CN104574223A - Method for analyzing and evaluating operating economy of power transmission network - Google Patents

Method for analyzing and evaluating operating economy of power transmission network Download PDF

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Publication number
CN104574223A
CN104574223A CN201510069410.6A CN201510069410A CN104574223A CN 104574223 A CN104574223 A CN 104574223A CN 201510069410 A CN201510069410 A CN 201510069410A CN 104574223 A CN104574223 A CN 104574223A
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data
network
analysis
damage
power transmission
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朱涛
李文云
蒋亚坤
朱晔
程旻
郭桂同
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YUNNAN ELECTRIC POWER DISPATCH CONTROL CENTER
Integrated Electronic Systems Lab Co Ltd
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YUNNAN ELECTRIC POWER DISPATCH CONTROL CENTER
Integrated Electronic Systems Lab Co Ltd
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Priority to CN201510069410.6A priority Critical patent/CN104574223A/en
Publication of CN104574223A publication Critical patent/CN104574223A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention belongs to the field of dispatching automation of electric power systems, and particularly relates to a method for analyzing and evaluating the operating economy of a power transmission network. The method disclosed by the invention comprises the following steps: establishing a data platform for the analysis and evaluation of the operating economy of the power transmission network so as to carry out identification and correction on basic data of the power transmission network; detecting the operating state of the power transmission network in real time, and analyzing the influence quantitative index of each factor on the loss of the entire network from various aspects; and establishing a system for evaluating the operating economy of the power transmission network so as to carry out diagnostic analysis on the current operating economy condition of the network, thereby helping operators to find weak links of the network and then make pointed references to the formulation of loss reduction strategies. According to the method disclosed by the invention, by studying factors which affect the loss of the power transmission network, the quantitative index of each factor affecting network losses is automatically calculated and given, and then the evaluation index of the operating economy of the power transmission network is established, so that the current operating state of the power transmission network can be visually evaluated, and under the assistance of the formulation of loss reduction strategies, the level of network loss management is improved to a large extent, thereby creating a new mode of network loss management and analysis.

Description

A kind of power transmission network analysis of running economical efficiency evaluation method
Technical field
The invention belongs to dispatching automation of electric power systems field, particularly relate to a kind of electric power transmission network analysis of running economical efficiency evaluation method.
Background technology
In recent years, the energy-saving and emission-reduction work of the Efforts To Develop whole society of country, and the Network Loss Rate index of electric system embodies the important technical economical index of of power grid enterprises operation situations, whether the operation directly reflecting electrical network is economical, and it is energy-conservation for reducing grid net loss.Network loss is along with the whole process of operation of power networks, by the transient effects of power system operating mode trend, the accumulative impact of powered net mode trend, by the impact of electric network composition, by the impact etc. of the arbitrary operating element of electrical network, so the index ruuning situation of network loss must be understood, grasp the network loss situation of electrical network separated time, subregion comprehensively, carry out the suggestion that certain economic analysis runs to propose economy, adopt certain technological means to improve the present situation of current network loss statistical study.Yunnan Power Grid Company's energy management system and Electric Energy Acquisition System operational excellence, broad covered area, precision are high, provide new thinking and basic data condition for solving current Network Loss Rate Classified statistics problem.But need economic analysis and the evaluation of carrying out electric power networks operation based on grid loss, abundant excavation available data, respectively real-time statistics is carried out to electrical network major network network loss, and combine the factors affecting grid net loss, realize the analysis of grid net loss rate, form expert system, propose to optimize suggestion for operation of power networks Network Loss Rate minimizes, carrying out for electrical network the technological transformation reducing Network Loss Rate provides expert advice.
Summary of the invention
For the problems referred to above, the invention provides a kind of power transmission network analysis of running economical efficiency evaluation method, by integrated isomerous system data, set up grid line loss analysis of running economical efficiency and evaluate Base data platform, on this basis multi-angular analysis is carried out to grid loss, set up evaluation index, for operation of power networks Economic Evaluation provides a kind of means reliably.
For achieving the above object, the concrete scheme of the present invention's employing is as follows: a kind of power transmission network analysis of running economical efficiency evaluation method, comprises the following steps:
Step one, set up power transmission network analysis of running economical efficiency data platform, comprise and obtain electrical network CIM, OCS system acquisition data, the basic descriptor of Electric Energy Acquisition System, generated energy acquisition amount, carry out data integration, build the integrated on-line analysis data platform of operation of power networks economic analysis;
Step 2, utilization state method of estimation, in conjunction with Data Comparison and equilibrium analysis, carry out the identification of electrical network basic data and correction;
Step 3, build and affect the evaluation index of each factor of grid loss, analyze electrical network meritorious, idle, grid equipment overhauls, Electric Power Network Planning different angles damage ability is fallen;
Step 4, fall damage ability in conjunction with each factor, set up the appraisement system of operation of power networks economy, the performance driving economy of current electric grid is evaluated.The weak link of operation of power networks can be found like this, the auxiliary adjustable strategies formulating economy operation of power grid.
The concrete steps of step one are as follows:
(1) set up the data-mapping relation of OCS system and Electric Energy Acquisition System, the generated energy acquisition point of transformer high, medium and low voltage side and circuit two ends difference correspondence is set;
(2) expand the image data redundance of grid equipment, each grid equipment possesses OCS system real-time data collection attribute and generated energy acquisition data attribute simultaneously.
In this step, the various data from heterogeneous system are integrated, set up economic power system and analyze data platform, in conjunction with coulomb collection system data, electrical network OCS system acquisition data are expanded, greatly improve data redudancy, reduce data identification difficulty, improve basic data quality.Analyze on data platform basis at this, electrical network theoretical loss can be supported to calculate and electrical network active loss statistics, and carry out various contrast easily and fall damage analytical calculation.
In step 2, following steps are followed in data identification and correction:
(1) suspect device location: first carry out the OCS system acquisition data of equipment and the comparative analysis of generated energy acquisition amount, orientate the data point differed greatly as suspect device, then balance analysis is done respectively to the OCS system acquisition data of suspect device and generated energy acquisition amount, calculating transformer three side data balance and circuit both sides data balancing, also orientate equipment bad for balance as suspect device;
(2) suspicious data identification: the model provided according to OCS system and data, calculates through state estimation, the rough detection function that utilization state is estimated, judges the quality of data of suspect device, and then the confidence level of Identification Data; Calculate this side of branch road and offside trend by state estimation, above-mentioned data and OCS system data and generated energy acquisition amount are compared, judge the quality of data in different pieces of information source; If the OCS system acquisition data balancing of certain equipment is better, closer to Data of State Estimation, then judge that OCS system data quality is better, otherwise, judge that the Electric Energy Acquisition System quality of data is higher;
(3) suspicious data correction: the collection capacity that the data using data quality of suspect device is higher, again carry out state estimation calculating on this basis, obtain this side of each branch road and offside trend, busbar voltage and phase calculation amount, generate the final ripe data section of electrical network.
In this step, with method for estimating state in conjunction with Data Comparison and equilibrium analysis, carry out the identification of electrical network basic data and correction, improve basic data cross section quality, ensure computational convergence and computational accuracy.Wherein, branch road mentioned above comprises circuit and transformer.
Step 3 falls damage ability from electric network reactive-load, meritorious, grid equipment maintenance and each angle analysis electrical network of Electric Power Network Planning, and for hereinafter Economic Evaluation provides basic data, concrete steps are as follows:
(1) idle damage capability analysis falls: based on the ripe data section of electrical network carry out generator reactive, the adjustment of shunt compensation equipment idle fall to damage analyze;
As Δ P qiduring >0, S qi=E dQi* (Δ P qi/ Δ Q gi);
As Δ P qiduring <0, S qi=E uQi* (Δ P qi/ Δ Q gi);
Wherein Δ Q gifor adjusting the idle adjustment amount of means i, Δ P qifor the grid loss variable quantity that adjustment means i causes under reactive disturbance, E dQifor adjusting the idle downward scope of means i, E uQifor adjusting the idle rise scope of means i, S qiwhen being defined as adjustment means i, damage ability falls in generator and current idle of shunt compensation equipment;
Generator under adjustment means each in electrical network and shunt compensation equipment idle is fallen damage ability add up obtain electric network reactive-load damage ability is fallen:
S Q = &Sigma; i = 1 N S Qi ;
(2) meritorious damage capability analysis falling: carries out generated power based on the ripe data section of electrical network and to exert oneself the effective power flow sensitivity analysis of adjustment;
As Δ P piduring >0, S pi=E dPi* (Δ P pi/ Δ P gi);
As Δ P piduring <0, S pi=E uPi* (Δ P pi/ Δ P gi);
Wherein Δ P gifor adjusting the active power adjustment amount of means i, Δ P pifor the grid loss variable quantity that adjustment means i causes under meritorious disturbance, E dPifor adjusting the downward scope of means i, E uPifor adjusting the rise scope of means i, S piwhen being defined as adjustment means i, damage ability falls in current meritorious of generator;
Generator under adjustment means each in electrical network meritorious is fallen damage ability add up obtain electric network active damage ability is fallen:
S P = &Sigma; i = 1 N S Pi ;
(3) damage capability analysis falls in grid equipment maintenance: by manually setting anticipation mode, grid equipment maintenance is set, inspecting state is arranged to a kth equipment, carries out anticipation Load flow calculation, the change of grid loss can be obtained, thus obtain this overhaul of the equipments damage ability is fallen;
S Jk=ΔP Jk
Wherein Δ P jkfor equipment k overhauls difference that is rear and the front grid loss of maintenance;
The maintenance of all devices in electrical network is fallen damage ability is cumulative to be obtained grid equipment maintenance and fall damage ability, characterize falling under each overhaul of the equipments method of operation and damage accumulative effect;
S J = &Sigma; k = 1 N S Jk
(4) damage capability analysis falls in Electric Power Network Planning: gone into operation by the new plant stand of Manual definition, new equipment, setting anticipation mode, go into operation for new equipment, carry out anticipation Load flow calculation, each anticipation mode all can obtain the change of grid loss, thus obtain Electric Power Network Planning anticipation mode j damage ability is fallen;
S Gj=ΔP Gj
Wherein Δ P gjfor anticipation mode j arranges the rear difference with arranging front grid loss;
The maintenance of all Electric Power Network Planning anticipation mode in electrical network is fallen damage ability add up obtain Electric Power Network Planning damage ability is fallen:
S G = &Sigma; j = 1 N S Gj .
Step 4 damages from falling the appraisement system that angle sets up operation of power networks economy, evaluates, find the weak link of operation of power networks to the performance driving economy of current electric grid, the auxiliary adjustable strategies formulating economy operation of power grid.
Definition electrical network falls and damages space index S:
S=100*(f P*S P+f Q*S Q+f J*S J+f G*S G)/ΔP
Wherein: f p, f q, f j, f gbe respectively the analytical weight of electric network active, the maintenance of idle, grid equipment, Electric Power Network Planning, can according to the degree of concern of user, arrange different weights, weight is 1 to the maximum, and minimum is 0; S p, S q, S j, S gbe respectively electric network active, the maintenance of idle, grid equipment, Electric Power Network Planning damage ability is fallen; It is that the ratio falling damage ability and current electric grid loss takes advantage of 100 that damage definition space falls in electrical network; S value is less, and show to fall damage space less, operation of power networks is more economical, when S value is less than 1, is defined as operation of power networks less expensive; Then the standards of grading of operation of power networks economy can be defined as: 100-S, full marks are 100 points, and score value is higher, represent operation of power networks more economical.
The present invention sets up the data platform that power transmission network analysis of running economical efficiency is evaluated, and carries out identification and correction to electrical network basic data; Real-time detection of grid running status, affects quantizating index from each factor of multi-angular analysis to the whole network loss; Set up operation of power networks Economic Evaluation system, carry out diagnostic analysis to the current performance driving economy situation of electrical network, auxiliary operations staff finds electrical network weak link, formulates targetedly to fall and damages strategy.
The inventive method affects the factor of power transmission network loss by research, automatic calculating provides the quantizating index of each factor affecting network loss, set up operation of power networks Economic feasibility target, can assess electrical network current operating conditions intuitively, auxiliary formulation reducing loss measure simultaneously, from the level greatly enhancing network loss management, a kind of grid loss management and the new model analyzed are started.
Embodiment
A kind of power transmission network analysis of running economical efficiency evaluation method, concrete implementation step is as follows:
1, the collection of OCS system (operation monitoring system OperationControl System) and TMR system (Electric Energy Acquisition System) data and integrated: system follows Southern Power Grid Company data-interface specification, set up and OCS system and TMR system interface by WebService mode and bus system, the mapping relations of setting OCS system grid equipment and TMR system charge collection point, expansion grid equipment metric data content, the basic data integrating two systems sets up power transmission network analysis of running economical efficiency data platform.
2, on operation of power networks economic analysis data platform, utilization state method of estimation, in conjunction with Data Comparison and equilibrium analysis, carries out the identification of electrical network basic data and correction.
First suspect device is located, by the comparative analysis of the OCS system acquisition data and generated energy acquisition data of carrying out equipment, orientate the data point corresponding device differed greatly as suspect device, then balance analysis is done respectively to the OCS system acquisition data of suspect device and generated energy acquisition data, calculating transformer three side data balance and circuit both sides data balancing, also orientate equipment bad for balance as suspect device.
The model utilizing OCS system to provide and data, calculate through state estimation, the rough detection function that utilization state is estimated, judges the quality of data of suspect device, and then the confidence level of Identification Data.Data of State Estimation and OCS system data and generated energy acquisition data are compared, judges the quality of data in different pieces of information source.If the OCS system acquisition data balancing of certain equipment is better, closer to Data of State Estimation, then judge that OCS system data quality is better, otherwise, judge that the Electric Energy Acquisition System quality of data is higher.
On above analysis foundation, the collection capacity that the data using data quality of suspect device is higher, again carry out state estimation calculating on this basis, obtain each branch road (comprising circuit and transformer) this side and offside trend, busbar voltage and phase calculation amount, generate the final ripe data section of electrical network.
3, electrical network falls and damages capacity index calculating
Electrical network falls the calculating of damage ability mainly based on sensitivity analysis algorithm and tidal current computing method.Carry out electric network active and idle fall damage capability analysis time have employed Sensitivity Analysis Method, have employed tidal current computing method when carrying out Electric Power Network Planning and grid equipment examining and analyzing.
(1) idle damage capability analysis falls: based on the ripe data section of electrical network carry out generator reactive, the adjustment of shunt compensation equipment idle fall to damage analyze;
As Δ P qiduring >0, S qi=E dQi* (Δ P qi/ Δ Q gi);
As Δ P giduring <0, S qi=E uQi* (Δ P qi/ Δ Q gi);
Wherein Δ Q gifor adjusting the idle adjustment amount of means i, Δ P qifor the grid loss variable quantity that adjustment means i causes under reactive disturbance, E dQifor adjusting the idle downward scope of means i, E uQifor adjusting the idle rise scope of means i, S qiwhen being defined as adjustment means i, damage ability falls in generator and current idle of shunt compensation equipment;
Generator under adjustment means each in electrical network and shunt compensation equipment idle is fallen damage ability add up obtain electric network reactive-load damage ability is fallen:
S Q = &Sigma; i = 1 N S Qi ;
(2) meritorious damage capability analysis falling: carries out generated power based on the ripe data section of electrical network and to exert oneself the effective power flow sensitivity analysis of adjustment;
As Δ P piduring >0, S pi=E dPi* (Δ P pi/ Δ P gi);
As Δ P piduring <0, S pi=E uPi* (Δ P pi/ Δ P gi);
Wherein Δ P gifor adjusting the active power adjustment amount of means i, Δ P pifor the grid loss variable quantity that adjustment means i causes under meritorious disturbance, E dPifor adjusting the downward scope of means i, E uPifor adjusting the rise scope of means i, S piwhen being defined as adjustment means i, damage ability falls in current meritorious of generator;
Generator under adjustment means each in electrical network meritorious is fallen damage ability add up obtain electric network active damage ability is fallen:
S P = &Sigma; i = 1 N S Pi ;
(3) damage capability analysis falls in grid equipment maintenance: by manually setting anticipation mode, grid equipment maintenance is set, inspecting state is arranged to a kth equipment, carries out anticipation Load flow calculation, the change of grid loss can be obtained, thus obtain this overhaul of the equipments damage ability is fallen;
S Jk=ΔP Jk
Wherein Δ P jkfor equipment k overhauls difference that is rear and the front grid loss of maintenance;
The maintenance of all devices in electrical network is fallen damage ability is cumulative to be obtained grid equipment maintenance and fall damage ability, characterize falling under each overhaul of the equipments method of operation and damage accumulative effect;
S J = &Sigma; k = 1 N S Jk
(4) damage capability analysis falls in Electric Power Network Planning: gone into operation by the new plant stand of Manual definition, new equipment, setting anticipation mode, go into operation for new equipment, carry out anticipation Load flow calculation, each anticipation mode all can obtain the change of grid loss, thus obtain Electric Power Network Planning anticipation mode j damage ability is fallen;
S Gj=ΔP Gj
Wherein Δ P gjfor anticipation mode j arranges the rear difference with arranging front grid loss;
The maintenance of all Electric Power Network Planning anticipation mode in electrical network is fallen damage ability add up obtain Electric Power Network Planning damage ability is fallen:
S G = &Sigma; j = 1 N S Gj .
4, operation of power networks Economic Evaluation
Considering scoring custom, adopting that fractional value is high represents operation of power networks good economy performance, fractional value is low, and to represent operation of power networks less economical.Therefore in implementation process, electrical network fall damage space less time the scoring that provides higher.
Consider simultaneously user to each factor degree of concern different, be provided with different weights, just can adjust weight as required in the specific implementation, choose key factor analysis.This mode can be expanded simultaneously, adds new analytical element.
Concrete operations are: definition electrical network falls and damages space index S:
S=100*(f P*S P+f Q*S Q+f J*S J+f G*S G)/ΔP
Wherein: f p, f q, f j, f gbe respectively the analytical weight of electric network active, idle, grid maintenance, Electric Power Network Planning, can according to the degree of concern of user, arrange different weights, weight is 1 to the maximum, and minimum is 0; S p, S q, S j, S gbe respectively electric network active, idle, grid maintenance, Electric Power Network Planning damage ability is fallen; Electrical network falls that to damage space S value less, shows to fall that to damage space less, and operation of power networks is more economical, when S value is less than 1, is defined as operation of power networks less expensive; Then the standards of grading of operation of power networks economy can be defined as: 100-S, full marks are 100 points, and score value is higher, represent operation of power networks more economical.

Claims (5)

1. a power transmission network analysis of running economical efficiency evaluation method, is characterized in that comprising the following steps:
Step one, set up power transmission network analysis of running economical efficiency data platform, comprise and obtain electrical network CIM, OCS system acquisition data, the basic descriptor of Electric Energy Acquisition System, generated energy acquisition amount, carry out data integration, build the integrated on-line analysis data platform of operation of power networks economic analysis;
Step 2, utilization state method of estimation, in conjunction with Data Comparison and equilibrium analysis, carry out the identification of electrical network basic data and correction;
Step 3, build and affect the evaluation index of each factor of grid loss, analyze electrical network meritorious, idle, grid equipment overhauls, Electric Power Network Planning different angles damage ability is fallen;
Step 4, fall damage ability in conjunction with each factor, set up the appraisement system of operation of power networks economy, the performance driving economy of current electric grid is evaluated.
2. power transmission network analysis of running economical efficiency evaluation method according to claim 1, is characterized in that: the concrete steps of step one are as follows:
(1) set up the data-mapping relation of OCS system and Electric Energy Acquisition System, the generated energy acquisition point of transformer high, medium and low voltage side and circuit two ends difference correspondence is set;
(2) expand the image data redundance of grid equipment, each grid equipment possesses OCS system real-time data collection attribute and generated energy acquisition data attribute simultaneously.
3. power transmission network analysis of running economical efficiency evaluation method according to claim 1 and 2, is characterized in that: in step 2, following steps are followed in data identification and correction:
(1) suspect device location: first carry out the OCS system acquisition data of equipment and the comparative analysis of generated energy acquisition amount, orientate the data point differed greatly as suspect device, then balance analysis is done respectively to the OCS system acquisition data of suspect device and generated energy acquisition amount, calculating transformer three side data balance and circuit both sides data balancing, also orientate equipment bad for balance as suspect device;
(2) suspicious data identification: the model provided according to OCS system and data, calculates through state estimation, the rough detection function that utilization state is estimated, judges the quality of data of suspect device, and then the confidence level of Identification Data; Calculate this side of branch road and offside trend by state estimation, above-mentioned data and OCS system data and generated energy acquisition amount are compared, judge the quality of data in different pieces of information source; If the OCS system acquisition data balancing of certain equipment is better, closer to Data of State Estimation, then judge that OCS system data quality is better, otherwise, judge that the Electric Energy Acquisition System quality of data is higher;
(3) suspicious data correction: the collection capacity that the data using data quality of suspect device is higher, again carry out state estimation calculating on this basis, obtain this side of each branch road and offside trend, busbar voltage and phase calculation amount, generate the final ripe data section of electrical network.
4. power transmission network analysis of running economical efficiency evaluation method according to claim 3, is characterized in that: the concrete steps of step 3 are as follows:
(1) idle damage capability analysis falls: based on the ripe data section of electrical network carry out generator reactive, the adjustment of shunt compensation equipment idle fall to damage analyze;
As Δ P qi > 0time, S qi=E dQi* (Δ P qi/ Δ Q gi);
As Δ P qi < 0time, S qi=E uQi* (Δ P qi/ Δ Q gi);
Wherein Δ Q gifor adjusting the idle adjustment amount of means i, Δ P qifor the grid loss variable quantity that adjustment means i causes under reactive disturbance, E dQifor adjusting the idle downward scope of means i, E uQifor adjusting the idle rise scope of means i, S qiwhen being defined as adjustment means i, damage ability falls in generator and current idle of shunt compensation equipment;
Generator under adjustment means each in electrical network and shunt compensation equipment idle is fallen damage ability add up obtain electric network reactive-load damage ability is fallen:
S Q = &Sigma; i = 1 N S Qi ;
(2) meritorious damage capability analysis falling: carries out generated power based on the ripe data section of electrical network and to exert oneself the effective power flow sensitivity analysis of adjustment;
As Δ P pi > 0time, S pi=E dPi* (Δ P pi/ Δ P gi);
As Δ P pi < 0time, S pi=E uPi* (Δ P pi/ Δ P gi);
Wherein Δ P gifor adjusting the active power adjustment amount of means i, Δ P pifor the grid loss variable quantity that adjustment means i causes under meritorious disturbance, E dPifor adjusting the downward scope of means i, E uPifor adjusting the rise scope of means i, S piwhen being defined as adjustment means i, damage ability falls in current meritorious of generator;
Generator under adjustment means each in electrical network meritorious is fallen damage ability add up obtain electric network active damage ability is fallen:
S P = &Sigma; i = 1 N S Pi ;
(3) damage capability analysis falls in grid equipment maintenance: by manually setting anticipation mode, grid equipment maintenance is set, inspecting state is arranged to a kth equipment, carries out anticipation Load flow calculation, the change of grid loss can be obtained, thus obtain this overhaul of the equipments damage ability is fallen;
S Jk=ΔP Jk
Wherein Δ P jkfor equipment k overhauls difference that is rear and the front grid loss of maintenance;
The maintenance of all devices in electrical network is fallen damage ability is cumulative to be obtained grid equipment maintenance and fall damage ability, characterize falling under each overhaul of the equipments method of operation and damage accumulative effect;
S J = &Sigma; k = 1 N S Jk
(4) damage capability analysis falls in Electric Power Network Planning: gone into operation by the new plant stand of Manual definition, new equipment, setting anticipation mode, go into operation for new equipment, carry out anticipation Load flow calculation, each anticipation mode all can obtain the change of grid loss, thus obtain Electric Power Network Planning anticipation mode j damage ability is fallen;
S Gj=ΔP Gj
Wherein Δ P gjfor anticipation mode j arranges the rear difference with arranging front grid loss;
The maintenance of all Electric Power Network Planning anticipation mode in electrical network is fallen damage ability add up obtain Electric Power Network Planning damage ability is fallen:
S G = &Sigma; j = 1 N S Gj .
5. power transmission network analysis of running economical efficiency evaluation method according to claim 1, is characterized in that: define electrical network in step 4 and fall damage space index S:
S=100*(f P*S p+f Q*S Q+f J*S J+f G*S G)/ΔP
Wherein: f p, f q, f j, f gbe respectively the analytical weight of electric network active, the maintenance of idle, grid equipment, Electric Power Network Planning, can according to the degree of concern of user, arrange different weights, weight is 1 to the maximum, and minimum is 0; S p, S q, S j, S gbe respectively electric network active, the maintenance of idle, grid equipment, Electric Power Network Planning damage ability is fallen; It is that the ratio falling damage ability and current electric grid loss takes advantage of 100 that damage definition space falls in electrical network; S value is less, and show to fall damage space less, operation of power networks is more economical, when S value is less than 1, is defined as operation of power networks less expensive; Then the standards of grading of operation of power networks economy can be defined as: 100-S, full marks are 100 points, and score value is higher, represent operation of power networks more economical.
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王长永: "状态估计在能量管理系统中的应用", 《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》 *

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