CN105354761A - Safety and effectiveness evaluation method and system for accessing wind-power into power grid - Google Patents

Safety and effectiveness evaluation method and system for accessing wind-power into power grid Download PDF

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CN105354761A
CN105354761A CN201510734481.3A CN201510734481A CN105354761A CN 105354761 A CN105354761 A CN 105354761A CN 201510734481 A CN201510734481 A CN 201510734481A CN 105354761 A CN105354761 A CN 105354761A
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wind
index
electrical network
safety
electricity generation
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CN105354761B (en
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王洪涛
公昊
王春义
李广磊
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Shandong University
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Shandong University
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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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • H02J3/386
    • 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects
    • 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 present invention discloses a safety and effectiveness evaluation method and system for accessing wind-power into a power grid. The method comprises: after accessing wind-power into a power grid, collecting basic operation data of the power grid, and storing the data into a database; according to the collected basic operation data of the power grid, calculating a safety index, wherein the safety index comprises a power grid voltage safety index, a power grid frequency safety index, a power grid angle instability index, and a high risk event consequence index; according to the collected basic operation data of the power grid, calculating a effectiveness index, wherein the effectiveness index comprises a discarding wind volume ratio index, emission reduction amount of wind power generation, substitution amount of wind power generation, and an overall effectiveness index; and according to the overall safety index and overall effectiveness index value, calculating overall evaluation index values of safety and effectiveness of accessing wind-power into a power grid. The synthesis of safety and effectiveness indexes of accessing wind-power into a power grid can obtain an overall evaluation index system covering social benefits, environmental benefits, and safety benefits of accessing wind-power into a power grid, and has high practical value.

Description

A kind of safety of wind power integration electrical network and efficiency estimation method and system
Technical field
The present invention relates to a kind of safety of wind power integration electrical network and efficiency estimation method and system.
Background technology
Wind-powered electricity generation has the feature of randomness, undulatory property and non-scheduling, the injection of high permeability wind power changes the trend distribution of system, and the Steady state and transient state characteristic different from conventional synchronization genset that Wind turbines has also will the voltage stabilization of influential system and frequency stabilization etc.High concentration degree wind power integration electrical network is subject to the constraint of many safety and stability, as electric network swim constraint, Static Security Constraints, Voltage Stability Constraints, capacity of short circuit constraint etc.Therefore, for guaranteeing that electrical network can safe and stable operation, when carrying out wind energy turbine set planning, while making full use of local wind energy resources, need to take into full account whether the service condition of access electrical network meets safety and stability and retrain.
China points out from " People's Republic of China's Renewable Energy Law " that 2006 implement: country encourages and support that regenerative resource is generated electricity by way of merging two or more grid systems, and carries out renewable energy power generation protection purchase in full system.In addition, in March, 2015, combined by National Development and Reform Committee, National Energy Board in " the regulating the multiple full instruction sent out of promotion clean energy resource about improving operation power " of issue and propose, each province should take measures to implement renewable energy power generation protection purchase in full system, under the prerequisite ensureing electricity net safety stable, fully arrange renewable energy power generation.Under above-mentioned national policy guides, provincial power network adopts the scheduling method receiving wind-powered electricity generation in full usually, the reduction thermal power unit operation point taked for fully receiving wind-powered electricity generation even changes the methods such as Unit Commitment state, unit is made to depart from the even frequent start-stop of Economic moving region, greatly increase the operating cost of unit, be unfavorable for energy-saving and emission-reduction, the reasonable assessment be worth about grid connected wind power becomes research key.
The feature of wind-powered electricity generation non-scheduling, energy-saving and emission-reduction, wind-powered electricity generation are fully received and wind electricity generating utilize between the links that utilizes at Wind Power Generation of contradiction between be difficult to coordination, for ensureing that power system safety and stability abandons situation that wind rations the power supply by long-term existence, therefore, the evaluation work for wind power integration is more and more important.
The technical matters that a kind of safety of wind power integration electrical network and measures of effectiveness exist is:
1, data acquisition is comprehensive not, only carries out the assessment of safety or efficiency for single several variablees, result will be caused accurate not;
2, evaluating system cannot meet the requirement of real-time, and existing evaluating system is analyzed the historical data of collection, instead of assess for real-time data.
Summary of the invention
For solving the deficiency that prior art exists, the invention discloses a kind of safety of wind power integration electrical network and efficiency estimation method and system, the present invention sets up rational data handling system and index, the security situation of the electrical network brought after more rationally effectively can analyzing wind power integration.
For achieving the above object, concrete scheme of the present invention is as follows:
The safety of wind power integration electrical network and an efficiency estimation method, comprise the following steps:
Step one: the basic service data of electrical network EMS system and wind-powered electricity generation EMS system Real-time Collection electrical network after wind power integration, and transfer to data processing centre (DPC) by real time service, interface adaptation and network communication bus;
Step 2: electric network model, wind-powered electricity generation historical data and service management information are stored in historical data access layer, historical data access layer communicates with industry service layer, frequency stabilization analysis, Load flow calculation, transient stability analysis and Voltage Stability Analysis is carried out according to the data of historical data access layer in industry service layer, and the result of data processing in the service layer of field is transferred to data processing centre (DPC) by network communication bus
Step 3: the heart carries out safety and the energy efficiency evaluation of wind power integration electrical network according to the data that Real-time Data Service layer and industry service layer transmit in data handling, comprise: computationally secure index, safety index comprises line voltage safety index, mains frequency safety index, electrical network merit angle instability index and excessive risk event consequence index;
Calculate efficiency index, efficiency index comprises abandons air quantity accounting index, wind-powered electricity generation generating CER, the alternative amount of wind-powered electricity generation generating and comprehensive effectiveness index;
Step 4: calculate comprehensive safety index according to safety index, calculates comprehensive effectiveness desired value according to efficiency index, calculates wind power integration power grid security and effectiveness synthesis evaluation index value according to comprehensive safety index and comprehensive effectiveness desired value.
Further, the computing formula of line voltage safety index VI is:
V I = Σ m = 1 M Σ j = 1 N P m , j V C m , j V - - - ( 1 )
In formula, j – causes the sequence number of line voltage unstability event; M-power system operating mode; under the m kind method of operation, the probability that jth class line voltage unstability event occurs; under the m kind method of operation, the cutting load amount caused in jth class line voltage unstability event, and parameter can be obtained by Network Voltage Stability analytical calculation.
Further, the computing formula of mains frequency safety index FI is:
F I = Σ m = 1 M Σ j = 1 N P m , j F C m , j F - - - ( 2 )
In formula, j – causes the sequence number of mains frequency unstability event; M-power system operating mode; under the m kind method of operation, the probability that jth class mains frequency unstability event occurs; under the m kind method of operation, the cutting load amount caused in jth class mains frequency unstability event, and parameter can be calculated by mains frequency stability analysis.
Further, the computing formula of electrical network merit angle instability index AI is:
A I = Σ m = 1 M Σ j = 1 N P m , j A C m , j A - - - ( 3 )
In formula, j – causes the sequence number of electrical network merit angle unstability event; M-power system operating mode; under the m kind method of operation, the probability that jth class electrical network merit angle unstability event occurs; under the m kind method of operation, the cutting load amount caused in the unstability event of jth class electrical network merit angle, and parameter can be obtained by Power Network Transient Stability analytical calculation.
Further, the computing formula of excessive risk event consequence index HRI is:
H R I = Σ m = 1 M Σ j = 1 N P m , j H R C m , j H R - - - ( 4 )
In formula, j – causes the sequence number of electrical network excessive risk event; M-power system operating mode; under the m kind method of operation, the probability that jth class electrical network excessive risk event occurs; under the m kind method of operation, the cutting load amount caused in jth class electrical network excessive risk event, and parameter can be calculated by electric network swim.
Further, the computing formula of abandoning air quantity accounting index CutI is:
CutI=C wind/W wind(6)
In formula, C wind-always abandon wind-powered electricity generation amount; W windwind-powered electricity generation gross generation.C windand W windparameter belongs to the basic service data of electrical network EMS system and wind-powered electricity generation EMS system acquisition electrical network after wind power integration.
Further, the computing formula of wind-powered electricity generation generating CER CarbonI is:
CarbonI=W wind(1-CutI)V emission(7)
In formula, V emissionthe carbon emission reduction income of-wind-powered electricity generation unit generating.V emissionparameter belongs to preset parameter, is obtained by statistics.
Further, wind-powered electricity generation generating substitutes amount W subcomputing formula be:
W sub=W wind(1-CutI)
Wherein, W windfor wind-powered electricity generation gross generation, CutI is for abandoning air quantity accounting index.
Further, wind-powered electricity generation usefulness E wcomputing formula be:
E w=(E total-E wind)/W sub(9)
In formula, E totalfor wind-powered electricity generation do not access electrical network time, the total amount of system consumption fossil energy; E windduring-wind power integration electrical network, the total amount of system consumption fossil energy.
A kind of safety of wind power integration electrical network and Effectiveness Evaluation System, comprise historical data access layer, industry service layer, historical data access layer and industry service layer carry out information communication, industry service layer and Real-time Data Service layer all communicate with network communication bus, network communication bus also with safety and the measures of effectiveness module communication of wind power integration electrical network;
The safety of wind power integration electrical network and measures of effectiveness module, basic service data according to the electrical network of electrical network EMS system, wind-powered electricity generation EMS system transfers calculates efficiency index, and efficiency index comprises abandons air quantity accounting index, wind-powered electricity generation generating CER, the alternative amount of wind-powered electricity generation generating and comprehensive effectiveness index;
According to the basic service data of the electrical network of electrical network EMS system, wind-powered electricity generation EMS system transfers and the historical data analysis result computationally secure index of industry service layer transmission, safety index comprises line voltage safety index, mains frequency safety index, electrical network merit angle instability index and excessive risk event consequence index;
Calculate comprehensive safety index according to safety index, calculate comprehensive effectiveness desired value according to efficiency index, comprehensive safety index and comprehensive effectiveness desired value calculate wind power integration power grid security and effectiveness synthesis evaluation index value.
Wherein, historical data access layer comprises electric network model storehouse, wind-powered electricity generation history library and service management storehouse, and electric network model storehouse, wind-powered electricity generation history library and service management storehouse store electric network model, wind-powered electricity generation historical data and service management data respectively;
Industry service layer comprises Voltage Stability Analysis module, transient stability analysis module, Load flow calculation module and frequency stabilization analysis module, wherein, transient stability analysis module is used for carrying out stability analysis according to time-domain-simulation method, Lyapunov direct theory, expansion equal-area method or artificial intelligence method to electric system; Voltage Stability Analysis module is for analyzing the stability of line voltage after wind power integration, Load flow calculation module is used for realizing, under given power system network topology, component parameters and generating, load parameter conditions, calculating the distribution in power network of active power, reactive power and voltage; Frequency stabilization analysis module is used for carrying out stability analysis to the frequency in electrical network.
Real-time Data Service layer comprises electrical network EMS system, wind-powered electricity generation EMS system, electrical network EMS system, wind-powered electricity generation EMS system are respectively by real time service and interface adapted communication, electrical network EMS system, wind-powered electricity generation EMS system by gather real-time Data Transmission to real time service, data are transferred to interface adaptation by real time service further, and data are transferred to network communication bus by interface adaptation further.
Beneficial effect of the present invention:
The computing method of the index system that wind power integration safety provided by the present invention and effectiveness synthesis are evaluated, according to the feature of different evaluation index, first layering, grouping are carried out to each index of correlation, safety index and efficiency index are evaluated simultaneously, finally the safety of wind power integration and efficiency index are carried out comprehensively, obtain containing the System of Comprehensive Evaluation of the social benefit of wind power integration, environmental benefit, safety benefit.Basic data needed for the evaluation method of this index system gathers the basic service data of electrical network, conventional electric network swim calculation procedure, Power Network Transient Stability calculation procedure, mains frequency stability Calculation program and Network Voltage Stability calculation procedure after deriving from wind power integration respectively, computing method are succinct, result of calculation has very high practical value simultaneously fast, guiding plan or operations staff can receive to the wind-powered electricity generation of system that ability is carried out fast, online evaluation.
Accompanying drawing explanation
The process flow diagram of the method for building up of Fig. 1 wind power integration power grid security and effectiveness synthesis assessment indicator system;
The schematic diagram of Fig. 2 wind power integration power grid security and effectiveness synthesis assessment indicator system;
The safety of Fig. 3 wind power integration electrical network and effectiveness synthesis evaluating system Organization Chart.
Embodiment:
Below in conjunction with accompanying drawing, the present invention is described in detail:
Refer to Fig. 1 to Fig. 2, the method for building up of the index system of power transmission network security risk comprehensive evaluation provided by the invention mainly comprises the steps:
Step 1: set up index system hierarchical structure, comprises destination layer, classification layer and indicator layer successively;
In step 1, according to the method setting up Safety Index System Assessment, consider the safety of wind power integration electrical network, the target of usefulness has level significantly, set up analysis level structure, thus obtain wind power integration power grid security and effectiveness synthesis appraisement system.
Step 2: classify to each index system hierarchical structure, is divided into safety index and efficiency index two class by destination layer index;
Step 3: classify to safety index, sets up the evaluation index of described safety index, comprising: line voltage safety index, mains frequency safety index, electrical network merit angle instability index, excessive risk event consequence index in indicator layer;
Step 4: classify to efficiency index, sets up the evaluation index of described efficiency index, comprising: abandon air quantity accounting index, wind-powered electricity generation generating CER index, wind-powered electricity generation generating alternative figureofmerit, wind-powered electricity generation efficiency index in indicator layer;
Step 5: each index relevant to safety index in parameter layer, comprehensively obtains the comprehensive safety desired value of wind power integration electrical network.
In steps of 5, the computing formula of line voltage safety index VI is:
V I = Σ m = 1 M Σ j = 1 N P m , j V C m , j V - - - ( 1 )
In formula, j – causes the sequence number of line voltage unstability event; M-power system operating mode;
under the m kind method of operation, the probability that jth class line voltage unstability event occurs;
under the m kind method of operation, the cutting load amount caused in jth class line voltage unstability event.
In steps of 5, the computing formula of mains frequency safety index FI is:
F I = Σ m = 1 M Σ j = 1 N P m , j F C m , j F - - - ( 2 )
In formula, j – causes the sequence number of mains frequency unstability event; M-power system operating mode;
under the m kind method of operation, the probability that jth class mains frequency unstability event occurs;
under the m kind method of operation, the cutting load amount caused in jth class mains frequency unstability event.
In steps of 5, the computing formula of electrical network merit angle instability index AI is:
A I = Σ m = 1 M Σ j = 1 N P m , j A C m , j A - - - ( 3 )
In formula, j – causes the sequence number of electrical network merit angle unstability event; M-power system operating mode;
under the m kind method of operation, the probability that jth class electrical network merit angle unstability event occurs;
under the m kind method of operation, the cutting load amount caused in the unstability event of jth class electrical network merit angle.
In steps of 5, the computing formula of excessive risk event consequence index HRI is:
H R I = Σ m = 1 M Σ j = 1 N P m , j H R C m , j H R - - - ( 4 )
In formula, j – causes the sequence number of electrical network excessive risk event; M-power system operating mode;
under the m kind method of operation, the probability that jth class electrical network excessive risk event occurs;
under the m kind method of operation, the cutting load amount caused in jth class electrical network excessive risk event.
In steps of 5, the computing formula of comprehensive safety index S I is:
SI=ω VVI+ω FFI+ω AAI+ω HRHRI(5)
In formula, ω v, ω f, ω a, ω hRbe respectively the weight coefficient of line voltage safety index VI, mains frequency safety index FI, electrical network merit angle instability index AI, excessive risk event consequence index HRI.
Step 6: each index relevant to efficiency index in parameter layer, comprehensively obtains the comprehensive effectiveness desired value of wind power integration electrical network.
In step 6, the computing formula of abandoning air quantity accounting index CutI is:
CutI=C wind/W wind(6)
In formula, C wind-always abandon wind-powered electricity generation amount; W wind-wind-powered electricity generation gross generation.
In step 6, the computing formula of wind-powered electricity generation generating CER CarbonI is:
CarbonI=W wind(1-CutI)V emission(7)
In formula, V emissionthe carbon emission reduction income of-wind-powered electricity generation unit generating.
In step 6, wind-powered electricity generation generating substitutes amount W subcomputing formula be:
W sub=W wind(1-CutI)(8)
In step 6, wind-powered electricity generation usefulness E wcomputing formula be:
E w=(E total-E wind)/W sub(9)
In formula, E totalwhen-wind-powered electricity generation does not access electrical network, the total amount of system consumption fossil energy;
E windduring-wind power integration electrical network, the total amount of system consumption fossil energy.
In step 6, the computing formula of comprehensive effectiveness index EI is:
EI=ω cCarbonI+ω EE w(10)
In formula, ω c, ω ebe respectively wind-powered electricity generation generating CER CarbonI, wind-powered electricity generation usefulness E wweight coefficient.
Step 7: according to comprehensive safety desired value and comprehensive effectiveness desired value, calculates wind power integration power grid security and effectiveness synthesis evaluation index value.
In step 7, the computing formula of wind power integration power grid security and effectiveness synthesis evaluation index value GI is:
GI=ω SISI+ω EIEI(11)
In formula, ω sI, ω eIbe respectively the weight coefficient of comprehensive safety index S I, comprehensive effectiveness index EI.
The computing method of the index system that wind power integration safety provided by the present invention and effectiveness synthesis are evaluated, according to the feature of different evaluation index, first layering, grouping are carried out to each index of correlation, safety index and efficiency index are evaluated simultaneously, finally the safety of wind power integration and efficiency index are carried out comprehensively, obtain containing the System of Comprehensive Evaluation of the social benefit of wind power integration, environmental benefit, safety benefit, there is very high practical value.
As shown in Figure 3, a kind of safety of wind power integration electrical network and Effectiveness Evaluation System, comprise historical data access layer, industry service layer, historical data access layer and industry service layer carry out information communication, industry service layer and Real-time Data Service layer all communicate with network communication bus, network communication bus also with safety and the measures of effectiveness module communication of wind power integration electrical network;
Wherein, historical data access layer comprises electric network model storehouse, wind-powered electricity generation history library and service management storehouse, and electric network model storehouse, wind-powered electricity generation history library and service management storehouse store electric network model, wind-powered electricity generation historical data and service management data respectively;
Industry service layer comprises Voltage Stability Analysis module, transient stability analysis module, Load flow calculation module and frequency stabilization analysis module, wherein, transient stability analysis module is used for carrying out stability analysis according to time-domain-simulation method, Lyapunov direct theory, expansion equal-area method or artificial intelligence method to electric system; Voltage Stability Analysis module is for analyzing the stability of line voltage after wind power integration, Load flow calculation module is used for realizing, under given power system network topology, component parameters and generating, load parameter conditions, calculating the distribution in power network of active power, reactive power and voltage.
Frequency stabilization analysis module is used for carrying out stability analysis to the frequency in electrical network.
Real-time Data Service layer comprises electrical network EMS system, wind-powered electricity generation EMS system, electrical network EMS system, wind-powered electricity generation EMS system are respectively by real time service and interface adapted communication, electrical network EMS system, wind-powered electricity generation EMS system by gather real-time Data Transmission to real time service, data are transferred to interface adaptation by real time service further, and data are transferred to network communication bus by interface adaptation further.
The safety of wind power integration electrical network and measures of effectiveness module, basic service data according to the electrical network of electrical network EMS system, wind-powered electricity generation EMS system transfers calculates efficiency index, and efficiency index comprises abandons air quantity accounting index, wind-powered electricity generation generating CER, the alternative amount of wind-powered electricity generation generating and comprehensive effectiveness index;
The basic service data computationally secure index of the electrical network of electrical network EMS system, wind-powered electricity generation EMS system transfers, safety index comprises line voltage safety index, mains frequency safety index, electrical network merit angle instability index and excessive risk event consequence index;
Calculate comprehensive safety index according to safety index, calculate comprehensive effectiveness desired value according to efficiency index, comprehensive safety index and comprehensive effectiveness desired value calculate wind power integration power grid security and effectiveness synthesis evaluation index value.
By reference to the accompanying drawings the specific embodiment of the present invention is described although above-mentioned; but not limiting the scope of the invention; one of ordinary skill in the art should be understood that; on the basis of technical scheme of the present invention, those skilled in the art do not need to pay various amendment or distortion that creative work can make still within protection scope of the present invention.

Claims (10)

1. the safety of wind power integration electrical network and an efficiency estimation method, is characterized in that, comprise the following steps:
Step one: the basic service data of electrical network EMS system and wind-powered electricity generation EMS system Real-time Collection electrical network after wind power integration, and transfer to data processing centre (DPC) by real time service, interface adaptation and network communication bus;
Step 2: electric network model, wind-powered electricity generation historical data and service management information are stored in historical data access layer, historical data access layer communicates with industry service layer, frequency stabilization analysis, Load flow calculation, transient stability analysis and Voltage Stability Analysis is carried out according to the data of historical data access layer in industry service layer, and the result of data processing in the service layer of field is transferred to data processing centre (DPC) by network communication bus
Step 3: the heart carries out safety and the energy efficiency evaluation of wind power integration electrical network according to the data that Real-time Data Service layer and industry service layer transmit in data handling, comprise: computationally secure index, safety index comprises line voltage safety index, mains frequency safety index, electrical network merit angle instability index and excessive risk event consequence index;
Calculate efficiency index, efficiency index comprises abandons air quantity accounting index, wind-powered electricity generation generating CER, the alternative amount of wind-powered electricity generation generating and comprehensive effectiveness index;
Step 4: calculate comprehensive safety index according to safety index, calculates comprehensive effectiveness desired value according to efficiency index, calculates wind power integration power grid security and effectiveness synthesis evaluation index value according to comprehensive safety index and comprehensive effectiveness desired value.
2. the safety of a kind of wind power integration electrical network as claimed in claim 1 and efficiency estimation method, it is characterized in that, the computing formula of line voltage safety index VI is:
V I = Σ m = 1 M Σ j = 1 N P m , j V C m , j V - - - ( 1 )
In formula, j – causes the sequence number of line voltage unstability event; M-power system operating mode; -under the m kind method of operation, the probability that jth class line voltage unstability event occurs; -under the m kind method of operation, the cutting load amount caused in jth class line voltage unstability event, and parameter can be obtained by Network Voltage Stability analytical calculation.
3. the safety of a kind of wind power integration electrical network as claimed in claim 1 and efficiency estimation method, it is characterized in that, the computing formula of mains frequency safety index FI is:
F I = Σ m = 1 M Σ j = 1 N P m , j F C m , j F - - - ( 2 )
In formula, j – causes the sequence number of mains frequency unstability event; M-power system operating mode; -under the m kind method of operation, the probability that jth class mains frequency unstability event occurs; -under the m kind method of operation, the cutting load amount caused in jth class mains frequency unstability event, and parameter can be calculated by mains frequency stability analysis.
4. the safety of a kind of wind power integration electrical network as claimed in claim 1 and efficiency estimation method, it is characterized in that, the computing formula of electrical network merit angle instability index AI is:
A I = Σ m = 1 M Σ j = 1 N P m , j A C m , j A - - - ( 3 )
In formula, j – causes the sequence number of electrical network merit angle unstability event; M-power system operating mode; -under the m kind method of operation, the probability that jth class electrical network merit angle unstability event occurs; -under the m kind method of operation, the cutting load amount caused in the unstability event of jth class electrical network merit angle, and parameter can be obtained by Power Network Transient Stability analytical calculation.
5. the safety of a kind of wind power integration electrical network as claimed in claim 1 and efficiency estimation method, it is characterized in that, the computing formula of excessive risk event consequence index HRI is:
H R I = Σ m = 1 M Σ j = 1 N P m , j H R C m , j H R - - - ( 4 )
In formula, j – causes the sequence number of electrical network excessive risk event; M-power system operating mode; -under the m kind method of operation, the probability that jth class electrical network excessive risk event occurs; -under the m kind method of operation, the cutting load amount caused in jth class electrical network excessive risk event, and parameter can be calculated by electric network swim.
6. the safety of a kind of wind power integration electrical network as claimed in claim 1 and efficiency estimation method, it is characterized in that, the computing formula of abandoning air quantity accounting index CutI is:
CutI=C wind/W wind(6)
In formula, C wind-always abandon wind-powered electricity generation amount; W windwind-powered electricity generation gross generation, C windand W windparameter belongs to the basic service data of electrical network EMS system and wind-powered electricity generation EMS system acquisition electrical network after wind power integration.
7. the safety of a kind of wind power integration electrical network as claimed in claim 1 and efficiency estimation method, is characterized in that, the computing formula of wind-powered electricity generation generating CER CarbonI is:
CarbonI=W wind(1-CutI)V emission(7)
In formula, V emissionthe carbon emission reduction income of-wind-powered electricity generation unit generating, V emissionparameter belongs to preset parameter, is obtained by statistics.
8. the safety of a kind of wind power integration electrical network as claimed in claim 1 and efficiency estimation method, is characterized in that, wind-powered electricity generation generating substitutes amount W subcomputing formula be:
W sub=W wind(1-CutI)
Wherein, W windfor wind-powered electricity generation gross generation, CutI is for abandoning air quantity accounting index;
Wind-powered electricity generation usefulness E wcomputing formula be:
E w=(E total-E wind)/W sub(9)
In formula, E totalfor wind-powered electricity generation do not access electrical network time, the total amount of system consumption fossil energy; E windduring-wind power integration electrical network, the total amount of system consumption fossil energy.
9. the safety of a wind power integration electrical network and Effectiveness Evaluation System, it is characterized in that, comprise historical data access layer, industry service layer, historical data access layer and industry service layer carry out information communication, industry service layer and Real-time Data Service layer all communicate with network communication bus, network communication bus also with safety and the measures of effectiveness module communication of wind power integration electrical network;
The safety of wind power integration electrical network and measures of effectiveness module, basic service data according to the electrical network of electrical network EMS system, wind-powered electricity generation EMS system transfers calculates efficiency index, and efficiency index comprises abandons air quantity accounting index, wind-powered electricity generation generating CER, the alternative amount of wind-powered electricity generation generating and comprehensive effectiveness index;
According to the basic service data of the electrical network of electrical network EMS system, wind-powered electricity generation EMS system transfers and the historical data analysis result computationally secure index of industry service layer transmission, safety index comprises line voltage safety index, mains frequency safety index, electrical network merit angle instability index and excessive risk event consequence index;
Calculate comprehensive safety index according to safety index, calculate comprehensive effectiveness desired value according to efficiency index, comprehensive safety index and comprehensive effectiveness desired value calculate wind power integration power grid security and effectiveness synthesis evaluation index value.
10. the safety of a kind of wind power integration electrical network as claimed in claim 9 and Effectiveness Evaluation System, it is characterized in that, historical data access layer comprises electric network model storehouse, wind-powered electricity generation history library and service management storehouse, and electric network model storehouse, wind-powered electricity generation history library and service management storehouse store electric network model, wind-powered electricity generation historical data and service management data respectively;
Industry service layer comprises Voltage Stability Analysis module, transient stability analysis module, Load flow calculation module and frequency stabilization analysis module, wherein, transient stability analysis module is used for carrying out stability analysis according to time-domain-simulation method, Lyapunov direct theory, expansion equal-area method or artificial intelligence method to electric system; Voltage Stability Analysis module is for analyzing the stability of line voltage after wind power integration, Load flow calculation module is used for realizing, under given power system network topology, component parameters and generating, load parameter conditions, calculating the distribution in power network of active power, reactive power and voltage; Frequency stabilization analysis module is used for carrying out stability analysis to the frequency in electrical network;
Real-time Data Service layer comprises electrical network EMS system, wind-powered electricity generation EMS system, electrical network EMS system, wind-powered electricity generation EMS system are respectively by real time service and interface adapted communication, electrical network EMS system, wind-powered electricity generation EMS system by gather real-time Data Transmission to real time service, data are transferred to interface adaptation by real time service further, and data are transferred to network communication bus by interface adaptation further.
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