CN107171435A - Power distribution network monitors energy conserving system - Google Patents
Power distribution network monitors energy conserving system Download PDFInfo
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- CN107171435A CN107171435A CN201710167553.XA CN201710167553A CN107171435A CN 107171435 A CN107171435 A CN 107171435A CN 201710167553 A CN201710167553 A CN 201710167553A CN 107171435 A CN107171435 A CN 107171435A
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- 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
- H02J13/00007—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 the power network as support for the transmission
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- 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
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
-
- 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
- Y02E40/30—Reactive power compensation
-
- 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
- Y04S10/22—Flexible AC transmission systems [FACTS] or power factor or reactive power compensating or correcting units
-
- 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
- Y04S40/121—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 the power network as support for the transmission
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
Energy conserving system is monitored the invention discloses power distribution network.Belong to power distribution network monitoring energy-saving technology field, the system can reduce power distribution network energy consumption, and the quality of power supply of user can be improved, database platform is communicated to connect with electric energy meter, electric energy meter is connected with non-intrusion type load monitoring device, non-intrusion type load monitoring device is connected with user's capacitor, and the reactive-load compensation end of reactive power compensator is connected on the circuit between non-intrusion type load monitoring device and user's capacitor, and control end and the network control platform of reactive power compensator are communicated to connect；Non-intrusion type load monitoring decomposing module is connected with database platform, user behavior pattern is analyzed and load prediction module is connected with non-intrusion type load monitoring decomposing module, power network weak spot judges and equipment remote control module is analyzed with user behavior pattern and load prediction module is connected, and network control platform judges with power network weak spot and equipment remote control module is connected.
Description
Technical field
The present invention relates to power distribution network monitoring energy-saving technology field, and in particular to power distribution network monitors energy conserving system.
Background technology
Energy consumption monitoring initially comes from the proposition of metering separate imagination, it is necessary to possess complete, operational excellence end measuring equipment,
Building advanced measuring system turns into key.Only to user's internal load constituent analysis, power information acquisition system is improved, so that
It is convenient that conservation measures is taken to user and building.From the point of view of present case, the gap of energy-conservation this respect is monitored to power distribution network very
Greatly.First, the metered condition of energy consumption monitoring compares shortcoming, and many energy consumption equipments are not equipped with gauge table according to the rules, at present
Most of public buildings only have total ammeter, total gas meter etc. to be the considerably less gauge table of number, and lacking building inside, each uses energon
The real-time of system, subitem energy data, it is difficult to accurately grasp the respective present situation of energy consumption of subsystems in building, it is impossible to realize
The use of science can be managed.
The content of the invention
The present invention is that there is provided a kind of reliability height, energy in order to solve existing power distribution network monitoring energy-conservation above shortcomings
Power distribution network energy consumption is reduced, and the power distribution network monitoring energy conserving system of the quality of power supply of user can be improved.
Above technical problem is solved by following technical proposal：
Power distribution network monitors energy conserving system, including is separately positioned on database platform, program module and the network control of local side
Platform processed；Also include user's capacitor, reactive power compensator, electric energy meter and the non-intrusion type load prison for being separately positioned on user side
Survey device；Program module include non-intrusion type load monitoring decomposing module, user behavior pattern analysis and load prediction module and
Power network weak spot judges and equipment remote control module；Database platform is communicated to connect with electric energy meter, electric energy meter and non-intrusion type
Load monitoring device is connected, and non-intrusion type load monitoring device is connected with user's capacitor, the reactive-load compensation of reactive power compensator
End is connected on the circuit between non-intrusion type load monitoring device and user's capacitor, the control end and net of reactive power compensator
Network control platform is communicated to connect；Non-intrusion type load monitoring decomposing module is connected with database platform, user behavior pattern analysis
And load prediction module is connected with non-intrusion type load monitoring decomposing module, power network weak spot judges and equipment remote control module
It is connected with user behavior pattern analysis and load prediction module, network control platform judges with power network weak spot and equipment is remotely controlled
Molding block is connected.
Non-intrusion type load decomposition is on the basis of the electrical quantity such as measurement user side voltage, electric current, to realize total to user
The decomposition of load, estimates the information such as the use state of single electrical equipment.On the basis of load is decomposed, to user behavior mould
Formula is analyzed, and reactive-load compensation equipment is controlled using network and the communication technology, realizes the reduction and raising of building energy consumption
The quality of power supply of user, reliability is high.
Preferably, the non-intrusion type load monitoring decomposing module is to be used to be collected user's side data, use
The data processing unit of non-intrusion type load monitoring decomposing module carries out denoising to high-frequency noise, then to the user side after denoising
The transient process and steady-state process of data are separated, and are extracted characteristic quantity and construction feature space and are judged that load type is carried out
Decompose；The user behavior pattern is analyzed and load prediction module is to first pass through data aggregate to set up multi-level electricity consumption behavior mould
Type, load prediction curve is provided after then understanding analysis to different classes of electricity consumption behavior model；The power network weak spot judges
And equipment remote control module is by the analyzing and processing to user's side data, the electricity consumption behavior model of call establishment, according to tide
Stream simulation result judges that voltage does not conform to lattice point and network loss sensitizing range and period, using telecommunication is to intelligent capacitor and enters
Row controls to improve the user side quality of power supply and reduction network loss.
Preferably, the network control platform is using distributed two-step evolution framework, main website part is by many services
Device is constituted, and is responsible for the calculating task that distribution AVC coordinates calculating section, while also undertaking database server, rights management service
The function of device and curve report server；Substation part includes using embedded hardware module, is set in embedded hardware module
There are data acquisition channel, instruction to perform passage, local Optimal Decision-making logical sum the superior and the subordinate coordination system interface.
Preferably, the control process of the non-intrusion type load monitoring decomposing module is：Zero is always held by measuring system
Line current and node voltage data simultaneously draw curve, for the white Gaussian noise often occurred in load waveform, using wavelet transformation
Method goes flash removed data；After denoising on the basis of waveform, calculate and obtain user side active power and reactive power and work(
Rate factors curve；Waveform steady-state process and transient process are separated using power waveform, t is definedkThe active power at moment
ForReactive power isThen have：
Above formula represents that the active and reactive power amplitude of fluctuation in continuous multiple cycles is stable state mistake no more than certain limit
Journey, transient process beginning and end stage steady state power is subtracted each other the absolute value as transient-wave of acquisition；Pass through steady state power
Change carries out classification judgement to switching load, and the load that feature obtains putting into or cutting out in transient process is extracted with reference to transient-wave
Specific nature, obtains different type load in intraday operation curve, input database platform is simultaneously set up by drawing decomposition
Files on each of customers.
Preferably, the control process of the user behavior pattern analysis and load prediction module is：First to collection
Power information data, Customer Service Information, meteorological data and geographic information data are stored and to obtain user side after being handled big
Data resource, then in conjunction with user side big data resource and the decomposition result of above-mentioned operation curve, by the way of pattern-recognition
The similar user of electricity consumption behavior is clustered, user is attributed to industrial user, commercial user, resident and comprehensive use
This four big species of family；Behavior pattern to every class user is identified analysis and extracts pattern feature, builds user behavior pattern
Model；On the basis of time, space and user type, the behavior pattern model of above-mentioned structure is called, using short-term
The method of prediction obtains the customer charge demand curve of future time section.
Preferably, the power network weak spot judges and the control process of equipment remote control module is：By to idle
The control of compensation equipment is compensated to voltage weak spot and network loss sensitizing range；
First the input future anticipation period user is active and the data of reactive requirement, compare under different capabilities user side without
Simulation run result after work(compensation equipment investment, obtains the operation network loss under each mode and the voltage level of each node,
And judge whether operating point is in stability region under different capabilities according to criterion；
The criterion is：By the input of user side active power reactive power, obtain the power load distributing of power distribution network and can consume
Lose, do not conform to lattice point, power network weak spot and network loss sensitizing range for voltage and judge, the judgment criterion that voltage does not conform to lattice point is：
Vk≤VminorVk≥Vmax
The determination methods of power network weak spot are：On the basis of the reactive power margin index of Q-V curves, pass through the electricity of structure
Force system simulation model, defines reactive power and voltage sensibility index：dQi/dVi, represent slope of a curve at operating point；Root
It is point at dQ/dV=0 according to the limit point of voltage stabilization, dQ/dV ＞ 0 is met on the right side of the limit point, are system voltage stable region
Domain, the vertical range for defining operating point to bottom limit point is that reactive power nargin is Δ Qi, given threshold is Qmax, under satisfaction
State condition：
ΔQi＜ Qmax
Then ensure that operating point is in voltage stabilization region；Meeting on the basis of each node voltage meets threshold requirement,
The scheme of selection wherein loss minimization；Judged by power network weak spot and equipment remote control module is carried out to user's side capacitors
Control changes its switching group number, and the user's side data being collected into by network control platform judges power distribution network under new running status
The reactive voltage level and network loss level of network, continue to reactive-load compensation equipment be controlled adjustment until the whole network network loss reach it is relatively low
Level.
The present invention can reach following effect：
Non-intrusion type load decomposition of the present invention is the realization pair on the basis of the electrical quantity such as measurement user side voltage, electric current
The decomposition of user's total load, estimates the information such as the use state of single electrical equipment.On the basis of load is decomposed, to user
Behavior pattern is analyzed, and reactive-load compensation equipment is controlled using network and the communication technology, realizes the reduction of building energy consumption
And the quality of power supply of user is improved, reliability is high.
Brief description of the drawings
Fig. 1 is system architecture schematic diagram of the invention.
Fig. 2 is the schematic diagram of the control process of non-intrusion type load monitoring decomposing module.
Fig. 3 is the control process schematic diagram of user behavior pattern analysis and load prediction module.
Fig. 4 is the control process schematic diagram of the judgement of power network weak spot and equipment remote control module.
Fig. 5 is the schematic diagram of network control platform.
Embodiment
The present invention is further illustrated with embodiment below in conjunction with the accompanying drawings.
Embodiment 1, power distribution network monitoring energy conserving system, it is shown in Figure 1, including be separately positioned on local side database put down
Platform, program module and network control platform；Also include user's capacitor, reactive power compensator, the electricity for being separately positioned on user side
Can table and non-intrusion type load monitoring device；Program module includes non-intrusion type load monitoring decomposing module, user behavior pattern
Analysis and load prediction module and power network weak spot judge and equipment remote control module；Database platform and electric energy meter communication link
Connect, electric energy meter is connected with non-intrusion type load monitoring device, non-intrusion type load monitoring device is connected with user's capacitor, idle
The reactive-load compensation end of compensation device is connected on the circuit between non-intrusion type load monitoring device and user's capacitor, idle to mend
The control end and network control platform for repaying device are communicated to connect；Non-intrusion type load monitoring decomposing module connects with database platform
Connect, user behavior pattern analysis and load prediction module are connected with non-intrusion type load monitoring decomposing module, and power network weak spot is sentenced
Disconnected and equipment remote control module is analyzed with user behavior pattern and load prediction module is connected, and network control platform is thin with power network
Weakness judges and the connection of equipment remote control module.
The non-intrusion type load monitoring decomposing module is to be used to be collected user's side data, negative using non-intrusion type
The data processing unit of lotus monitoring decomposing module carries out denoising to high-frequency noise, then to the transient state of user's side data after denoising
Process and steady-state process are separated, and are extracted characteristic quantity and construction feature space and are judged that load type is decomposed；It is described
User behavior pattern is analyzed and load prediction module is to first pass through data aggregate to set up multi-level electricity consumption behavior model, then to not
Generic electricity consumption behavior model provides load prediction curve after understanding analysis；The power network weak spot judges and equipment is remotely controlled
Molding block is, by the analyzing and processing to user's side data, the electricity consumption behavior model of call establishment, to be sentenced according to Power flow simulation result
Power-off pressure does not conform to lattice point and network loss sensitizing range and period, and intelligent capacitor is improved with being controlled using telecommunication
The user side quality of power supply and reduction network loss.
The network control platform is that, using distributed two-step evolution framework, main website part is made up of multiple servers, is born
The calculating task that distribution AVC coordinates calculating section is blamed, while also undertaking database server, right management server and curve report
The function of list server；Substation part includes using embedded hardware module, and data acquisition is provided with embedded hardware module
Passage, instruction perform passage, local Optimal Decision-making logical sum the superior and the subordinate coordination system interface.User's capacitor include motor,
Air-conditioning, electrothermal furnace etc..
Shown in Figure 2, the control process of the non-intrusion type load monitoring decomposing module is：Always held by measuring system
Neutral line current and node voltage data simultaneously draw curve, for the white Gaussian noise often occurred in load waveform, are become using small echo
The method of changing goes flash removed data；After denoising on the basis of waveform, calculate obtain user side active power and reactive power and
Power factor curve；Waveform steady-state process and transient process are separated using power waveform, t is definedkThe wattful power at moment
Rate isReactive power isThen have：
Above formula represents that the active and reactive power amplitude of fluctuation in continuous multiple cycles is stable state mistake no more than certain limit
Journey, transient process beginning and end stage steady state power is subtracted each other the absolute value as transient-wave of acquisition；Pass through steady state power
Change carries out classification judgement to switching load, and the load that feature obtains putting into or cutting out in transient process is extracted with reference to transient-wave
Specific nature, including resistive load, motor load (electric fan, washing machine and mixer etc.), electronics electric appliances and illumination
Electrical equipment etc..Different type load is obtained in intraday operation curve by drawing decomposition, and input database platform simultaneously sets up use
Family archives.
Current and voltage data collection is carried out first, and Noise reducing of data processing then is carried out to data, user power is then carried out
Drawing of Curve, then carries out temporary steady-state process analysis, then carries out transient process amount and extracts and the extraction of steady-state process amount, Ran Houjin
Row decomposes load type and judged, then will decompose load curve input database.The feature that transient process amount is extracted includes transient state
Power waveform feature, starting current wave character and voltage noise feature.The feature that steady-state process amount is extracted includes power step
Feature, steady-state current waveform feature, V-I track characteristics and higher hamonic wave feature.
Shown in Figure 3, the control process of the user behavior pattern analysis and load prediction module is：First to collection
Power information data, Customer Service Information, meteorological data and geographic information data stored and obtain user side after being handled
Big data resource, then in conjunction with user side big data resource and the decomposition result of above-mentioned operation curve, using the side of pattern-recognition
Formula is clustered the similar user of electricity consumption behavior, and user is attributed into industrial user, commercial user, resident and synthesis
This four big species of user；Behavior pattern to every class user is identified analysis and extracts pattern feature, builds user behavior mould
Formula model；On the basis of time, space and user type, the behavior pattern model of above-mentioned structure is called, using short
The method of phase prediction obtains the customer charge demand curve of future time section.First to carry out user side big data collection, Ran Houjin
Row user clustering, then carries out user behavior modeling, carries out load prediction then in conjunction with time, space and user type, then
Power flow simulation is carried out, voltage weak spot is then carried out according to power load distributing and active reactive loss and network loss sensitive spot judges.
Shown in Figure 4, the power network weak spot judges and the control process of equipment remote control module is：By to nothing
The control of work(compensation equipment is compensated to voltage weak spot and network loss sensitizing range；
First the input future anticipation period user is active and the data of reactive requirement, compare under different capabilities user side without
Simulation run result after work(compensation equipment investment, obtains the operation network loss under each mode and the voltage level of each node,
And judge whether operating point is in stability region under different capabilities according to criterion；
The criterion is：By the input of user side active power reactive power, obtain the power load distributing of power distribution network and can consume
Lose, do not conform to lattice point, power network weak spot and network loss sensitizing range for voltage and judge, the judgment criterion that voltage does not conform to lattice point is：
Vk≤VminorVk≥Vmax
The determination methods of power network weak spot are：On the basis of the reactive power margin index of Q-V curves, pass through the electricity of structure
Force system simulation model, defines reactive power and voltage sensibility index：dQi/dVi, represent slope of a curve at operating point；Root
It is point at dQ/dV=0 according to the limit point of voltage stabilization, dQ/dV ＞ 0 is met on the right side of the limit point, are system voltage stable region
Domain, the vertical range for defining operating point to bottom limit point is that reactive power nargin is Δ Qi, given threshold is Qmax, under satisfaction
State condition：
ΔQi＜ Qmax
Then ensure that operating point is in voltage stabilization region；Meeting on the basis of each node voltage meets threshold requirement,
The scheme of selection wherein loss minimization；Judged by power network weak spot and equipment remote control module is carried out to user's side capacitors
Control changes its switching group number, and the user's side data being collected into by network control platform judges power distribution network under new running status
The reactive voltage level and network loss level of network, continue to reactive-load compensation equipment be controlled adjustment until the whole network network loss reach it is relatively low
Level.The prediction input of user side active reactive is carried out first, is then changed user side reactive apparatus runtime value, is then carried out trend
Emulation obtains the distribution of each node voltage, then judges voltage weak spot and network loss sensitizing range, judges whether network loss voltage is reasonable,
Change user side reactive apparatus runtime value again if unreasonable, user's capacitor control instruction is issued if rationally.
Shown in Figure 5, network control platform uses dsp chip to data processing, utilizes multilayer circuit board designing technique
And control algolithm, the increasingly automated of hardware device is realized, it is intelligent.System integration technology.By conventional art and device and newly
Control system and data platform combination get up, constitute an advanced system, fully solve power distribution network power optimization, energy-conservation
Consumption reduction, intelligent management and control, the requirement of science decision.The network platform and control system：Based on SOA, support comprehensively OPC/UA frameworks, across
Platform application is cross-platform, open, configuration high modularization monitor supervision platform, interface flexible, objective interface, easy to operate.
System is realized using the pattern of configuration software+optimized algorithm+expert system+real-time data base, supports multiple systems
Platform, in that context it may be convenient in Windows, Linux, Unix platform lower administration.System uses the mould of commercial data base+real-time database
Formula, that is, ensure the scale calculated, ensures the speed calculated again.The data of embedded hardware, data acquisition and instructions coordinate are all led to
Cross substation and be transmitted to AVC (advanced video coding) calculating group, AVC coordinates calculating, database server, monitor workstation and authority
The data of manager also input to AVC and calculate group.
Finally illustrate, the above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted, although with reference to compared with
The present invention is described in detail good embodiment, it will be understood by those within the art that, can be to skill of the invention
Art scheme is modified or equivalent substitution, and without departing from the objective and scope of the technical program, it all should cover in the present invention
Right among.
Claims (6)
1. power distribution network monitors energy conserving system, it is characterised in that database platform, program module including being separately positioned on local side
And network control platform；Also include user's capacitor, reactive power compensator, electric energy meter and the non-intruding for being separately positioned on user side
Formula load monitoring device；It is pre- that program module includes non-intrusion type load monitoring decomposing module, user behavior pattern analysis and load
Survey module and power network weak spot judges and equipment remote control module；Database platform and electric energy meter are communicated to connect, electric energy meter with
Non-intrusion type load monitoring device is connected, and non-intrusion type load monitoring device is connected with user's capacitor, reactive power compensator
Reactive-load compensation end is connected on the circuit between non-intrusion type load monitoring device and user's capacitor, the control of reactive power compensator
End processed is communicated to connect with network control platform；Non-intrusion type load monitoring decomposing module is connected with database platform, user behavior
Pattern analysis and load prediction module are connected with non-intrusion type load monitoring decomposing module, and power network weak spot judges and equipment is long-range
Control module is analyzed with user behavior pattern and load prediction module is connected, and network control platform judges and set with power network weak spot
Standby remote control module connection.
2. power distribution network according to claim 1 monitors energy conserving system, it is characterised in that the non-intrusion type load monitoring point
Solution module is to be used to be collected user's side data, using the data processing unit pair of non-intrusion type load monitoring decomposing module
High-frequency noise carries out denoising, and then the transient process and steady-state process to user's side data after denoising are separated, and are extracted
Characteristic quantity and construction feature space simultaneously judge that load type is decomposed；
The user behavior pattern is analyzed and load prediction module is to first pass through data aggregate to set up multi-level electricity consumption behavior model,
Then load prediction curve is provided after understanding analysis to different classes of electricity consumption behavior model；
The power network weak spot judges and equipment remote control module is by the analyzing and processing to user's side data, call establishment
Electricity consumption behavior model, judge that voltage does not conform to lattice point and network loss sensitizing range and period according to Power flow simulation result, using remote
Cheng Tongxin improves the user side quality of power supply and reduction network loss to intelligent capacitor with being controlled.
3. power distribution network according to claim 2 monitors energy conserving system, it is characterised in that the network control platform is to use
Distributed two-step evolution framework, main website part is made up of multiple servers, is responsible for the calculating times that distribution AVC coordinates calculating section
Business, while also undertaking the function of database server, right management server and curve report server；Substation part includes adopting
Embedded hardware module is used, passage, local Optimal Decision-making are performed provided with data acquisition channel, instruction in embedded hardware module
Logical sum the superior and the subordinate coordination system interface.
4. power distribution network according to claim 2 monitors energy conserving system, it is characterised in that the non-intrusion type load monitoring point
Solving the control process of module is：Neutral line current and node voltage data are always held by measuring system and curve is drawn, for load
The white Gaussian noise often occurred in waveform, flash removed data are gone using small wave converting method；After denoising on the basis of waveform, meter
Calculate and obtain user side active power and reactive power and power factor curve；Using power waveform to waveform steady-state process and temporarily
State process is separated, and defines tkThe active power at moment isReactive power isThen have：
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Above formula represents that the active and reactive power amplitude of fluctuation in continuous multiple cycles is no more than certain limit as steady-state process, will
Transient process beginning and end stage steady state power subtracts each other the absolute value as transient-wave of acquisition；Pass through steady state power change pair
Switching load carries out classification judgement, and the load specifics that feature obtains putting into or cutting out in transient process is extracted with reference to transient-wave
Matter, obtains different type load in intraday operation curve, input database platform simultaneously sets up user's shelves by drawing decomposition
Case.
5. power distribution network according to claim 1 monitors energy conserving system, it is characterised in that the user behavior pattern analysis and
The control process of load prediction module is：First to power information data, Customer Service Information, meteorological data and the geography of collection
Information data is stored and obtained after being handled user side big data resource, then in conjunction with user side big data resource and above-mentioned fortune
The decomposition result of row curve, the similar user of electricity consumption behavior is clustered, user is summed up by the way of pattern-recognition
For this four big species of industrial user, commercial user, resident and synthetic user；Behavior pattern to every class user is identified
Analyze and extract pattern feature, build user behavior pattern model；On the basis of time, space and user type,
The behavior pattern model of above-mentioned structure is called, the customer charge demand for obtaining future time section using the method for short-term forecast is bent
Line.
6. power distribution network according to claim 1 monitors energy conserving system, it is characterised in that the power network weak spot judges and set
It is for the control process of remote control module：Voltage weak spot and network loss sensitizing range are entered by the control to reactive-load compensation equipment
Row compensation；
Active and reactive requirement the data of the user of input future anticipation period first, compare the idle benefit of user side under different capabilities
The simulation run result after equipment investment is repaid, the operation network loss under each mode and the voltage level of each node, and root is obtained
Judge whether operating point is in stability region under different capabilities according to criterion；
The criterion is：By the input of user side active power reactive power, the power load distributing and energy loss of power distribution network are obtained, it is right
Do not conform to lattice point, power network weak spot and network loss sensitizing range in voltage to be judged, the judgment criterion that voltage does not conform to lattice point is：
Vk≤Vmin or Vk≥Vmax
The determination methods of power network weak spot are：On the basis of the reactive power margin index of Q-V curves, pass through the power train of structure
System simulation model, defines reactive power and voltage sensibility index：dQi/dVi, represent slope of a curve at operating point；According to electricity
The stable limit point of pressure is point at dQ/dV=0, and dQ/dV ＞ 0 are met on the right side of the limit point, are system voltage stability region, fixed
The vertical range of adopted operating point to bottom limit point is that reactive power nargin is Δ Qi, given threshold is Qmax, meet following
Part：
ΔQi＜ Qmax
Then ensure that operating point is in voltage stabilization region；Meeting on the basis of each node voltage meets threshold requirement, selection
The wherein scheme of loss minimization；Judged by power network weak spot and equipment remote control module is controlled to user's side capacitors
Change its switching group number, the user's side data being collected into by network control platform judges distribution network under new running status
Reactive voltage level and network loss level, continue to be controlled reactive-load compensation equipment adjustment until the whole network network loss reaches relatively low water
It is flat.
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