embedded in the effect that AMI collects the EUS certain loads of the uniqueness in data (that is, these data are included in " ON " and " OFF " characteristic of the load switching that EUS place occurs).Then, the linear model for voltage is delivered to VCC for determining the normal running of the EUS of the specified conditions of ESS.This simple linear model is used to be such novel method: by using VCC plan and prediction to the voltage behavior of the EEDS caused by EEDS improvement.
First use the single system of an ESS and simple phase line and there is baseload and two repeat the single EUS Improvement of switch load (such as, increase/remove capacitor row, increase/remove voltage stabilizer, reduce impedance or increase distributed power generation) between relation.Represented by the main current-carrying model of more traditional simplification EEDS and the linear statistical of voltage characteristic, linear model change can be obtained and operate by capacitor row the EUS change in voltage caused with association.Once this completes, the effect on EUS voltage can be predicted by VCC, and is used for determining whether to arrive optimal point of operation.
Once set up linear model, then this model can be used for applying simple linear optimization, to determine the best approach that control EEDS improves to meet the desired energy efficiency, demand and reliability.In addition, the method can the cost/benefit of optimization correction, to permit a user to the correction that EEDS chooses optimal selection.
According to a further aspect in the invention, energy scheduling process (EPP) can be used for obtaining AMI data from multiple AMIEUC point, and uses linear technique to set up the linear model of voltage.These Multiple point models can be used for predicting larger emit system (such as, one group of continuous print transmitting element from single point of attachment sends) voltage behavior, mode be by this is arranged with capacitor compared with Iarge-scale system linear feature, the Dynamic System of voltage stabilizer and LTC transformer is associated.Utilize the new model that performance is revised, this optimization can the cost/benefit of the various correction of optimization, thus permits a user to the optimal selection that EEDS chooses correction.
According to a further aspect of the invention, energy scheduling process (EPP) can be used for obtaining AMI data from multiple AMIEUC points and multiple ESS point, and uses linear technique to set up the linear model of voltage.These multiple ESS and EUS point models can be used for predicting larger emit system (such as, one group of continuous print transmitting element from single point of attachment sends) voltage behavior, mode be by this is arranged with capacitor compared with Iarge-scale system linear feature, the Dynamic System of voltage stabilizer and LTC transformer is associated.Utilize the new model of this correction of performance by the cost/benefit of the various correction of optimization, thus the correction that EEDS chooses optimal selection can be permitted a user to.
According to a further aspect of the invention, energy scheduling process (EPP) can be used for obtaining AMI data from multiple AMIEUC points and multiple ESS point, and uses linear technique to set up the linear model of voltage.Energy scheduling process (EPP) can be used for obtaining AMI data from multiple AMIEUC points and multiple ESS point, and uses linearization technique to set up the linear model of voltage.Can based on linearizing characteristic determine for normal running exist inearized model.Use this normal running model as " fingerprint ", other EUS on EEDS can be filtered, to determine (if any) that show abnormal behaviour characteristic, and abnormal EUS point can compare with the expectation characteristic list of expression specific exceptions behavior, the possibility of the lower reliability performance of specific exceptions behavior representation.Exemplarily, the characteristic of the base portion of the instrument be less preferably connected is characterized to have certain linear characteristic in a model.Represent that the observed linear feature of this exception condition can be used for using the voltage data identification from AMI to show any one EUS instrument of this behavior.This allows to solve abnormal before customer equipment fault occurs, thus considerably improves the reliability of EEDS.
According to a further aspect in the invention, energy scheduling process (EPP) can be used for obtaining AMI data from multiple AMIEUC points and multiple ESS point, and uses linear technique to set up the linear model of voltage.Use the AMI data of this model and measurement, EPP can be used to the initial set designing the monitored instrument that can use in voltage control system, with the minimum level of control voltage on EEDS, for implementing CVR.
According to a further aspect in the invention, energy scheduling process (EPP) can be used for obtaining AMI data from multiple AMIEUC points and multiple ESS point, and uses linear technique to set up the linear model of voltage.Voltage data can be used for using voltage correlation analysis to provide positional information about Instrument connection point on circuit.The size of the method operation technique matching voltage and voltage phase, this technology uses the voltage data of each instrument to provide statistical study.Common phase voltage moves associated, and the common voltage of circuit move by use linear regression technique identify.When combining with the latitude in instrument and longitude information, this information can be that main application (primarybasedapplication) (such as, outage management) and DMS real-time model provide specific connectivity inspection.
Consider detailed description and drawings, supplementary features of the present invention, advantage and embodiment can be illustrated, or supplementary features of the present invention, advantage and embodiment are apparent.In addition, should be appreciated that the general introduction before the present invention and detailed description are below all exemplary, object is to provide and further illustrates, instead of the scope of the present invention that restriction claim is advocated.
Accompanying drawing explanation
Be included to provide the accompanying drawing of a further understanding of the present invention to merge in this manual and form a part for instructions, embodiments of the invention being shown and for illustration of principle of the present invention together with detailed description.Except to the present invention and can implement various mode of the present invention basic comprehension may required except, do not attempt to illustrate in greater detail CONSTRUCTED SPECIFICATION of the present invention.In the accompanying drawings:
Fig. 1 illustrates the example of the EEDS be made up of the generating and distribution system that are connected to client's load in accordance with the principles of the present invention;
The example of EUS, control system VCC and EPP that Fig. 2 illustrates Control of Voltage measured at ESS instrument point place in accordance with the principles of the present invention and saving (VCC) system, is made up of the senior meter contact facility (AMI) of measuring voltage and energy;
Fig. 3 illustrates the example of the EEDS be made up of EES, EEDCS and multiple EUS according to principle of the present invention, and general introduction controls the method for loss that (VCC) is associated, that determine EEDCS and EUS with voltage saving;
Fig. 4 illustrates the example of energy scheduling process (EPP) system of instrumentation point (AMI) when analyzing in accordance with the principles of the present invention, and this system comprises the voltage-controlled system of impact and can be corrected to change device or the equipment of EEDS performance;
Fig. 5 illustrates how to utilize linear regression to make ESS data relevant to EUS data with the distribution system example of the simple linear model of the voltage behavior building EEDCS and client's load in accordance with the principles of the present invention;
Fig. 6 illustrates how to carry out modeling to determine the distribution system example of the change in linear system feature to Major Systems in accordance with the principles of the present invention, these features be for connect equipment and Control of Voltage equip concrete correction and formulate;
Fig. 7 illustrate gather by the hour in 24 hours sections in accordance with the principles of the present invention for carrying out the V of the EEDCS voltage data that data compare, one group of ESS voltage and a group with prototype system aMIthe example of voltage (at EUS place);
Fig. 8 illustrates the example in accordance with the principles of the present invention example data from Fig. 7 being carried out to the result of linear regression analysis;
Fig. 9 illustrates the example in accordance with the principles of the present invention example data from Fig. 7 being carried out to the result of the histogram of linear regression analysis;
Figure 10 illustrates the example in accordance with the principles of the present invention example data from Fig. 7 being carried out to the result of the histogram of linear regression analysis;
Figure 11 illustrates in accordance with the principles of the present invention for the example of energy scheduling process (EPP) figure of the plan process of control voltage;
Figure 12 illustrates in accordance with the principles of the present invention for identifying that electric voltage exception value is to formulate the example of the histogram of the EUSAMI voltage data of correction plan to EEDS;
Figure 13 illustrates the distributor circuit example applied in accordance with the principles of the present invention, and EUSAMI data-mapping to circuit line chart, uses for schemer by this application, thus utilizes the circuit planning software exploitation circuit modifications in fact had;
Figure 14 illustrate on EEDS, AMI electrical voltage point is mapped in accordance with the principles of the present invention specific region and module with the specific distributor circuit example controlling service and match; And
Figure 15 illustrates the example of the summary sheet of the exemplary circuit in accordance with the principles of the present invention shown in Figure 14, and it is treated to each model choice initial meter by EPP.Further describe the present invention in the following detailed description.
Embodiment
The non-limiting example that reference is described in the drawings and/explanation is also described in detail in the following description and example, more completely illustrate the present invention and various feature and advantage thereof.It should be noted that the feature shown in accompanying drawing is not necessarily drawn in proportion, and clearly state even without at this, just as what those skilled in the art will recognize that, other embodiments can adopt the feature of an embodiment.The description of well-known components and treatment technology can be omitted, therefore can fuzzy embodiments of the invention necessarily.Example used herein just will help understanding to put into practice mode of the present invention, and makes those skilled in the art to put into practice embodiments of the invention further.Therefore, example here and embodiment should be construed as limiting the scope of the invention.In addition note, in some schematic diagram of accompanying drawing, identical Reference numeral represents similar parts.
In the present invention use " computing machine " represent can according to any machine of one or more instruction treatmenting data, device, circuit, parts, module or any machine, device, circuit, parts, system of module etc., be not restricted ground, such as processor, microprocessor, CPU (central processing unit), multi-purpose computer, supercomputer, personal computer, laptop computer, palmtop computer, notebook computer, desktop PC, workstation computer, server etc., or processor, microprocessor, CPU (central processing unit), multi-purpose computer, supercomputer, personal computer, laptop computer, palmtop computer, notebook computer, desktop PC, workstation computer, array of server etc.
" server " that use in the present invention represents any combination of software and/or hardware, and the client as a client-server architecture part comprised for connecting carries out at least one application and/or at least one computing machine of serving.At least one application examples supports response as included but not limited to by sending to client, accepts to connect the application program from the service request of client.Server can be configured to run at least one application, often bears large workload, unmanned, continues the long time cycle with minimum artificial instruction.Server can comprise multiple computing machine being configured with at least one application, according to workload, distributes at least one application described in a computer.Such as, under large load condition, at least one application described in multiple computer run can be required.Any one of server or its computing machine also can be used as workstation.
" database " that use in the present invention represents any combination of software and/or hardware, comprises at least one application and/or at least one computing machine.Database can comprise the structured set of record according to database model tissue or data, such as but not limited to relational model, hierarchical model, network model etc. at least one of them.Database can comprise data base management system (DBMS) well known in the art application (DBMS).At least one application can include but not limited to such as support response by sending to client, accepts to connect the application program from the services request of client.Database can be configured to run at least one application, often bears large workload, unmanned, continues the long time cycle with minimum artificial instruction.
" communication link " that use in the present invention represents the wired and/or wireless medium transmitting data or information between at least two points.Be not restricted ground, wired or wireless medium such as can comprise metallic conductor link, radio frequency (RF) communication link, infrared (IR) communication link, optical communications link etc.RF communication link such as can comprise WiFi, WiMAX, IEEE802.11, DECT, 0G, 1G, 2G, 3G or 4G mobile phone standard, bluetooth etc.
The term used in the present invention " comprises ", " comprising " and variant thereof represent " including but not limited to ", unless clearly specified in addition.
The term " one " used in the present invention, " one " and " being somebody's turn to do " expression " one or more ", unless clearly specified in addition.
The device intercomed mutually does not need mutual continuous communiction, unless clearly specified in addition.In addition, the device intercomed mutually can directly communicate or by one or more intermediaries indirect communication.
Although treatment step, method step, algorithm etc. can be described according to continuous print order, also can according to be arranged in order these process, method and the algorithm replaced.In other words, describable step any order or order not necessarily represent require carry out described step according to this order.The step of process described herein, method or algorithm can be carried out according to any feasible order.In addition, some step can be carried out simultaneously.
Although there has been described single assembly or project, more than one device or project obviously can be used to replace single assembly or project.Similarly, although there has been described more than one device or project, single assembly or project obviously can be used to replace more than one device or project.Functional or the feature of device specifically is implemented alternatively by not clearly being described as having these other devices one or more that are functional or feature.
The term " computer-readable medium " used in the present invention represents any medium participating in providing the data (such as instruction) read by computing machine.These media can adopt various ways, comprise non-volatile media, Volatile media and transmission medium.Non-volatile media such as can comprise CD or disk and other permanent storagies.Volatile media can comprise dynamic RAM (DRAM).Transmission medium can comprise concentric cable, copper conductor and optical fiber, containing the wire of system bus comprising connection handling device.Transmission medium can comprise or conduct acoustic waves, light wave and electromagnetic radiation, the electromagnetic radiation such as, produced in radio frequency (RF) and infrared (IR) data communication process.The common form of computer-readable medium such as comprises floppy disk, flexible disk, hard disk, tape, any other magnetic medium, CD-ROM, DVD, any other light medium, punched card, paper tape, any other physical medium with sectional hole patterns, RAM, PROM, EPROM, FLASH-EEPROM, any other memory chip or cassette memory, carrier wave as described below or any other medium computer-readable.
Various forms of computer-readable medium can be related to during computing machine move instruction sequence.Such as, i () can transmit instruction sequence from RAM to processor, (ii) by wireless transmission medium move instruction sequence, and/or instruction sequence can format according to multiple format, standard or agreement by (iii), such as, comprise WiFi, WiMAX, IEEE802.11, DECT, 0G, 1G, 2G, 3G or 4G mobile phone standard, bluetooth etc.
According to a limiting examples of the present invention, provide energy scheduling process (EPP) system 1700 (as shown in Figure 2).EPP system 1700 performs the plan function of the disclosed embodiments, and will hereafter be described in more detail.Additionally provide the Control of Voltage and saving (VCC) system 200 that comprise three subsystems, subsystem comprises energy transferring (ED) system 300, energy hole (EC) system 400 and energy adjustment (ER) system 500.The energy that VCC system 200 is configured to monitor ED system 300 uses and determines one or more energy transferring parameters of EC system (or voltage controller) 400.Then EC system 400 can by one or more energy transferring parameter C eDbe supplied to ER system 500, to regulate the energy passing to multiple user, for ceiling capacity saving.In addition, Fig. 2 illustrates energy verification system (EVP) 600.EVP system 600 is for monitoring the change of the EEDS energy from VCC system 200.EVP system 600 is monitored all measured energy flows via communication link 610 and is determined the energy variation that caused by the voltage-controlled change of ER system 500.EVP system 600 also reads weather data information by communication link 620 from suitable weather station 640 and performs EVP process 630.Although other EVP also can be used, in unsettled/P006 application, described more fully exemplary EVP system 600.
EPP system 1700 reads AMI data via communication link 1740 from historical data base 470.EPP system 1700 can process this historical data together with measured AMI data to identify the problem (if existence) in EEDS system 700.EPP system 1700 can also identify any abnormity point caused by advised system correction in analysis, and identify the initial meter for monitoring VCC system 200, until control system starts self-adaptive processing (it comes into question in disclosing 2013/0030591).
VCC system 200 is also configured to monitor the energy variation data from EVP system 600 via communication link 610 and the one or more energy transferring parameters determining EC system (or voltage controller) 400.Then EC system 400 can by one or more energy transferring parameter C eDbe supplied to ER system 500, to regulate the energy passing to multiple user, for ceiling capacity saving.Similarly, EC system 400 can otherwise use energy variation data to control EEDS700.Such as, parts EEDS700 can be modified, adjusts, adds or delete, and comprises and adds Capacitor banks, amendment voltage regulator, change terminating customer equipments to revise client's efficiency and other control operation.Such as VCC system 200 can be integrated into the existing load reduction plan of electric power supply system.Electric power supply system can comprise emergency voltage reduction plan, can start emergency voltage reduction plan when triggering one or more scheduled event.It is overheated etc. that scheduled event such as can comprise emergency, electric conductor when the electric power that transformer exports such as exceedes 80% of its rated power.VCC system 200 is configured to obey load reduction plan when triggering one or more scheduled event, allows to perform load reduction plan, to reduce the voltage of the electric power being supplied to multiple user.
Fig. 1 is similar to Fig. 1 of US publication 2013/0030591, and repeat to illustrate the example of EEDS700 system in accordance with the principles of the present invention based on generating and distribution system 100, this EEDS700 system comprises ESS system 800, EUS system 900 and EEDCS system 1000.Generating and distribution system 100 comprise: power house 110, step-up transformer 120, transformer station 130, multiple step-down transformer 140,165,167 and user 150,160.Power house 110 produces the electric power being supplied to step-up transformer 120.Step-up transformer raises the voltage of electric power, and the electric power of boosting is supplied to transmission of electricity medium 125.ESS800 comprise station 110, step-up transformer 120, transformer station 130, step-down transformer 140,165,167, ER500 as herein described and transmission of electricity medium, this transmission of electricity medium comprises this transmission of electricity medium and comprises for from power house 110 to the medium 125 of user 150,160 through-put power.EUS900 comprises ED300 system as herein described and some energy operative installationss (EUD) 920, and this energy operative installations can be the consumer of power or load, and this consumer comprises customer equipment etc.EEDCS system 1000 comprises transmission medium, and this transmission medium comprises such medium 135, and this medium 135 is bindiny mechanism between ESS800 and EUS900 or other equipment any.
As shown in Figure 1, transmission of electricity medium can comprise lead conductor, such as, carry lead conductor on the ground by electric pole 127,137, and/or such as carry lead conductor by shielded conductor (not shown) in underground.Electric power from step-up transformer 120 as electric power E int () is supplied to transformer station 130, wherein in the electric power E of megawatt (MW) incan be used as the function of time t and change.The electric power E that transformer station 130 will receive int () is converted to electric power E supply(t), and by the electric power E of conversion supplyt () is supplied to multiple user 150,160.By electric power E supplyt () is supplied to user 150,160 before, transformer station 130 is such as by reducing voltage, and adjustable ground converts the electric power E received inthe component of voltage V of (t) in(t).By the electric power E that step-down transformer 140,165,167 reception transformer station 130 provides supply(t), and by the transmission of electricity medium 142,162 such as but not limited to underground electric conductor (and/or ground electric conductor) by electric power E supplyt () is supplied to user 150,160.
Each user 150,160 can comprise senior meter contact facility (AMI) 330.AMI330 can join domain operation center (ROC) 180.ROC180 by multiple communication link 175,184,188, network 170 and/or wireless communication system 190 connect AMI330.Wireless communication system 190 such as can comprise RF transceiver, satellite transceiver etc., but is not limited thereto.
Network 170 such as can comprise Internet, LAN (Local Area Network) (LAN), wide area network (WAN), Metropolitan Area Network (MAN) (MAN), personal area network (PAN), territory, school net, company area net, transmission of electricity medium 125,135 and transformer 140,165,167, Global Regional net (GAN), broad band region net (BAN) etc. at least one of them, wherein any one all can be configured to via wireless and/or wired communication media communication data.Network 170 can be configured to comprise such as annular, net form, linear, tree-like, star, bus, the full network topology that to connect etc.
AMI330 can comprise following any one or more: intelligent instrument, network interface (such as, wan interface etc.), firmware, software, hardware etc.AMI can be configured to determine following any one or more: the kilowatt hour (kWh) of transmission; The kWh received; The kilowatt hour transmitted adds the kilowatt hour of reception; The kilowatt hour transmitted deducts the kilowatt hour of reception; Interval data; Demand data; Voltage; Electric current; Phase place etc.If AMI is three-phase instrument, then can use the numerical value of low phase voltage or each phase that can be used alone in mean value calculation.If this instrument is single-phase meters, single component of voltage can be averaged.
AMI330 also can comprise the one or more gatherers 350 (as shown in Figure 2) being configured to collect intelligent instrument data from one or more AMI, and described one or more intelligent instrument is such as assigned with to measure and report one or more electric power transmission of user 150,160 and the task of consumption.Alternatively (or additionally), one or more gatherer can be arranged on user 150,160 outside, such as, support in the housing of step-down transformer 140,165,167.Each gatherer can be configured to communicate with ROC180.
VCC system 200 is inserted in DMS and AMI system to perform voltage control function.In addition, EVP system 600 is collected weather data and is used the AMI data from ESS system 800 to calculate the energy-saving horizontal obtained by VCC system 200.In addition, EPP system 1700 utilizes VCC system 200 by regularly checking history AMI voltage data and identifying that the problem of EUS voltage performance and the correction increased needed for the efficiency of EEDS system 700 and reliability provide constantly to the method that the performance of EEDS is improved.
VCC system 200
Fig. 2 illustrates the example of VCC system 200 and EVP system 600 in accordance with the principles of the present invention, EVP system 600 monitor VCC more effective lower 5% the energy variation that causes of voltage band control EEDS.VCC system 200 comprises ED system 300, EC system 400 and ER system 500, and wherein each is depicted as dotted ellipse.The energy that VCC system 200 is configured to monitor ED system 300 uses.The energy that ED system 300 monitors one or more user 150,160 uses (as shown in Figure 1), and is used by energy information to send to EC system 400.EC system 400 processes energy and uses information and produce the one or more energy transferring parameter C sending to ER system 500 via communication link 430 eD.ER system 500 receives one or more energy transferring parameter C eD, and based on the energy transferring parameter C received eDregulate the electric power E being supplied to user 150,160 supply(t).EVP system 600 receives weather data and energy usage data and calculates the improvement that the energy that caused by VCC200 uses.
VCC system 200, by power system minimization of loss, reduces user's energy ezpenditure and provides accurate user's Control of Voltage.VCC system 200 can comprise closed-loop process and control application, the voltage set point V in its user's voltage data utilizing ED system 300 to provide such as control ER system 500 on power distribution circuit (not shown) sP.That is, VCC system 200 is by regulating the voltage set point V of power distribution circuit in ER system 500 sP, control the electric power E being supplied to user 150,160 supplythe voltage V of (t) supplyt (), to reduce power loss and to promote the electric power E of customer location 150,160 deliveredt effective use of (), ER system 500 such as can comprise the conversion of one or more load tap (LTC) transformer, one or more voltage stabilizer or other Control of Voltage equipment, to maintain the electric power E passing to user 150,160 deliveredthe voltage V of (t) deliveredthe compacter work strip of (t).
VCC system 200 is based on AMI data and based on the verification msg from EVP system 600 and control or regulate from the information that EPP system 1700 receives the electric power E that EC system 500 provides supplythe voltage V of (t) supplyt (), AMI data comprise the measuring voltage V from user in ED system 300 150,160 meter(t) data.VCC system 200 such as by regulating LTC transformer (not shown), voltage stabilizer (not shown) etc., regulates the voltage set point V of transformer station sPor the circuit voltage stabilizer level in ER system 500, to maintain target voltage band V band-nin user's voltage V meter(t), user's voltage V metert () can comprise safe nominal working range.
VCC system 200 is configured to the electric power E by passing to user 150,160 deliveredt () maintains one or more voltage band V band-nin.Such as, can substantially side by side at two or more voltage bands V band-nmiddle transferring energy, wherein two or more voltage bands can be substantially identical or different.By following equation [1] determined value V band-n:
[1]V Band-n＝V SP+ΔV
Wherein V band-nvoltage range, n be greater than zero positive integer, correspond to the voltage band V that can substantially simultaneously process bandquantity, V sPbe voltage set point value, Δ V is voltage deviation scope.
Such as, for rural area application, VCC system 200 can will pass to the electric power E of user 150,160 deliveredt () maintains the V such as equaling 111V to 129V band-1in band, wherein by V sPbe set to 120V, Δ V be set to departing from of 7 percent five (+/-7.5%).Similarly, for urban applications, VCC system 200 can will pass to the electric power E of user 150,160 deliveredt () maintains the V such as equaling 114V to 126V band-2in band, wherein by V sPbe set to 120V, Δ V be set to departing from of 5 percent (+/-5%).
By to V sPdetermine suitable value with Δ V, VCC system 200 can will pass to the electric power E of user 150,160 delivered(t) maintain user 150,160 can any voltage band V band-n.At this point, use information based on the energy for user 150,160 received from ED system 300, determine V by EC system 400 sPwith Δ V value.
EC system 400 can by V sPwith Δ V value as energy transferring parameter C eDsend to ER system 500, energy transferring parameter C eDalso V can be comprised band-nvalue.Then ER system 500 can will pass to the electric power E of user 150,160 deliveredt () controls and maintains voltage band V band-nin.Energy transferring parameter C eDsuch as can comprise load tap changers (LTC) control command further.
According to principle of the present invention, point value V is set by comparative voltage sP(or voltage band V band-n) change before user 150,160 energy use with voltage set point value V sP(or voltage band V band-n) change after user 150,160 energy use, EVP system 600 can be measured further and verify that energy is saved.Such as by reducing the electric power E passing to user 150,160 deliveredthe voltage V of (t) delivered(t), these are measured and verify the effect that can be used for determining that total energy is saved, and to passing to the energy work rate E of user 150,160 deliveredt () determines optimum transfer voltage band V band-n.
ER system 500
ER system 500 communicates with ED system 300 and/or EC system 400 by network 170.ER system 500 is by communication link 510,430 interconnection network 170 and EC system 400 respectively.ER system 500 also connects ED system 300 by line of electric force 340, and line of electric force 340 can comprise communication link.
ER system 500 comprises transformer station 530, and transformer station 530 such as receives electric power supply E from the power house 110 (as shown in Figure 1) circuit 520 in(t).Electric power E int () comprises component of voltage V in(t) and current component I in(t).The electric power E that transformer station 530 adjustable ground conversion receives int (), such as, by electric power E inthe component of voltage V of (t) int () reduces (or step-down) for being supplied to the electric power E of multiple intelligent instrument 330 on line of electric force 340 supplythe component of voltage V of (t) supply(t).
Transformer station 530 can comprise transformer (not shown), such as load tap conversion (LTC) transformer.At this point, transformer station 530 can comprise the automatic tap changer mechanism (not shown) of the tap be configured on auto-changing LTC transformer further.Tap changer mechanism can in the tap having in load (having load tap changers) or uncharge situation or on both of these case down conversion LTC transformer.Tap changer mechanism can be motor drive and computer-controlled.Transformer station 530 can also comprise buck/boost transformer, to regulate the electric power E of the user be supplied on line of electric force 340 deliveredthe power factor of (t).
Additionally (or alternatively), transformer station 530 can comprise one or more voltage stabilizer or other Control of Voltage well known by persons skilled in the art equipment, can control voltage stabilizer or other Control of Voltage equipment, by the electric power E exported supplythe component of voltage V of (t) supplyt () maintains scheduled voltage, or maintain within the scope of scheduled voltage.
Transformer station 530 receives the energy transferring parameter C from EC system 400 on communication link 430 eD.When LTC transformer is used for electric power E inthe input voltage component V of (t) int () is reduced to the electric power E being supplied to ED system 300 supplythe component of voltage V of (t) supplytime (t), energy transferring parameter C eDsuch as can comprise load tap coefficient.At this point, ER system 500 can utilize load tap coefficient by the component of voltage V of LTC step down side supplyt () remains scheduled voltage, or remain within the scope of scheduled voltage.
LTC transformer such as can comprise 17 or more step-lengths (35 or more an active position), can select each step-length based on the load tap coefficient received.Each conversion of step-length can by the component of voltage V of LTC step down side supplyt () regulates such as little of about 5/16ths (0.3%) or less.
Alternatively, LTC transformer can comprise and be less than 17 step-lengths.Similarly, each conversion of the step-length of LTC transformer can by the component of voltage V of LTC step down side supplyt () regulates and is such as greater than about 5/16ths (0.3%).
Such as by the electric power E to step-down supplythe component of voltage V of (t) supply(t) sampling or continuous coverage and will measure component of voltage V supplyt () value is stored in the storer (not shown) of such as computer-readable medium as the function of time t, can measure and monitoring voltage component V in the low-pressure side of LTC transformer supply(t).Such as can on transformer station's distribution mains etc. monitoring voltage component V supply(t).In addition, for the transmission of electricity in ER system 500 or distribution system, any some measuring voltage component V that can carry out measuring supply(t).
Similarly, the electric power E of input LTC high voltage side of transformer can be measured and monitor inthe component of voltage V of (t) in(t).In addition, can also measure and monitor the electric power E of step-down supplythe current component I of (t) supply(t) and electric power E inthe current component I of (t) in(t).At this point, can determine and monitor electric power E inthe component of voltage V of (t) in(t) and current component I inphase differential between (t) similarly, can determine and monitor electric power E supplythe component of voltage V of (t) supply(t) and current component I supplyphase differential between (t)
Electric power supply status information can be supplied to the EC system 400 on communication link 430 or 510 by ER system 500.Electric power supply status information can comprise the component of voltage V of monitoring supply(t).Electric power supply status information can comprise the component of voltage V of the function as time t further in(t), current component I in(t) and/or phase differential electric power supply status information such as also can comprise the load level (loadrating) of LTC transformer.
With periodic intervals, electric power supply status information can be supplied to EC system 400, such as p.s., every 5 seconds, every 10 seconds, every 30 seconds, every 60 seconds, every 120 seconds, every 600 seconds, or any other value in the scope of the invention determined as those skilled in the art and spirit.By EC system 400 or ER system 500, periodic intervals is set.Alternatively, discontinuously electric power supply status information can be supplied to EC system 400 or ER system 500.
In addition, in response to the request of EC system 400, or when scheduled event being detected, electric power supply status information can be sent to EC system 400.Scheduled event such as can be included in predetermined time interval as component of voltage V supplyt () changes and is greater than the threshold value V that (or being less than) limit supplyThresholdduring the amount of (such as 130V), when the temperature of the one or more parts in ER system 500 exceedes defined temperature threshold, etc.
ED system 300
ED system 300 comprises multiple AMI330.ED system 300 can comprise at least one gatherer 350 selectable further.ED system 300 is by communication link 310 interconnection network 170.ED system 300 connects multiple AMI330 by communication link 320.AMI330 connects ER system 500 by one or more line of electric force 340, and line of electric force 340 also can comprise communication link.
Each AMI330 is configured to be measured by the user 150,160 (as shown in Figure 1) of association, stored and report energy usage data.Each AMI330 is configured to measure and determine that the energy of user 150,160 uses further, comprises the electric power E of the function as the time that user 150,160 uses meterthe component of voltage V of (t) meter(t) and current component I meter(t).AMI330 can at discrete time t smeasure electric power E meterthe component of voltage V of (t) meter(t) and current component I metert (), wherein s is the sampling period, such as s=5 second, 10 seconds, 30 seconds, 60 seconds, 300 seconds, 600 seconds or more.Such as, AMI330 such as can (t per minute 60sec), every 5 minutes (t 300sec), every 10 minutes (t 600sec) or within every more minutes, measure energy use, or the time interval measurement energy use of (such as utilizing randomizer) is set changeably with AMI330.
AMI330 can (such as 5 minutes, 10 minutes, 30 minutes or more) will be measured in predetermined time interval voltage V meter(t) and/or I metert () value is averaged.The electric power E that AMI330 can will measure metert (), comprises the component of voltage V of measurement meter(t) and/or current component I metert () is stored in this locality (or long-range) the storer (not shown) of such as computer-readable medium as intelligent instrument data.
For any voltage V fallen into outside target component band meter(t), electric current I metert () or energy use E metert (), each AMI330 can also at " exception report " MODE of operation.Target component band can comprise target voltage band, target current band or target energy and use band.In " exception report " pattern, AMI330 can initiatively initiating communication intelligent instrument data are sent to EC system 400." exception report " pattern can be used for reconfiguring such as representing the AMI330 of the minimum voltage on the circuit changed needed for system condition.
AMI data periodically can be supplied to gatherer 350 by communication link 320.Additionally, AMI330 in response to the AMI data request signal received from the gatherer 350 on communication link 320, can provide AMI data.
Alternatively (or additionally), such as, by communication link 320,410 and network 170, AMI data periodically directly can be supplied to EC system 400 (such as MAS460) from multiple AMI.At this point, by gatherer 350 bypass, or can cancel from ED system 300.In addition, AMI data in response to the AMI data request signal received from EC system 400, can be directly supplied to EC system 400 by AMI330.When not having gatherer 350, EC system (such as MAS460) can realize the function of gatherer 350 described here.
Request signal such as can comprise inquiry (or reading) signal and AMI identification signal, and the specific AMI330 of AMI data is therefrom searched in the identification of AMI identification signal.AMI data can comprise the following information for each AMI130, such as, comprise kilowatt hour (kWh) data of transmission, the kWh data of reception, the kWh of transmission adds the kWh data of reception, the kWh of transmission deducts reception kWh data, voltage-level data, current-level data, phasing degree, kVar data, time interval data, demand data etc. between voltage and electric current.
Additionally, AMI data can be sent to instrument automatic system server MAS460 by AMI330.According to schedule time table or according to the request of MAS460, AMI data periodically can be sent to MAS460.
Gatherer 350 is configured to receive AMI data via communication link 320 from each AMI330 of multiple AMI330.The AMI data of reception are stored in the local storage (not shown) of such as computer-readable medium (such as, non-transitory computer-readable medium) by gatherer 350.The AMI data compilation of reception is gatherer data by gatherer 350.At this point, such as, based on placing the geographic area of AMI330, the special time band (or scope) collecting AMI data, the subset of AMI330 that identifies in gatherer control signal, can by the AMI data acquisition that receives in gatherer data.When compiling the AMI data received, the component of voltage V that gatherer 350 can will receive in the AMI data from all AMI330 (or subset of all AMI330) metert () value is averaged.
EC system 400 can be selected for predetermined time interval or change the subset of all AMI330 to be monitored, and predetermined time interval such as can comprise 15 minutes intervals.Note, predetermined time interval can be shorter than 15 minutes or be longer than 15 minutes.As required, the subset of all AMI330 is selectable, and changes by EC system 400, to maintain the voltage V being supplied to AMI330 supplyt the minimum levels of () controls.
The electric power E that gatherer 350 also can will receive in the AMI data from all AMI330 (or subset of all AMI330) metert () value is averaged.By communication link 310 and network 170, by gatherer 350, the gatherer data of compiling can be supplied to EC system 400.Such as, the gatherer data of compiling can be sent to the MAS460 (or ROC490) in EC system 400 by gatherer 350.
Gatherer 350 is configured to receive gatherer control signal by network 170 and communication link 310 from EC system 400.Based on the gatherer control signal received, gatherer 350 is configured to select the particular meter in multiple AMI330 further, and by sending AMI request signal to the AMI330 selected, to instrument inquiry AMI data.Then gatherer 350 can in response to inquiry, collects the AMI data that it receives from the AMI330 selected.Selectable AMI330 can comprise any one or more of multiple AMI330.Gatherer control signal such as can comprise the identification of the AMI330 that will inquire (reading), the AMI330 of identification measures V meter(t), I meter(t), E meter(t) and/or ( the electric power E measured at the AMI330 identified meterthe voltage V of (t) meter(t) and electric current I meterphase differential between (t)) time (multiple time), energy use information etc. since the last reading of the AMI330 identified.Then gatherer 350 can compile gatherer data and the gatherer data of compiling be sent to the MAS460 (or ROC490) in EC system 400.
EC system 400
EC system 400 communicates with ED system 300 and/or ER system 500 by network 170.EC system 400 is by one or more communication link 410 interconnection network 170.EC system 400 directly can also be communicated with ER system 500 by communication link 430.
EC system 400 comprises MAS460, database (DB) 470, Distribution Management System (DMS) 480 and region operation center (ROC) 490.ROC490 can comprise computing machine (ROC computing machine) 495, server (not shown) and database (not shown).MAS460 connects DB470 and DMS480 respectively by communication link 420,440.DMS480 connects ROC490 and ER system 500 by communication link 430.Database 470 can be arranged on the position identical with MAS460 (such as adjacent or interior), or database 470 be arranged on such as via the addressable remote location of network 170.
EC system 400 is configured to cancel from the subset of the AMI330 of monitoring select EC system 400 previously to select the AMI330 monitored, but and at the AMI330 of exception report MODE of operation outside the subset selecting monitored AMI330.After non-selected AMI330 receives active AMI data, EC system 400 can realize this change.At this point, EC system 400 can be cancelled or stop and cancels the connection of the AMI330 selected and set up the connection with the AMI330 at exception report MODE of operation newly selected.EC system 400 is configured to select therefrom to receive in described multiple AMI330 such as to comprise minimum measuring voltage component V further meterany one or more AMI330 of the AMI data of (t), and based on from providing minimum measuring voltage component V meterthe AMI data of the AMI330 reception of (t), produce power Transfer Parameters C eD.
MAS460 can comprise the computing machine (not shown) being configured to receive gatherer data from gatherer 350, and gatherer 350 comprises the AMI data of collecting from the AMI330 (or all AMI330) selected.MAS460, by the inquiry be configured to further in response to receiving from ROC490, fetching AMI data and sending AMI data to ROC490.The gatherer data comprising AMI data can be stored in local storage and/or DB470 by MAS460.
DMS480 can comprise the computing machine being configured to receive electric power supply status information from transformer station 530.DMS480, by the inquiry be configured to further in response to receiving from ROC490, fetches and transmits the component of voltage V of measurement meter(t) value and electric power E meter(t) value.DMS480 by the inquiry be configured to further in response to receiving from ROC490, can fetch and transmit the current component I of measurement meter(t) value.DMS480 can also be configured to fetch all " exception report " voltage V from the AMI330 at " exception report " MODE of operation further meter(t), and by voltage V metert () is appointed as will (such as every 15 minutes, or one of them reference mark that less (or more), or in time of change) reads the continuously schedule time." exception report " voltage V metert () can be used for control EC500 set-point.
DMS480 can comprise multiple relevant database (not shown).DB470 comprises a large amount of record, containing for the historical data of each AMI330, each gatherer 350, each transformer station 530 and AMI330, gatherer 350 and transformer station 530 place geographic area (multiple region) (comprising latitude, longitude and height above sea level).
Such as, DB470 can comprise the one or more following information for each AMI330, comprising: geographic position (comprising latitude, longitude and height above sea level); AMI identification number; Account; Account name; Billing Address; Telephone number; AMI type, comprises model and sequence number; The date that AMI comes into operation first; The last timestamp reading (or inquiry) AMI; The AMI data received during last reading; Read the timetable of (or inquiry) AMI, comprise the type of the information that will read; Etc..
History AMI data such as can comprise the electric power E of the specific AMI330 use of the function as the time meter(t).Such as can measure at AMI330 or determine the electric power E of reception meterthe electric power E of (t) metermeasurement time t in the discrete interval at size (kWh) place.History AMI data are included in the electric power E that AMI330 receives meterthe component of voltage V of the measurement of (t) meter(t).History AMI data can be included in the electric power E that AMI330 receives further meterthe current component I of the measurement of (t) meter(t) and/or phase differential
As mentioned above, such as can at every 5 seconds, every 10 seconds, every 30 seconds, every 1 minute, every 5 minutes, every 10 minutes, every 15 minutes etc. sampling period measuring voltage component V meter(t).Also can substantially with component of voltage V metert time measurement current component I that () is identical meter(t) and/or the electric power E received meter(t) value.
In view of memory cost is low, DB470 can comprise from first by AMI330 collect AMI data at the beginning until received the historical data of nearest AMI data by AMI330.
DB470 can comprise the component of voltage V with each measurement meter(t), current component I meter(t), phase component and/or electric power E metert time value that () is associated, it can be included in the timestamp value that AMI330 produces.Timestamp such as can comprise year, month, day, hour, minute, second and several seconds zero point.Alternatively, timestamp can be encoded radio, such as, utilize look-up table encoded radio can be decoded, to determine year, month, day, hour, minute, second and several seconds zero point.ROC490 and/or AMI330 can be configured to such as receive the WWVB atomic clock signal by American National Standard and technological associations (NIST) etc. transmission, and by synchronous with WWVB atomic clock signal for its internal clocking (not shown).
Historical data in DB470 can comprise the historical collector data be associated with each gatherer 350 further.Historical collector data can comprise any one or more of following information, such as, comprise: the specific AMI330 be associated with each gatherer 350; The geographic position (comprising latitude, longitude and height above sea level) of each gatherer 350; Collector types, comprises model and sequence number; The date that gatherer 350 comes into operation first; The last timestamp receiving gatherer data from gatherer 350; The gatherer data received; Wish that gatherer 350 sends the timetable of gatherer data, comprise the type of the information that will send; Etc..
Historical collector data such as can comprise the external temperature value T of time t in the external pelivimetry of each gatherer 350 further collector(t).Historical collector data such as can comprise any one or more for the following data of each gatherer 350 further: the atmospheric pressure value P that time t measures near gatherer 350 collector(t); The humidity value H that time t measures near gatherer 350 collector(t); The wind arrow value W that time t measures near gatherer 350 collectort (), comprises direction and the size of the wind of measurement; The solar radiation value L that time t measures near gatherer 350 collector(t) (kW/m 2); Etc..
Historical data in DB470 can comprise the history substation data be associated with each transformer station 530 further.History substation data can comprise any one or more of following information, such as, comprise: be provided with electric energy E by transformer station 530 supplythe identification of the specific AMI330 of (t); The geographic position (comprising latitude, longitude and height above sea level) of transformer station 530; The quantity of power distribution circuit; The quantity of transformer; The transformer type of each transformer, comprises model, sequence number and maximum rated megavolt-ampere (MVA); The quantity of voltage stabilizer; The voltage stabilizer type of each voltage stabilizer, comprises model and sequence number; The last timestamp receiving substation data from transformer station 530; The substation data received; Wish that transformer station 530 provides the timetable of electric power supply status information, the type of the information that will provide is provided; Etc..
History substation data such as can comprise the electric power E being supplied to each specific AMI330 further supply(t), wherein E supply(t) transformer station 530 measurement of output end or determine.History substation data comprises the electric power E provided supplythe component of voltage V of the measurement of (t) supplyt (), such as can from measuring voltage component V on the distribution mains (not shown) of transformer supply(t).History substation data can comprise the electric power E provided further supplythe current component I of the measurement of (t) supply(t).As mentioned above, such as can at every 5 seconds, every 10 seconds, every 30 seconds, every 1 minute, every 5 minutes, every 10 minutes etc. sampling period measuring voltage component V supply(t), current component I supply(t) and/or electric power E supply(t).History substation data can comprise electric power E further supplythe voltage V of (t) supply(t) and electric current I supplyphase difference value between (t) phase difference value can be used for the electric power E determining to be supplied to AMI330 supplythe power factor of (t).
History substation data such as can be included in the electric power E that the circuit 520 of the input end of transformer station 530 receives further in(t), wherein transformer station 530 input end measuring or determine electric power E in(t).History substation data can comprise the electric power E of reception inthe component of voltage V of the measurement of (t) int (), such as, at the input end measuring component of voltage V of transformer in(t).History substation data can comprise the electric power E of reception further inthe current component I of the measurement of (t) in(t).As mentioned above, such as can at every 5 seconds, every 10 seconds, every 30 seconds, every 1 minute, every 5 minutes, every 10 minutes etc. sampling period measuring voltage component V in(t), current component I in(t) and/or electric power E in(t).History substation data can comprise electric power E further inthe component of voltage V of (t) in(t) and current component I inphase differential between (t) based on phase differential electric power E can be determined inthe power factor of (t).
According to an aspect of the present invention, EC system 400 can store the set kW data of transformer station's level, the voltage data of transformer station's level and weather data, use with the energy of each AMI330 and compare, to determine that the energy of VCC system 200 is saved, and utilize linear regression from calculate, eliminate the impact of weather, load growth, economic benefits etc.
In VCC system 200, such as, can initiate to control from ROC computing machine 495.At this point, can on ROC computing machine 495 display and control screen 305, such as, shown in Fig. 3 of US publication US2013/0030591.Control screen 305 and may correspond to the data having particular substation 530 (such as TRABUE transformer station) in ER system 500.ROC computing machine 495, such as based on the AMI data for user 150,160 received from ED system 300, can control and override (if necessary) transformer station 530 load tap conversion transformer.ED system 300 at predetermined (or variable) interval, such as, on average can be determined the voltage of the electric power being supplied to user 150,160 in every 15 minutes, is maintained within required voltage limit by voltage simultaneously.
In order to security of system, control transformer station 530 by DCL 430 from ROC490 and/or DMS480, comprise and transfer data to ER500, EUS300 and EVP600 by communication link 430 and transmit data from ER500, EUS300 and EVP600.
In addition, operator can initiate voltage control routine on ROC490, if necessary, and override control, and monitoring is read such as user's voltage V of the control of the transformer station LTC transformer (not shown) in ER system 500 metert time that () is used.
EVP system 600
Fig. 3 of unsettled/P006 application illustrates example energy verification process 600, and this process is for determining the energy that each client realized by the VCC system performed in Fig. 1-2 of the present invention is saved.Process beginning 601 and load the data 602 during opening and closing by process manager.Next step collects voltage from the instrumented data point of VCC system and power (MW) data 603 by the hour from DMS480, and it can be a part for supervision and control and data acquisition (SCADA) type industrial control system.Then, under identical condition by the hour, corresponding weather data 604 is collected.Use filtrator and analytical technology to carry out process 605,606,607,608 to improve its quality to data, thus eliminating error ground affect the exceptional value of result, as described further below.Match by the hour if completed, then use linear regression technique to determine hourly group of number 609.Next key step determines best sample pairing 611,612,613,614,615,616,617, as described further below.
EPP system 1700
Fig. 2 also illustrates the example of the EPP system 1700 being applied to distributor circuit, and it also comprises VCC system 200 and EVP system 600, as previously mentioned.EPP system 1700 collects history energy datum and the history voltage data of AMI system from database 470 and/or Distribution Management System (DMS) 480, and it is combined with the CVR factorial analysis of EVP system 600 (it is discussed in detail in unsettled/P006 applies for) produce powerful plan process (EPP system 1700), thus for Correction Problems and improve VCC system 200 raising efficiency application and demand reduce apply ability.
Fig. 3 illustrates the decomposition synoptic chart of the method for EPP system 1700.ESS800 is from the point of fixity supplying energy of the transmission source be connected to ESS800 and occurring source and voltage.EEDCS1000 uses, for distribution system typical mainly connection with auxiliary power, ESS800 is connected to EUS900.The AMI instrument 330 of AMI system measures the energy and voltage that the energy of ESS800 input and voltage and EUS900 export.As shown in Figure 3, the energy loss linearization of EEDCS1000 can be made based on the pressure drop from ESS800 to EUS900, as being expressed from the next: V s-V aMI=B eEDCSxP lossEEDCS, wherein V seSS voltage, V aMIeUS voltage (as measured by AMI330), B eEDCSrepresent the slope of linear regression, and P lossEEDCSrepresent the energy loss of EEDCS1000 loss.Similarly, can based on the energy " loss " of the voltage official post EUS900 between the measured value of load-opening and the measured value of load-closed condition (such as, difference between energy when energy when load is in opening and load are in closed condition) linearization, as being expressed from the next: V aMIon-V aMIoff=B eUSxP lossEUS, wherein V aMIoneUS voltage when being in opening, V aMIoffeUS voltage when being in closed condition, B eUSrepresent the slope of linear regression, and P lossEUSrepresent the energy of load-opening and meet-energy of closed condition between difference.The number percent of the energy loss that can control of EEDCS1000 is less than the order of magnitude of the number percent of the energy loss that can control of EUS900.As an example, in distribution system, the loss of EEDCS1000 is less than 5% of total losses, and the loss of EUS900 is greater than 95% of total losses.
Utilize these principles and the relation between ESS800 voltage and EUS900 voltage, performance standard definition can be derived to allow the design based on the comprehensive optimization EEDCS1000 of independent variable.Based on making power and voltage relationship linearization, this can make neighbouring radial EEDCS1000 preferred aspect, and it can be summed up as the boundary condition searching for linear optimization problem.
Fig. 4 describes for building EPP system 1700 and providing plan variables and the measuring system of input for voltage design optimization.Top block represents each system in EEDS700, such as, and ESS800, EEDCS1000, EUS900 and ED system 300.List below each square frame comprises the example of controlled plan factor, and EPP system 1700 can be utilized to carry out optimization to plan factor and provide cost/benefit analysis.Cost/benefit analysis can be included in optimization or the optimized correction list of voltage can be broken down into the preferred list of design modification, with successive evaluations cost/benefit.AMI instrument point 330 represents and carries out the position measured, its for express optimization calculate needed for model and data.
The chart 1750 of Fig. 5 illustrates that how relevant to the AMI-measuring voltage data of each EUS900 the voltage data from ESS800 is.For creating the importance that the linearization technique (described in Fig. 7-Figure 10) of chart 1750 is the disclosed embodiments.Based on the change of ESS and the EUS load data that the master control person by EEDS system 700 predicts, the simple linearization technique of use of EPP system 1700 makes power supply (such as, ESS) ability that voltage and transmission (such as, EUS) voltage connect creates the effective ways calculated available voltage range.The method also makes the new linear optimization method can estimating various change fast be applied to EEDCS1000 and the final change of document voltage range ability.
Fig. 6 illustrates the method connected with potential change simple linear model and EPP system 1700 identified for carrying out modeling to system.For the system correction of each suggestion, linear model is changed to the effect of performance to the correction of system.Such as, if the system correction advised is the A in system sto power transmission line is added additional capacitor in position, then can by changing model A mthe suitable variable of position carries out modeling to system.Utilize the performance that this is new, system by EPP system 1700 assess to determine the correction advised whether cause the voltage range of adding.Based on predicted ESS load, this additional voltage range can be used from the CVR factor ability one determined and calculate energy and to save and demand is saved, to determine the energy improvement effect combined of advised system correction.EPP system 1700 carries out by the hour assessing until assess per year in 8760 h apart in 24 h apart.This can the quantity of optimization amendment design and priority and the optimal combinatorial search solution revised for EEDS700.
Fig. 7-Figure 10 illustrates and carries out linearizing example to ESS800 and the EUS900 element of in real system.As shown in Figure 7, ESS dATAbe the data from ESS800 and EUS dATAthe AMI data from EUS.These data (ESS dATAand EUS dATA) for assessing.Specifically, as known to persons skilled in the art, ESS dATAcan be used for determining ESS currentvalue, and DeltaV is V s-V aMI.(V=IR+B, wherein V is DeltaV, I is ESS to utilize the equation shown in Fig. 5 current), linear regression calculates and can solve and the slope of the line of data best-fit (R) and pitch (B) (see Figure 10).In this example, the equation of linear regression for data is V s-V aMI=12.9 (ESS current)-1.17.
Fig. 8 shows and to explain from ESS to EUS change in pressure drop 88 to 89% (such as, R by linear technique 2value is 88.3%, and this value describes the degree of tropic fitting data group).In addition, residual error represents the normalization change at EUS place, and the feature of " unlatching " and " closedown " type load switching occurs at EUS place in this change.This feature of EUS concerning planned assignment boosting voltage performance and follow the trail of its reliability effective ways be crucial.Fig. 9 and Figure 10 shows the calculating carried out the degree of this model performance performance of EUS24 hour.This is consistent and the normalization of residual error quilt height in half volt.This provide the feature of description " normally " EUS behavior and measure the view of abnormal EUS behavior.This system is the outstanding model implemented in EPP system 1700.
Figure 11 is the process flow diagram that the energy scheduling process 1500 (such as, voltage plan process) implemented by EPP system 1700 is shown.This process is from reading three main data modules in step 1501: AMI data, ESS data and CVR factor data.As previously mentioned, AMI data are measured voltage datas from EUS900, and ESS data are the measured voltage data from ESS800 and the CVR factor is calculated by EVP600.Then, in step 1502, such as, input history AMI data and history ESS data from database 470.
As above just Fig. 7-Figure 10 discuss, build inearized model in step 1503.In step 1504, by processing the data of reading in and using the energy at ESS place the prediction carried out for determining voltage-operated scope and identifying normal exceptional value (voltage such as, not in boundary).If any voltage is all outside normal boundary, in step 1505, solve these exceptional values by traditional plan process (such as, traditional Solve on site method).
According to the present invention, next step 1506 identifies the voltage represented the particular problem of any pattern that potential reliability has an impact.Linearization process relatively in create can recognize the example of the problem of pattern comprise bad connection between instrument and meter base, overload auxiliary conductor, overload auxiliary transformer, mistake transformer tapping is arranged, the incompatible meter type be connected in meter base is connected with bad neutral.Such as, these can be identified as the data point (such as seeing the some X on the chart 1750 of Fig. 5) that is positioned at outside linear regression.Once identify these problems, first them are made to enter the solution flow process of design in step 1507.Once be solved, the inearized model corrected in step 1508 utilizes the CVR factor for calculating new performance range.If the saving determined meets the next cycle of operation (step 1509), process proceeds to next step 1510.Otherwise, again run there is the inearized model (such as, turning back to step 1504) of stricter tolerance and re-treatment until the energy obtaining target improves.
Last step 1510 is selected the new initial meter group for monitoring and/or is configured to by VCC200 utilize the system performance of the new height predicted by EPP1700 to run.This information is supplied to VCC200 and EVP600 to be configured control within the next cycle of operation then.
Figure 12 illustrates in processes to the example that outlier identification (see chart 1620) and some potential problems that can identify from this step show.Figure 13 illustrates display AMI data analysis being passed to geographical broken line graph, and schemer can use the best of breed of the correction at this figure determination subsidiary level or EUS level place, and without the need to making detailed submodel.This information also can be expressed with various GIS and combine, and to provide the key message of plan, thus selects the best of breed of the circuit modifications of optimization voltage performance.
Figure 14 illustrates the final step of EPP process 1700, wherein, by identifying the instrument be associated with each control module and region, new meter information and correction is converted to the control information that EPP system 1700 uses.Each " region " refers to regulator downstream and next regulator (such as, LTC, regulator) all AMI330 of upstream and each " module " refer to the region affected in space of the feature of distribution system (such as, specific capacitor).In the example depicted in fig. 14, LTC district comprises all AMI330 of the downstream of LTC and the upstream of regulator 1402 (such as, AMI330 in B1 and B2), regulator district comprises all AMI330 in regulator 1402 downstream (such as, AMI330 in B3), and module 2 (B2) comprises all AMI330 in the impact (upstream or downstream) of capacitor 1403.This new instrument and update information are supplied to VCC200 together with detailed configuration information (region/module information) by EPP system 1700, to allow to utilize new correction to implement clearly to control rightly.
Figure 15 illustrates the example for the definitive document by utilizing the initial meter group of EPP system 1700 to the monitoring for CVR to be configured, and instrument utilizes the example of the initial instrument group of EPP system 1700.Recommended setting is provided by EPP system 1700.But, if additional consideration (such as, key client or other standard) has reset the automatic selection process in EPP system 1700, then user can be allowed to change the setting of this recommendation.This final configuration is directly passed to VCC configuration file then for enforcement.
Although describe the present invention according to exemplary embodiment, those skilled in the art will recognize that, the present invention can be put into practice by the amendment in the spirit and scope of appended claims.These examples are only illustrative, do not really want to become of the present invention and likely design, embodiment, application or amendment exclusive list.

Claims (42)

1. Control of Voltage and an energy saving system, this system utilizes linear regression to select the best correction of EEDS system, and provide the potential reliability of improvement with the saving of optimization voltage, this technology comprises:
Electric flux transmission system, it has transformer station, and described transformer station is configured to by the energy supplying system of distribution system to electricity usage system power supply, and described electricity usage system is for the electricity usage device at multiple customer location place;
Instrument, it is arranged at least one of described multiple customer location and place of described transformer station and the measurement component be configured to based on the electric power received by AMI produces AMI data; And
Voltage controller, it is configured to based on described AMI data produce power Transfer Parameters,
Wherein, described transformer station is also configured to regulate based on described energy transferring parameter the voltage set point value being supplied to the electric power of described multiple customer location, and
Wherein, energy verification process compartment of terrain is utilized to measure described voltage and described energy, pairing t measurement is utilized to measure energy feature (such as, the CVR factor) change and energy between the voltage of CVR " unlatching " set-point and the voltage of CVR " closedown " set-point save, described pairing t measurement utilizes best pairing process to determine that energy described in described CVR Summing Factor uses for described electrical energy transfer system and revises.
2. system according to claim 1, wherein, described plan process comprises:
Additional treatments, it utilizes the misoperation of linear regression technique identification voltage, and the pattern relevant with Problem of System Reliability that the linear regression model of operation identifies to database by described linear regression technique compares.
3. system according to claim 1, wherein, uses linear optimization based on carrying out knowledge method for distinguishing as the distribution system loss of performance standard and the performance of saving voltage reduction loss to the correction of described system.
4. system according to claim 1, wherein, uses linearization comparative voltage, makes to utilize the described phase position of AMI voltage relevant to described circuit position to utilize linearization technique.
5. Control of Voltage and an energy saving system, this system utilizes linear regression to select to revise in EEDS system, and provide the potential reliability of improvement with the saving of optimization voltage, described Control of Voltage and energy saving system comprise:
Electrical energy transfer system, it has transformer station, and described transformer station is configured to by the energy supplying system of distribution system to electricity usage system power supply, and described electricity usage system is for the electricity usage device at multiple customer location place;
Multiple instrument, it comprises the instrument at the supply centre place being positioned at described transformer station and is positioned at least one instrument at least one place of respective some customer locations, and the measurement component be configured to based on the electric power received by described instrument produces instrumented data;
Voltage controller, it is configured to reduce opening at saving voltage or save under voltage reduces closed condition run; Wherein, when described controller is in described saving voltage reduction opening but not described saving voltage reduces closed condition, described voltage controller application is saved voltage and is reduced to save the low-yield Transfer Parameters of voltage drop based on described instrumented data generation;
Wherein, described transformer station is also configured to regulate based on described energy transferring parameter the voltage set point value being supplied to the described electric power of described multiple customer location, and
Wherein, utilize energy verification process to measure described voltage and described energy by described instrument compartment of terrain, utilize pairing t measurement to determine that described saving voltage reduces the change of the energy feature between opening and described saving voltage closed condition; And
Wherein, described voltage controller is also configured to utilize the correction of linear optimization to described system to identify based on as the distribution system loss of performance standard and the performance of described saving voltage reduction loss.
6. Control of Voltage and an energy saving system, this system utilizes linear regression to select to revise in EEDS system, and provide the potential reliability of improvement with the saving of optimization voltage, described Control of Voltage and energy saving system comprise:
Electrical energy transfer system, it has transformer station, and described transformer station is configured to by the energy supplying system of distribution system to electricity usage system power supply, and described electricity usage system is for the electricity usage device at multiple customer location place;
Multiple instrument, it comprises the instrument at the supply centre place being positioned at described transformer station and is positioned at least one instrument at least one place of respective some customer locations, and the measurement component be configured to based on the electric power received by described instrument produces instrumented data;
Voltage controller, it is configured to reduce opening at saving voltage or save under voltage reduces closed condition run; Wherein, when described controller is in described saving voltage reduction opening but not described saving voltage reduces closed condition, described voltage controller application is saved voltage and is reduced to save the low-yield Transfer Parameters of voltage drop based on described instrumented data generation;
Wherein, described transformer station is configured to regulate based on described energy transferring parameter the voltage set point value being supplied to the described electric power of described multiple customer location further, and
Wherein, utilize energy verification process to measure described voltage and described energy by described instrument compartment of terrain, utilize pairing t measurement to determine that described saving voltage reduces the change of the energy feature between opening and described saving voltage closed condition; And
Wherein, described voltage controller is also configured to the misoperation utilizing linear regression technique identification voltage, and run linear regression model compares with the pattern relevant with system reliability identified in database by described linear regression technique.
7. system according to claim 6, wherein, described transformer station is also configured to regulate based on the change of energy feature the voltage set point value being supplied to the described electric power of described multiple customer location at described supply centre place.
8. system according to claim 6, wherein, described voltage controller is also configured to regulate described energy transferring parameter based on the change of energy feature.
9. system according to claim 6, wherein, described energy feature is that described saving voltage reduces the factor.
10. system according to claim 6, wherein, described energy feature is that energy is saved.
The data of each instrument wherein, are averaged by 11. systems according to claim 6 in described interval.
12. systems according to claim 6, wherein, described in be spaced apart a period of time of 24 hours.
13. systems according to claim 6, wherein, described in be spaced apart a period of time of 4 hours.
14. systems according to claim 6, wherein, described in be spaced apart a period of time of 1 hour.
15. systems according to claim 6, wherein, described pairing process comprises additional treatments, described pairing t process is divided into by described additional treatments saves voltage and reduces Summing Factor by measuring season and save voltage and save, and use linear regression constant to determine constant duty in predetermined threshold exists and matches that t compares can by the time block of accurate Calculation.
16. systems according to claim 6, wherein, to comprise between instrument with meter base bad is connected, the auxiliary conductor of overload, the auxiliary transformer of overload, the transformer tapping of mistake are arranged, be connected to incompatible meter type in meter base or bad neutral connects in described misoperation.
17. 1 kinds of systems for transmission and disttrbution net, this system is configured to power from supply centre to multiple customer location, and described system comprises:
Multiple sensor, wherein, each sensor is positioned at each place of the multiple power distribution locations on described distribution network, described distribution network is at least one of described multiple customer location and described supply centre place or between at least one and described supply centre of described multiple customer location, and wherein, each sensor is configured to respond to the component of supply electric power at described respective power distribution locations place and the component based on the described electric power of induction produces measurement data;
Controller, it is configured to the described measurement data produce power Transfer Parameters based on receiving from described multiple sensor, and is configured to described transmission and disttrbution net is run in correction opening or under revising closed condition;
Divide quantity regulating device, it is configured in response to described energy transferring parameter to regulate the component of described transmission and disttrbution net;
Wherein, utilize energy verification process to measure the component of described supply electric power by described instrument compartment of terrain, utilize linear regression to determine the change of the energy feature between described correction opening and described correction closed condition; And
Wherein, described controller is configured to utilize the correction of linear optimization to described system to identify based on the performance of described energy feature further.
18. systems according to claim 17, wherein, described controller to be configured to when described controller is in described correction opening but not described correction closed condition time apply described correction with based on described instrumented data produce power Transfer Parameters.
19. systems according to claim 17, wherein, described controller is configured to the change of the energy feature determined between described correction opening and described correction closed condition, and be configured to identify based on the performance of described energy feature and the correction of described limiting voltage condition to described system, described limiting voltage condition determines optimized voltage-operated border.
20. systems according to claim 19, wherein, described correction saves voltage to reduce, and the change of described energy feature is the described saving voltage reduction factor or the saving of described energy.
21. systems according to claim 19, wherein, the performance of described energy feature is the loss of described distribution system, described saving voltage reduces loss or described energy is saved.
22. 1 kinds of systems for transmission and disttrbution net, this system is configured to power from supply centre to multiple customer location, and described system comprises:
Multiple sensor, wherein, each sensor is positioned at each place of the multiple power distribution locations on described distribution network, described distribution network is at least one of described multiple customer location and described supply centre place or between at least one and described supply centre of described multiple customer location, and wherein, each sensor is configured to respond to the component of supply electric power at described respective power distribution locations place and the component based on the described electric power of induction produces measurement data;
Controller, it is configured to receive measurement data from described multiple sensor, and is configured to utilize the technology described voltage measurement data and the pattern relevant with system reliability identified in database compared to identify the misoperation of voltage.
23. systems according to claim 22, wherein, to comprise between instrument with meter base bad is connected, the auxiliary conductor of overload, the auxiliary transformer of overload, the transformer tapping of mistake are arranged, be connected to incompatible meter type in meter base or bad neutral connects in described misoperation.
24. systems according to claim 17, wherein, described energy feature be as performance standard distribution system loss and described saving voltage reduce lose.
25. systems according to claim 17, wherein, the component of described supply electric power is voltage.
26. systems according to claim 17, wherein, a point quantity regulating device for described transmission and disttrbution net comprises: load tap conversion transformer, the voltage of its described electric power regulating described supply centre place to supply based on load tap conversion coefficient; Or regulator, the voltage of its described electric power regulating another some place of described supply centre or described distribution network to supply based on described energy transferring parameter; Or capacity regulator, the voltage of its described electric power regulating the some place on described distribution network to supply based on described energy transferring parameter.
27. systems according to claim 17, wherein, described controller is configured to utilize linear planning technique, described linear planning technique by run linear regression model and comparing with normal energy feature, pattern that normal voltage feature is relevant with normal impedance feature of identifying in database, to predict and modified energy transmission and system reliability.
28. systems according to claim 17, wherein, described controller is configured to utilize the multi-source ESS being merged into linear block.
29. systems according to claim 28, wherein, described multi-source ESS is multiple transformers, and with regard to described model, described multiple transformer is regarded as single phase transformer.
30. systems according to claim 17, wherein, described controller is configured to utilize linearization, GIS coordinate and instrument voltage dependence to determine the degree of approach of described instrument and described regulating device.
31. 1 kinds for controlling the method for the electric power being supplied to multiple power distribution locations, described multiple power distribution locations is at supply centre and at least one customer location place or between described supply centre and at least one customer location described, each in described multiple power distribution locations comprises at least one sensor, at least one sensor described is configured to the voltage of the supply electric power responded at described respective power distribution locations place and the voltage based on described induction produces measurement data, said method comprising the steps of:
Transmission and disttrbution net is controlled in correction opening or under correction closed condition; Wherein, when controller is in described correction opening but not described correction closed condition time, the application of described controller is revised with based on described instrumented data produce power Transfer Parameters;
Run a point quantity regulating device, described regulating device is configured to the component regulating described transmission and disttrbution net in response to described energy transferring parameter;
Utilize energy verification process to measure the component of described supply electric power by described instrument compartment of terrain, and described saving voltage reduce the change of the energy feature between opening and described saving voltage reduction closedown to utilize linear regression to determine; And
Run described controller, identify to utilize the correction of linear optimization to described system based on the performance of described energy feature.
32. 1 kinds for controlling the method for the electric power being supplied to multiple power distribution locations, described multiple power distribution locations is at supply centre and at least one customer location place or between described supply centre and at least one customer location described, each in described multiple power distribution locations comprises at least one sensor, at least one sensor described is configured to the voltage of the supply electric power responding to described respective power distribution locations place and the voltage based on described induction produces measurement data, said method comprising the steps of:
Transmission and disttrbution net is controlled in correction opening or under correction closed condition; Wherein, when controller is in described correction opening but not described correction closed condition time, the application of described controller is revised with based on described instrumented data produce power Transfer Parameters;
Run a point quantity regulating device, described regulating device is configured to the component regulating described transmission and disttrbution net in response to described energy transferring parameter;
Utilize energy verification process to use described instrument compartment of terrain to measure the component of described supply electric power, and described saving voltage reduce the change of the energy feature between opening and described saving voltage reduction closedown to utilize linear regression to determine; And
Run described controller, to utilize the misoperation of linear regression technique identification voltage, the linear regression model of described operation compares to the pattern relevant with system reliability identified in database by described linear regression technique.
33. methods according to claim 31, wherein, the component of described supply electric power is voltage.
34. methods according to claim 31, wherein, described in be modified to save voltage reduce.
35. methods according to claim 31, wherein, a point quantity regulating device for described transmission and disttrbution net comprises: load tap conversion transformer, the voltage of its described electric power regulating described supply centre place to supply based on load tap conversion coefficient; Or regulator, the voltage of its described electric power regulating another some place of described supply centre or described distribution network to supply based on described energy transferring parameter; Or capacity regulator, the voltage of its described electric power regulating the some place on described distribution network to supply based on described energy transferring parameter.
36. methods according to claim 32, wherein, described energy feature saves voltage to reduce the factor.
37. methods according to claim 31, wherein, described energy feature is that energy is saved.
The data of each instrument wherein, are averaged by 38. methods according to claim 31 in described interval.
39. methods according to claim 31, wherein, described in be spaced apart a period of time of 24 hours.
40. methods according to claim 31, wherein, described in be spaced apart a period of time of 4 hours.
41. methods according to claim 31, wherein, described in be spaced apart a period of time of 1 hour.
42. methods according to claim 31, wherein, to comprise between instrument with meter base bad is connected, the auxiliary conductor of overload, the auxiliary transformer of overload, the transformer tapping of mistake are arranged, be connected to incompatible meter type in meter base or bad neutral connects in described misoperation.
CN201480015451.0A 2013-03-15 2014-03-14 Electric power system control with planning of energy demand and energy efficiency using ami-based data analysis Pending CN105122169A (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201361794623P 2013-03-15 2013-03-15
US201361789085P 2013-03-15 2013-03-15
US61/789,085 2013-03-15
US61/794,623 2013-03-15
PCT/US2014/027310 WO2014152408A2 (en) 2013-03-15 2014-03-14 Electric power system control with planning of energy demand and energy efficiency using ami-based data analysis

Publications (1)

Publication Number Publication Date
CN105122169A true CN105122169A (en) 2015-12-02

Family

ID=51581706

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201480015451.0A Pending CN105122169A (en) 2013-03-15 2014-03-14 Electric power system control with planning of energy demand and energy efficiency using ami-based data analysis

Country Status (10)

Country Link
EP (1) EP2972643A4 (en)
JP (1) JP2016517685A (en)
KR (1) KR20150132469A (en)
CN (1) CN105122169A (en)
AU (1) AU2014239865A1 (en)
BR (1) BR112015022540A2 (en)
CA (1) CA2905075A1 (en)
IL (1) IL240647A0 (en)
MX (1) MX2015011547A (en)
WO (1) WO2014152408A2 (en)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9678520B2 (en) 2013-03-15 2017-06-13 Dominion Resources, Inc. Electric power system control with planning of energy demand and energy efficiency using AMI-based data analysis
US9582020B2 (en) 2013-03-15 2017-02-28 Dominion Resources, Inc. Maximizing of energy delivery system compatibility with voltage optimization using AMI-based data control and analysis
US9563218B2 (en) 2013-03-15 2017-02-07 Dominion Resources, Inc. Electric power system control with measurement of energy demand and energy efficiency using t-distributions
US9847639B2 (en) 2013-03-15 2017-12-19 Dominion Energy, Inc. Electric power system control with measurement of energy demand and energy efficiency
US9553453B2 (en) 2013-03-15 2017-01-24 Dominion Resources, Inc. Management of energy demand and energy efficiency savings from voltage optimization on electric power systems using AMI-based data analysis
WO2016123327A1 (en) * 2015-01-29 2016-08-04 Dominion Resources, Inc. Electric power system control with measurement of energy demand and energy efficiency
CN104917187B (en) * 2015-07-14 2018-01-02 国家电网公司 A kind of control method and device of network system
EP3125397B1 (en) 2015-07-29 2019-07-17 Siemens Aktiengesellschaft Method, data processing assembly and computer program product for retrofitting an electrical energy network
US10732656B2 (en) 2015-08-24 2020-08-04 Dominion Energy, Inc. Systems and methods for stabilizer control
WO2020192920A1 (en) * 2019-03-28 2020-10-01 Siemens Aktiengesellschaft Method for monitoring an electrical device
SE1951342A1 (en) * 2019-11-25 2021-05-26 Climeon Ab Method and module controller for controlling a power producing system
KR102515188B1 (en) * 2020-04-22 2023-03-31 한국전력공사 Hybrid deep learning scheduling method for accelerated processing of multi-ami data stream in edge computing

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101897096A (en) * 2009-02-11 2010-11-24 埃森哲环球服务有限公司 Method and system for reducing feeder circuit loss using demand response
US20120041696A1 (en) * 2010-08-10 2012-02-16 Sensus Usa Inc. Electric Utility Meter To Stimulate Enhanced Functionality
US20120053751A1 (en) * 2009-02-03 2012-03-01 Dong Energy Power A/S Distributed electrical power production system and method of control thereof
CN102570468A (en) * 2010-11-25 2012-07-11 施耐德电器工业公司 Method and device for determining the structure of a power grid
US20120221265A1 (en) * 2011-02-28 2012-08-30 International Business Machines Corporation Systems and methods for phase identification
US20130030591A1 (en) * 2009-05-07 2013-01-31 Powell Phillip W Voltage conservation using advanced metering infrastructure and substation centralized voltage control

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102055201B (en) * 2010-12-09 2012-11-14 北京四方继保自动化股份有限公司 Power system low-frequency oscillation mechanism analysis method based on micro-disturbance signal oscillation mode recognition

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120053751A1 (en) * 2009-02-03 2012-03-01 Dong Energy Power A/S Distributed electrical power production system and method of control thereof
CN101897096A (en) * 2009-02-11 2010-11-24 埃森哲环球服务有限公司 Method and system for reducing feeder circuit loss using demand response
US20130030591A1 (en) * 2009-05-07 2013-01-31 Powell Phillip W Voltage conservation using advanced metering infrastructure and substation centralized voltage control
US20120041696A1 (en) * 2010-08-10 2012-02-16 Sensus Usa Inc. Electric Utility Meter To Stimulate Enhanced Functionality
CN102570468A (en) * 2010-11-25 2012-07-11 施耐德电器工业公司 Method and device for determining the structure of a power grid
US20120221265A1 (en) * 2011-02-28 2012-08-30 International Business Machines Corporation Systems and methods for phase identification

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
THOMAS L.WILSON: ""Measurement and Verification of Distribution Voltage Optimization Results for the IEEE Power & Energy Society"", 《IEEE》 *

Also Published As

Publication number Publication date
JP2016517685A (en) 2016-06-16
WO2014152408A2 (en) 2014-09-25
CA2905075A1 (en) 2014-09-25
AU2014239865A1 (en) 2015-09-03
KR20150132469A (en) 2015-11-25
IL240647A0 (en) 2015-10-29
MX2015011547A (en) 2016-05-31
EP2972643A2 (en) 2016-01-20
EP2972643A4 (en) 2017-03-01
BR112015022540A2 (en) 2017-07-18
WO2014152408A3 (en) 2015-10-29

Similar Documents

Publication Publication Date Title
US10775815B2 (en) Electric power system control with planning of energy demand and energy efficiency using AMI-based data analysis
US11550352B2 (en) Maximizing of energy delivery system compatibility with voltage optimization
CN105122169A (en) Electric power system control with planning of energy demand and energy efficiency using ami-based data analysis
CN102549880B (en) Utilize the voltage saving that senior meter contact facility and transformer station's lumped voltage control
US10476273B2 (en) Management of energy demand and energy efficiency savings from voltage optimization on electric power systems using AMI-based data analysis
US11755049B2 (en) Systems and methods for stabilizer control
CN105190453A (en) Management of energy on electric power systems
CN105052000A (en) Electric power system control with measurement of energy demand and energy efficiency using t - distributions
EP3890140B1 (en) Maximizing of energy delivery system compatibility with voltage optimization using ami-based data control and analysis

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20151202

WD01 Invention patent application deemed withdrawn after publication