CN101834438A - Distribution network state and operation mode optimization method based on DSCADA system - Google Patents
Distribution network state and operation mode optimization method based on DSCADA system Download PDFInfo
- Publication number
- CN101834438A CN101834438A CN200910047270A CN200910047270A CN101834438A CN 101834438 A CN101834438 A CN 101834438A CN 200910047270 A CN200910047270 A CN 200910047270A CN 200910047270 A CN200910047270 A CN 200910047270A CN 101834438 A CN101834438 A CN 101834438A
- Authority
- CN
- China
- Prior art keywords
- state
- distribution network
- data
- operating mode
- value
- 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
Links
Classifications
-
- 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
- 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
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a distribution network state and operation mode optimization method based on DSCADA system. The method includes distribution network state estimation and operation mode optimization. Compared with the prior art, the invention greatly reduces work load of finding data error by manpower and greatly improves data quality of comprehensive data platform, optimization of operation mode can greatly promote economic operation and safe operation of distribution network, both economic benefit and social benefit are great.
Description
Technical field
The present invention relates to state of electric distribution network and estimate and the optimizing operating mode method, relate in particular to state of electric distribution network and optimizing operating mode method based on the DSCADA system.
Background technology
Distribution Automation Technology is an important means that improves distribution network operation level, managerial skills and reduce the wastage.In recent years, all on the different levels different scales, pilot has been carried out in power distribution automation work, and accumulated many experiences and lessons in many cities of China.
In order to satisfy the requirement of social development and national economy to high-quality and efficient power supply, realize " the last one three is excellent " construction object of State Grid Corporation of China, be necessary further to strengthen the process of power distribution automation practicability.State Grid Corporation of China organizes manpower on the basis of comprehensive summing up past power distribution automation practical experience, the external advanced practical technology trends of contrast, actual needs from China's power supply department, study a kind of economy, technology adaptation China power distribution automation developing stage target, progressively push power distribution automation work to practicalization stage by stage, by different level.
The Shanghai Electric Power Co is as the mainly unit of drafting of " practical city power distribution automated system technology guide rule ", in order to cooperate the realization of this technology guide rule correlation technique of state net company, be necessary correlation technique link in the technology guide rule is carried out pilot study, target is the relevant issues of checking relative theory and solution project implementing process, and obtains the on-the-spot real data of correlation technique index.
The DSCADA project that carry out at present the Shanghai Electric Power Co advances and the line loss project implementation that becomes more meticulous, complete collection and the integrated good basis of having established for power distribution network information, but, the bad of the quality of data caused in the mass data characteristics of distribution and a plurality of system data source, information on the same equipment is often contradictory, is necessary to carry out state of electric distribution network and estimates.
This proposes the State Estimation Study based on the DSCADA system, data to power distribution network are carried out Analysis of Compatibility, for the various senior optimizing application analysis and research of power distribution network provide the good data basis, the optimization of operational mode will promote the economical operation and the safe operation of power distribution network greatly, have bigger theoretical research and practical value.
Summary of the invention
Purpose of the present invention is exactly in order to overcome the defective that above-mentioned prior art exists, state of electric distribution network and the optimizing operating mode method of a kind of high-efficiency reliable based on the DSCADA system to be provided.
Purpose of the present invention can be achieved through the following technical solutions: state of electric distribution network and optimizing operating mode method based on the DSCADA system is characterized in that this method comprises state of electric distribution network estimation and optimizing operating mode;
Described state estimation may further comprise the steps:
(1) " static load calibration ", input variable is some static informations, and this static information comprises part throttle characteristics, and power supply number of users and season etc., output variable is " static state " value of meritorious and reactive power consumption;
(2) " topological load verification " utilizes " static state " value, the up-to-date measuring value that collects and the current network topological structure of power consumption in the step (1) to determine " dynamically " value meritorious, reactive loss; Described " dynamically " value conduct " the pseudo-measurement " is with the input of reality measurement as state estimation;
(3) compatibility of data is handled;
(4) requirement of using according to corresponding distribution with the consistent load tide flow data of power distribution network, according to the combination requirement of different data and state, is stored in the corresponding subject data base;
Described optimizing operating mode may further comprise the steps:
(1) from database, obtains data and the state that optimizing operating mode calculates;
(2) be that target function and other power supply reliability indexs are constraint to reduce the power distribution network active loss, by calculating and line loss analyzing, adopt corresponding optimized calculation method to determine to make on the circuit operational mode of the distribution network on off state best of breed of line loss minimum to realize the network reconfiguration function to trend distribution situation on the distribution line.
Described SCADA is data acquisition and supervisor control.
Compared with prior art, the workload that the present invention will manually search error in data significantly reduces, improve the quality of data of integrated data platform greatly, the optimization of operational mode will promote the economical operation and the safe operation of power distribution network greatly, be that economic benefit or social benefit are all very huge.
Embodiment
The present invention will be further described below in conjunction with specific embodiment.
The present invention is based on the state of electric distribution network of DSCADA system and optimizing operating mode method and be exactly under the situation that line current, load, voltage, electric weight equivalent in the given area measures, calculate the state variable of power distribution network, state estimator is to be used for handling the redundant measurements that contains interference or error message, so that obtain accurate and compatible information.
State of electric distribution network estimates that the step of analyzing is as follows:
The first step:: " static load calibration ", input variable is some static informations, as part throttle characteristics, power supply number of users and season etc., output variable is " static state " value of meritorious and reactive power consumption;
Second step: " topological load verification ", utilize " static state " value of power consumption in the first step, the up-to-date measuring value that collects and current network topological structure to determine " dynamically " value meritorious, reactive loss; These value conducts " the pseudo-measurement " are with the input of reality measurement as state estimation;
The 3rd step: the Analysis of Compatibility of data, state estimation problem can be returned and be separated is a nonlinear weight least square problem, and its constraints is linear in the working point.The input measurement that is used for state estimation in DMS is existing U, and the puppet that P, Q, I measure and calculated by the top utilization topology load verification method of mentioning measures;
The 4th step: according to the requirement of the senior application algorithm of corresponding distribution, the consistent load tide flow data with power distribution network according to the combination requirement of different data and state, stores in the corresponding subject data base.
The power distribution network operational mode is analyzed:
The first step: from corresponding subject data base, obtain data and state that optimizing operating mode calculates;
Second step: to reduce the power distribution network active loss is that target function and other power supply reliability indexs are constraint, by calculating and line loss analyzing, adopt corresponding optimized calculation method to determine to make on the circuit operational mode of the distribution network on off state best of breed of line loss minimum to realize the network reconfiguration function to trend distribution situation on the distribution line.
Claims (2)
1. based on the state of electric distribution network and the optimizing operating mode method of DSCADA system, it is characterized in that this method comprises state of electric distribution network estimation and optimizing operating mode;
Described state estimation may further comprise the steps:
(1) " static load calibration ", input variable is some static informations, and this static information comprises part throttle characteristics, and power supply number of users and season etc., output variable is " static state " value of meritorious and reactive power consumption;
(2) " topological load verification " utilizes " static state " value, the up-to-date measuring value that collects and the current network topological structure of power consumption in the step (1) to determine " dynamically " value meritorious, reactive loss; Described " dynamically " value conduct " the pseudo-measurement " is with the input of reality measurement as state estimation;
(3) compatibility of data is handled;
(4) requirement of using according to corresponding distribution with the consistent load tide flow data of power distribution network, according to the combination requirement of different data and state, is stored in the corresponding subject data base;
Described optimizing operating mode may further comprise the steps:
(1) from database, obtains data and the state that optimizing operating mode calculates;
(2) be that target function and other power supply reliability indexs are constraint to reduce the power distribution network active loss, by calculating and line loss analyzing, adopt corresponding optimized calculation method to determine to make on the circuit operational mode of the distribution network on off state best of breed of line loss minimum to realize the network reconfiguration function to trend distribution situation on the distribution line.
2. state of electric distribution network and optimizing operating mode method based on the DSCADA system according to claim 1 is characterized in that described SCADA is data acquisition and supervisor control.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910047270A CN101834438A (en) | 2009-03-09 | 2009-03-09 | Distribution network state and operation mode optimization method based on DSCADA system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200910047270A CN101834438A (en) | 2009-03-09 | 2009-03-09 | Distribution network state and operation mode optimization method based on DSCADA system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101834438A true CN101834438A (en) | 2010-09-15 |
Family
ID=42718410
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200910047270A Pending CN101834438A (en) | 2009-03-09 | 2009-03-09 | Distribution network state and operation mode optimization method based on DSCADA system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101834438A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101969198A (en) * | 2010-09-30 | 2011-02-09 | 河海大学 | Method for estimating electrical power system state with consideration of load static property |
| CN102185315A (en) * | 2011-05-16 | 2011-09-14 | 广东电网公司深圳供电局 | Enhanced-message-service (EMS)-based method for reconstructing 110kV regional grid network |
| CN103578043A (en) * | 2013-10-30 | 2014-02-12 | 广东电网公司电力科学研究院 | Device, method and system for processing power grid data |
| CN107171327A (en) * | 2017-03-23 | 2017-09-15 | 国网山东省电力公司青岛供电公司 | A kind of Power Network Status Estimation method and apparatus |
-
2009
- 2009-03-09 CN CN200910047270A patent/CN101834438A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101969198A (en) * | 2010-09-30 | 2011-02-09 | 河海大学 | Method for estimating electrical power system state with consideration of load static property |
| CN101969198B (en) * | 2010-09-30 | 2013-04-10 | 河海大学 | Method for estimating electrical power system state with consideration of load static property |
| CN102185315A (en) * | 2011-05-16 | 2011-09-14 | 广东电网公司深圳供电局 | Enhanced-message-service (EMS)-based method for reconstructing 110kV regional grid network |
| CN102185315B (en) * | 2011-05-16 | 2013-10-09 | 广东电网公司深圳供电局 | Enhanced-message-service (EMS)-based method for reconstructing 110kV regional grid network |
| CN103578043A (en) * | 2013-10-30 | 2014-02-12 | 广东电网公司电力科学研究院 | Device, method and system for processing power grid data |
| CN103578043B (en) * | 2013-10-30 | 2017-02-01 | 广东电网公司电力科学研究院 | Device, method and system for processing power grid data |
| CN107171327A (en) * | 2017-03-23 | 2017-09-15 | 国网山东省电力公司青岛供电公司 | A kind of Power Network Status Estimation method and apparatus |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109086963B (en) | Line loss theoretical calculation lean management method | |
| CN102545213A (en) | System and method for managing line loss of power grid in real time | |
| CN105119282A (en) | On-line calculation system and method for theoretical line loss of power grid | |
| CN104951866A (en) | Line loss comprehensive-management benchmarking evaluating system and method for county-level power enterprises | |
| CN102545204B (en) | Automatic generation method and device of power grid fault set | |
| Stewart et al. | Addressing the challenges for integrating micro-synchrophasor data with operational system applications | |
| CN103066592A (en) | Power network loss on-line monitoring method | |
| CN102856896B (en) | On-line analytical method for direct-current transmission loss | |
| CN108629491A (en) | A kind of change of current change repair quality comprehensive estimation method | |
| CN101834438A (en) | Distribution network state and operation mode optimization method based on DSCADA system | |
| CN101685964B (en) | Online scheduling aid decision method and system based on large-scale parallel processing | |
| CN115186974A (en) | Power distribution network power supply quality comprehensive evaluation method and system based on business middling station | |
| CN102426623A (en) | Automatic failure fitting modeling method for power load modeling | |
| CN102968668A (en) | Urban power distribution network evaluation system and method | |
| CN110311369A (en) | A kind of stabilization of power grids section short term curve prediction method and system | |
| CN112308736B (en) | Information processing method and device for complex environments of areas | |
| CN201417948Y (en) | Distribution network status and operating mode optimizing system based on DSCADA system | |
| CN115049004B (en) | Power distribution network line loss management aid decision-making system based on multi-source data fusion | |
| CN111062825A (en) | Low-voltage fault diagnosis and rapid power restoration method based on mobile App | |
| CN103400215A (en) | Method associating PMU measurement equipment with electrical-network operational data equipment | |
| CN116136580A (en) | Line loss grading detection method and device based on sensing equipment | |
| CN108830744B (en) | Dynamic verification method for external network equivalent model of designated area in power system | |
| CN109543974A (en) | A kind of overhead transmission line state evaluation system and its working method | |
| CN117610980B (en) | Auxiliary analysis method and device for measurement quality of electric power system | |
| CN103401240B (en) | Method for recovering observability of series compensators |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20100915 |