CN103473608B - Intelligent power distribution network efficiency evaluation index treatment process - Google Patents
Intelligent power distribution network efficiency evaluation index treatment process Download PDFInfo
- Publication number
- CN103473608B CN103473608B CN201310393983.5A CN201310393983A CN103473608B CN 103473608 B CN103473608 B CN 103473608B CN 201310393983 A CN201310393983 A CN 201310393983A CN 103473608 B CN103473608 B CN 103473608B
- Authority
- CN
- China
- Prior art keywords
- index
- power distribution
- intelligent power
- evaluation
- weighted mean
- 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.)
- Active
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
- 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
Abstract
The present invention provides a kind of intelligent power distribution network efficiency evaluation index treatment process, the method is by the automatic acquisition and processing to intelligent power distribution network data, take into account real time data and historical data, layout data and service data, from the index characterizing intelligent power distribution net reliability, economy, spatter property, interactive four aspects, calculate and generate intelligent power distribution network efficiency comprehensive assessment index. The intelligent power distribution network efficiency evaluation index treatment process of the present invention is without in human intervention situation, automatic synchronization real time data and historical data, layout data and service data, from the high efficiency of reliability, economy, spatter property, interactive four aspects assessment intelligent power distribution net, there is the adaptivity of network.
Description
Technical field
The present invention relates to intelligent power distribution network efficiency evaluation index treatment process, belong to intelligent power distribution network technology Application Areas.
Background technology
Intelligent grid is the development trend of following electrical network, there is the features such as safety, self-healing, interaction, compatibility, cleaning, efficient, high-quality, tackling climate change, ensure national energy security, promoting to have vital role in green economy development, promotion power industry Energy restructuring etc., its core motivating force is solution energy security and environmental issue, reply climate change. Intelligent power distribution net is the important component part of intelligent grid, has the essential characteristic of intelligent grid. Applying of distributed power source and Large Copacity accumulator system, the access of micro-capacitance sensor and electromobile, the plurality of energy supplies modes such as hot and cold, Electricity Federation product coexist, the Large Copacity dynamic loads such as central air-conditioning get more and more, the development and application of intelligence equipment, making the power supply in intelligent power distribution net, load present the feature of wide area distribution, user participates in the Changing Pattern that interaction changes load, energy, information and business two-way flow.
Intelligent power distribution net is proposed the demand of Effec-tive Function by energy environment pressure, and intelligent power distribution net can adopt multiple means to realize Effec-tive Function. Make rational planning for and utilize distributed power source can reduce fault range of influence, improve trend distribution, reduce energy long distance conveying, realize energy-saving and emission-reduction. Correct guidance user participates in interaction and can improve operation of power networks level, reduces peak-valley difference, reduces or delay power grid construction investment. Distributed power source exert oneself stability and adjustable controllability poor, the risk of the more high power network safety operation of rate of permeation is more big. The mutual-action behavior of user has spontaneity and randomness, makes the change of part throttle characteristics be difficult to prediction, and in addition correct guidance will not affect the safe and stable operation of electrical network. The high efficiency of intelligent power distribution net to be assessed be formulation science construction scheme, make full use of distributed energy, promote user to participate in interaction, guides the theoretical foundation of high efficiency development, has theoretical significance and practical value.
High efficiency, as the important feature of intelligent grid, is embodied in optimization asset management, less energy-consumption, energy-saving and emission-reduction, falls the aspect such as low-carbon emission, renewable energy utilization. Intelligent power distribution net is as the important component part of intelligent grid, and its high efficiency requires to utilize various modern technique to reduce power grid construction, running cost, meets user to the demand of delivery and quality of power supply in the way of low cost, less energy-consumption; Reduce power grid construction investment, it is achieved effective utilization of fund, optimize asset management; Improve energy utilization rate, especially play clean energy effect, progressively improve energy structure, alleviate energy and environment pressure; Promote Condition-Based Maintenance Technology, break strip and block management mode, it is achieved inter-sectional information sharing and global optimization. Consequently, it is desirable to according to above-mentioned requirements, set up intelligent power distribution network efficiency evaluation index system.
Summary of the invention
Technical problem: it is an object of the invention to provide intelligent power distribution network efficiency evaluation index treatment process, by characterizing intelligent power distribution net reliability, economy, spatter property, interactive index calculate, comprehensive generation intelligent power distribution network efficiency evaluation index, thus the high efficiency realizing intelligent power distribution network planning being drawn, build and running carries out comprehensive eye exam.
Technical scheme: intelligent power distribution network efficiency evaluation is by the automatic acquisition and processing to intelligent power distribution network data, take into account real time data and historical data, layout data and service data, from the index characterizing intelligent power distribution net reliability, economy, spatter property, interactive four aspects, calculate and generate intelligent power distribution network efficiency comprehensive assessment index.
The intelligent power distribution network efficiency evaluation index treatment process of the present invention is without in human intervention situation, automatic synchronization real time data and historical data, layout data and service data, from the high efficiency of reliability, economy, spatter property, interactive four aspects assessment intelligent power distribution net, there is the adaptivity of network. Concrete steps are as follows:
1) reliability assessment module does not have a power failure according to load when the average frequency of power cut of user, the average power off time of user, power failure electricity accounting, the average attaching capacity of circuit segmentation, fault equipment accounting and evaluation index weight, obtain network reliability by weighted mean; Value according to circuit availability and equipment availability index and evaluation index weight, obtain equipment dependability by weighted mean; Value according to uninterrupted operation accounting and repair based on condition of component fraction of coverage index and evaluation index weight, obtain technical supervision reliability by weighted mean; Then network reliability, equipment dependability and technical supervision reliability index are carried out the reliability index that weighted mean obtains intelligent power distribution net again, and the reliability index data obtained are sent to efficiency evaluation module;
2) economic evaluation module according to Unit Assets year delivery, the maximum supply load of Unit Assets, the value of capacity-load ratio index and evaluation index weight, obtain building economy by weighted mean; Value according to economical operation skew degree, equipment underloading rate, comprehensive line loss rate, Unit Assets year running maintenance cost, loss of outage index and evaluation index weight, obtain performance driving economy by weighted mean; Then construction economy and economical operation type index are carried out the economic index that weighted mean obtains intelligent power distribution net again, and the economic index data obtained are sent to efficiency evaluation module;
3) spatter property evaluation module is according to the value of coal saving, oil saving index and evaluation index weight, obtains fossil energy saving by weighted mean; Value according to carbon dioxide emission reduction amount, sulfurous gas reduction of discharging amount, oxycarbide reduction of discharging amount index and evaluation index weight, obtain gas abatement amount by weighted mean; Value and evaluation index weight according to strength of electric field average deviation, magneticstrength average deviation index obtain electromagnetic pollution degree; Value according to noise intensity average deviation index obtains sound pollution degree; Then fossil energy saving, gas abatement amount, electromagnetic pollution degree, sound pollution level index are carried out again the spatter property index that weighted mean obtains intelligent power distribution net, and the spatter property achievement data obtained is sent to efficiency evaluation module;
4) interactive evaluation module is according to the value of electrical network peak-valley ratio, peak load accounting, demand response user's accounting, electrical power services user satisfaction, electromobile intelligent charge accounting, distributed power generation accounting index and evaluation index weight, obtains energy interactions index by weighted mean; Share according to department information, the value of cross business accounting index and evaluation index weight, obtain business interaction index by weighted mean; Value according to distribution terminal information acquisition rate, intelligent electric meter fraction of coverage, two-way communication system ovelay range index and evaluation index weight, obtain information interaction index by weighted mean; Then energy interactions, business interaction, information interaction index are carried out again the interactive index that weighted mean obtains intelligent power distribution net, and the interactive achievement data obtained is sent to efficiency evaluation module;
5) data that efficiency evaluation module is sent according to reliability assessment module, economic evaluation module, spatter property evaluation module and interactive evaluation module, are added and export the efficiency evaluation desired value of intelligent power distribution net.
Useful effect: index treatment process for intelligent power distribution network efficiency evaluation described in the present invention has the following advantages:
(1) evaluate unified to the construction of intelligent power distribution net, planning and operation, it is achieved distribution network meets user to the demand of delivery and quality of power supply in the way of low cost, less energy-consumption.
(2) from multiple angle of increasing income and decreasing expenditure, the high efficiency of distribution network can be evaluated, realize the optimum management of distribution network assets, effective utilization of fund, it is possible to improve energy utilization rate, especially play clean energy effect, improve energy structure, alleviate energy and environment pressure.
Accompanying drawing explanation
Fig. 1 is intelligent power distribution network efficiency evaluation index system.
Embodiment
Intelligent power distribution network efficiency evaluation index processing scheme is according to the intelligent power distribution net layout data gathered and service data, calculating on the reliability index of intelligent power distribution net, economic index, spatter property index and interactive index basis, generate intelligent power distribution network efficiency evaluation desired value. Concrete evaluation process is as follows:
1) reliability assessment module does not have a power failure according to load when the average frequency of power cut of user, the average power off time of user, power failure electricity accounting, the average attaching capacity of circuit segmentation, fault equipment accounting and evaluation index weight, as Hexi new city's distribution network be respectively 0.1 time, 1.5 minutes, 0.3%, 4kVA, 100%, obtaining network reliability by weighted average calculation is 4.3629; Value according to circuit availability and equipment availability index and evaluation index weight, as Hexi new city's distribution network is 99.5%, obtaining equipment dependability by weighted average calculation is 4.3550; Value according to uninterrupted operation accounting and repair based on condition of component fraction of coverage index and evaluation index weight, be respectively 18% and 100%, be 3.5614 by weighted average calculation technical supervision reliability such as Hexi new city's distribution network; Then network reliability, equipment dependability and technical supervision reliability index carry out reliability index that weighted average calculation obtains intelligent power distribution net again is 4.3638, and the reliability index data calculated are sent to efficiency evaluation module;
2) economic evaluation module according to Unit Assets year delivery, the maximum supply load of Unit Assets, the value of capacity-load ratio index and evaluation index weight, as Hexi new city's distribution network is respectively 27000MWh, 8.2MW, 2, building economy by weighted average calculation is 2.7458; Value according to economical operation skew degree, equipment underloading rate, comprehensive line loss rate, Unit Assets year running maintenance cost, loss of outage index and evaluation index weight, as Hexi new city's distribution network is respectively 14%, 8%, 5.8%, 510 yuan, 2,900 ten thousand yuan, it is 3.4997 by weighted average calculation performance driving economy; The economic index that then construction economy and economical operation type index carry out weighted average calculation intelligent power distribution net again is 3.6930, and the economic index data calculated are sent to efficiency evaluation module;
3) spatter property evaluation module is according to the value of coal saving, oil saving index and evaluation index weight, as Hexi new city's distribution network is respectively 0.01%, 0.03%, is 1.0237 by weighted average calculation fossil energy saving; Value according to carbon dioxide emission reduction amount, sulfurous gas reduction of discharging amount, oxycarbide reduction of discharging amount index and evaluation index weight, as Hexi new city's distribution network is respectively 344.4213kg, 60.4800kg, 0.1625kg, it is 2.1596 by weighted average calculation gas abatement amount; According to strength of electric field average deviation, magneticstrength average deviation, value and the evaluation index weight calculation of index obtain electromagnetic pollution degree, and as Hexi new city's distribution network is respectively 0.01%, 0.02%, calculating electromagnetic pollution degree is 4.8924; Value according to noise intensity average deviation index, as Hexi new city's distribution network is respectively 1.2986%, calculating sound pollution degree is 3.8722; The spatter property index that then fossil energy saving, gas abatement amount, electromagnetic pollution degree, sound pollution level index carry out weighted average calculation intelligent power distribution net again is 2.5934, and the spatter property achievement data calculated is sent to efficiency evaluation module;
4) interactive evaluation module is according to the value of electrical network peak-valley ratio, peak load accounting, demand response user's accounting, electrical power services user satisfaction, electromobile intelligent charge accounting, distributed power generation accounting index and evaluation index weight, as Hexi new city's distribution network is respectively 20%, 6%, 0.05%, 98%, 0,0.05%, obtaining energy interactions index by weighted average calculation is 4.4835; Share according to department information, the value of cross business accounting index and evaluation index weight, as Hexi new city's distribution network is 100%, be 4.9482 by weighted average calculation business interaction index; Value according to distribution terminal information acquisition rate, intelligent electric meter fraction of coverage, two-way communication system ovelay range index and evaluation index weight, as Hexi new city's distribution network is respectively 100%, 30%, 80%, it is 4.0547 by weighted average calculation information interaction index; Then energy interactions, business interaction, information interaction index carry out interactive index that weighted average calculation obtains intelligent power distribution net again is 4.2377, and the interactive achievement data calculated is sent to efficiency evaluation module;
5) data that efficiency evaluation module is sent according to reliability assessment module, economic evaluation module, spatter property evaluation module and interactive evaluation module, it is added and exports the efficiency evaluation desired value of intelligent power distribution net, if Hexi new city's distribution network is 4.3302, belong to the good distribution network of comprehensive high-efficiency.
Claims (1)
1. an intelligent power distribution network efficiency evaluation index treatment process, it is characterized in that the method coordinates real time data and historical data, layout data and service data, from the high efficiency of reliability, economy, spatter property, interactive four aspects assessment intelligent power distribution net, the adaptivity with network, concrete steps are as follows:
1) reliability assessment module does not have a power failure according to load when the average frequency of power cut of user, the average power off time of user, power failure electricity accounting, the average attaching capacity of circuit segmentation, fault equipment accounting and the evaluation index weight of correspondence thereof, obtain network reliability by weighted mean; According to circuit availability and the value of equipment availability index and the evaluation index weight of correspondence thereof, obtain equipment dependability by weighted mean; According to uninterrupted operation accounting and the value of repair based on condition of component fraction of coverage index and the evaluation index weight of correspondence thereof, obtain technical supervision reliability by weighted mean; Then network reliability, equipment dependability and technical supervision reliability index are carried out the reliability index that weighted mean obtains intelligent power distribution net again, and the reliability index data obtained are sent to efficiency evaluation module;
2) economic evaluation module according to Unit Assets year delivery, the maximum supply load of Unit Assets, the value of capacity-load ratio index and the evaluation index weight of correspondence thereof, obtain building economy by weighted mean; According to economical operation skew degree, equipment underloading rate, comprehensive line loss rate, Unit Assets year running maintenance cost, the value of loss of outage index and the evaluation index weight of correspondence thereof, obtain performance driving economy by weighted mean; Then construction economy and economical operation type index are carried out the economic index that weighted mean obtains intelligent power distribution net again, and the economic index data obtained are sent to efficiency evaluation module;
3) spatter property evaluation module is according to the value of coal saving, oil saving index and evaluation index weight, obtains fossil energy saving by weighted mean; According to carbon dioxide emission reduction amount, sulfurous gas reduction of discharging amount, the value of oxycarbide reduction of discharging amount index and the evaluation index weight of correspondence thereof, obtain gas abatement amount by weighted mean; Electromagnetic pollution degree is obtained according to strength of electric field average deviation, the value of magneticstrength average deviation index and the evaluation index weight of correspondence thereof; Value according to noise intensity average deviation index obtains sound pollution degree; Then fossil energy saving, gas abatement amount, electromagnetic pollution degree, sound pollution level index are carried out again the spatter property index that weighted mean obtains intelligent power distribution net, and the spatter property achievement data obtained is sent to efficiency evaluation module;
4) interactive evaluation module is according to electrical network peak-valley ratio, peak load accounting, demand response user's accounting, electrical power services user satisfaction, electromobile intelligent charge accounting, the value of distributed power generation accounting index and the evaluation index weight of correspondence thereof, obtains energy interactions index by weighted mean; According to department information, shared, the value of cross business accounting index and the evaluation index weight of correspondence thereof, obtain business interaction index by weighted mean; According to distribution terminal information acquisition rate, intelligent electric meter fraction of coverage, the value of two-way communication system ovelay range index and the evaluation index weight of correspondence thereof, obtain information interaction index by weighted mean; Then energy interactions, business interaction, information interaction index are carried out again the interactive index that weighted mean obtains intelligent power distribution net, and the interactive achievement data obtained is sent to efficiency evaluation module;
5) data that efficiency evaluation module is sent according to reliability assessment module, economic evaluation module, spatter property evaluation module and interactive evaluation module, are added and export the efficiency evaluation desired value of intelligent power distribution net.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310393983.5A CN103473608B (en) | 2013-09-02 | 2013-09-02 | Intelligent power distribution network efficiency evaluation index treatment process |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310393983.5A CN103473608B (en) | 2013-09-02 | 2013-09-02 | Intelligent power distribution network efficiency evaluation index treatment process |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103473608A CN103473608A (en) | 2013-12-25 |
CN103473608B true CN103473608B (en) | 2016-06-08 |
Family
ID=49798451
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310393983.5A Active CN103473608B (en) | 2013-09-02 | 2013-09-02 | Intelligent power distribution network efficiency evaluation index treatment process |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103473608B (en) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103872680B (en) * | 2014-03-24 | 2016-01-20 | 国家电网公司 | A kind of method assessing flexible load interaction capability |
CN104410978A (en) * | 2014-11-14 | 2015-03-11 | 中国联合网络通信集团有限公司 | Method and device of evaluating site planning |
CN104616206A (en) * | 2015-01-14 | 2015-05-13 | 中国能源建设集团江苏省电力设计院有限公司 | Green performance index evaluation method of distribution station |
CN109034653B (en) * | 2018-08-16 | 2022-02-15 | 广东电网有限责任公司 | Comprehensive evaluation method for power supply planning scheme |
CN109523166B (en) * | 2018-11-19 | 2022-03-15 | 云南电网有限责任公司 | Active power distribution network planning scheme evaluation method and device |
CN111144707A (en) * | 2019-12-06 | 2020-05-12 | 河海大学 | Multi-energy system collaborative planning modeling method based on energy hub |
CN111428182B (en) * | 2020-02-24 | 2023-06-13 | 数字广东网络建设有限公司 | Evaluation index processing method, device, computer equipment and storage medium |
CN111144544B (en) * | 2020-04-07 | 2020-06-30 | 江苏省电力试验研究院有限公司 | Flexible power flow control equipment selection evaluation method and system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101179195A (en) * | 2007-11-15 | 2008-05-14 | 上海交通大学 | Power distribution network planning scheme assistant decision system |
CN101246569A (en) * | 2008-02-28 | 2008-08-20 | 江苏省电力试验研究院有限公司 | Electric network energy quality synthetic appraisement method based on analytic hierarchy process and fuzzy algorithm |
CN102354974A (en) * | 2011-10-13 | 2012-02-15 | 山东大学 | Micro-grid multi-objective optimized operation control method |
-
2013
- 2013-09-02 CN CN201310393983.5A patent/CN103473608B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101179195A (en) * | 2007-11-15 | 2008-05-14 | 上海交通大学 | Power distribution network planning scheme assistant decision system |
CN101246569A (en) * | 2008-02-28 | 2008-08-20 | 江苏省电力试验研究院有限公司 | Electric network energy quality synthetic appraisement method based on analytic hierarchy process and fuzzy algorithm |
CN102354974A (en) * | 2011-10-13 | 2012-02-15 | 山东大学 | Micro-grid multi-objective optimized operation control method |
Non-Patent Citations (1)
Title |
---|
智能电网安全经济与清洁运行机制;孙元章 等;《电力建设》;20090601;第30卷(第6期);第11-14页 * |
Also Published As
Publication number | Publication date |
---|---|
CN103473608A (en) | 2013-12-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103473608B (en) | Intelligent power distribution network efficiency evaluation index treatment process | |
Mbungu et al. | Overview of the optimal smart energy coordination for microgrid applications | |
CN103646286B (en) | A kind of data processing method that intelligent power distribution network efficiency is estimated | |
Chen et al. | Assessing the low-carbon effects of inter-regional energy delivery in China's electricity sector | |
CN105305435B (en) | A kind of region electric power subtracts carbon amounts computational methods | |
Jiang et al. | Study of future power interconnection scheme in ASEAN | |
CN203909581U (en) | Enterprise energy consumption monitoring system | |
CN103729697B (en) | A kind of power grid multilink interaction system improving intermittent new energy digestion capability | |
CN102567645B (en) | Method for counting equipment of power grid and computing transmission losses on basis of on-line theoretical transmission loss computation | |
CN106469420A (en) | Electric energy consumption evaluation methodology and evaluation system | |
Lee et al. | Distributed energy strategy using renewable energy transformation in Kinmen Island: Virtual power plants that take the military camps as the mainstay | |
do Amaral et al. | Smart meters as a tool for energy efficiency | |
CN105184502B (en) | A kind of energy-saving and emission-reduction machine unit scheduling method based on unit pollutant emission | |
Yan et al. | Energy internet in smart city review | |
CN103683512A (en) | Power system energy efficiency test management system and test method | |
CN103473450A (en) | Attribute interval identification method for intelligent power distribution network efficiency evaluation | |
CN108154285A (en) | Performance evaluation, device, storage medium and processor | |
CN103489043B (en) | The optimization method of a kind of wind-powered electricity generation installation and energy-storage battery capacity ratio | |
Guo et al. | Decoupling analysis of economic growth, energy consumption and CO2 emissions in the industrial sector of Guangdong Province | |
Jamal et al. | Development of smart grid in Bangladesh: Challenges and opportunities | |
Braga | Functioning of the power system with a view of the massive integration of renewable energy sources | |
CN202103486U (en) | Two-stage electric-network dispatch-network topology system | |
CN105373848A (en) | Priority ordering method of load-grid-supply interactive coordination control scheme based on rough set | |
Prajapati et al. | Smart grid-A vision for the future | |
Su et al. | Constructing a Water-Energy-Food Efficiency Coupling Model from the Perspective of Land Use |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |