CN105354761B - Safety and efficiency evaluation method and system for accessing wind power into power grid - Google Patents

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

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CN105354761B
CN105354761B CN201510734481.3A CN201510734481A CN105354761B CN 105354761 B CN105354761 B CN 105354761B CN 201510734481 A CN201510734481 A CN 201510734481A CN 105354761 B CN105354761 B CN 105354761B
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王洪涛
公昊
王春义
李广磊
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Abstract

The invention discloses a safety and efficiency evaluation method and a system for accessing wind power into a power grid, wherein after the wind power is accessed, basic operation data of the power grid are collected and stored in a database, and safety indexes are calculated according to the collected basic operation data of the power grid, wherein the safety indexes comprise a power grid voltage safety index, a power grid frequency safety index, a power grid power angle instability index and a high-risk event consequence index; calculating an efficiency index according to the collected basic operation data of the power grid, wherein the efficiency index comprises a ratio index of abandoned wind volume, wind power generation displacement reduction, wind power generation alternative quantity and a comprehensive efficiency index; and calculating a comprehensive evaluation index value of the safety and the efficiency of the wind power access power grid according to the comprehensive safety index and the comprehensive efficiency index value. The safety and efficiency indexes of wind power access are integrated to obtain a comprehensive evaluation index system covering social benefits, environmental benefits and safety benefits of the wind power access, and the method has high practical value.

Description

Safety and efficiency evaluation method and system for accessing wind power into power grid
Technical Field
The invention relates to a safety and efficiency evaluation method and system for accessing wind power into a power grid.
Background
Wind power has the characteristics of randomness, volatility and non-schedulability, the tide distribution of a system is changed by injecting high-permeability wind power, and the voltage stability and the frequency stability of the system are also influenced by the steady-state and transient-state characteristics of a wind generating set, which are different from those of a traditional synchronous generating set. The high-concentration wind power access to the power grid is subjected to various safety and stability constraints, such as power flow constraint, static safety constraint, voltage stability constraint, short circuit capacity constraint and the like. Therefore, in order to ensure that the power grid can operate safely and stably, when planning the wind power plant, the operating conditions of the accessed power grid need to be fully considered whether to meet the safety and stability constraint while fully utilizing the local wind energy resources.
The renewable energy law of the people's republic of China, which was applied in 2006, states that: the country encourages and supports the renewable energy grid-connected power generation and implements a full-amount guaranteed purchasing system of the renewable energy power generation. In addition, in 3 months of 2015, the national development and improvement committee and the national energy agency jointly release guidance opinions on improvement of power operation regulation and promotion of full development of clean energy, and measures should be taken by each province to implement a full-amount guaranteed purchasing system for renewable energy power generation, and the renewable energy power generation is arranged in full amount on the premise of ensuring the safety and stability of a power grid. Under the guidance of the national policies, the provincial power grid generally adopts a scheduling mode of receiving wind power in full, and methods such as reducing the operation point of a thermal power generating unit and even changing the start-stop state of the thermal power generating unit are adopted for receiving the wind power in full, so that the thermal power generating unit deviates from an economic operation area and even is started and stopped frequently, the operation cost of the thermal power generating unit is greatly increased, the energy conservation and emission reduction are not facilitated, and the reasonable evaluation on the value of the grid-connected wind power becomes a research key.
The characteristic of wind power non-schedulability enables contradictions between energy conservation and emission reduction, wind power full acceptance and wind power efficient utilization to be difficult to coordinate among all links of wind power development and utilization, and the condition of abandoning and limiting wind power for guaranteeing the safety and stability of an electric power system exists for a long time, so that the evaluation work of wind power access is more and more important.
The technical problem of safety and efficiency evaluation of wind power accessed to a power grid is as follows:
1. the data acquisition is not comprehensive enough, and the safety or energy efficiency evaluation is only carried out on a plurality of single variables, so that the result is not accurate enough;
2. the evaluation system cannot meet the requirement of real-time performance, and the existing evaluation system analyzes collected historical data rather than evaluates the real-time data.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention discloses a method and a system for evaluating the safety and efficiency of wind power access to a power grid.
In order to achieve the purpose, the invention adopts the following specific scheme:
a safety and efficiency evaluation method for accessing wind power to a power grid comprises the following steps:
the method comprises the following steps: after wind power is accessed, the power grid EMS system and the wind power EMS system acquire basic operation data of a power grid in real time and transmit the basic operation data to a data processing center through real-time service, interface adaptation and a network communication bus;
step two: the power grid model, the wind power historical data and the service management information are stored in a historical data access layer, the historical data access layer is communicated with a field service layer, frequency stability analysis, load flow calculation, transient stability analysis and voltage stability analysis are carried out in the field service layer according to the data of the historical data access layer, the result of data processing in the field service layer is transmitted to a data processing center through a network communication bus,
step three: safety and energy efficiency evaluation of wind power access to a power grid is carried out in a data processing center according to data transmitted by a real-time data service layer and a field service layer, and the safety and energy efficiency evaluation comprises the following steps: calculating safety indexes, wherein the safety indexes comprise a power grid voltage safety index, a power grid frequency safety index, a power grid power angle instability index and a high risk event consequence index;
calculating efficiency indexes, wherein the efficiency indexes comprise a ratio index of abandoned wind volume, wind power generation displacement reduction, wind power generation alternative quantity and a comprehensive efficiency index;
step four: and calculating a comprehensive safety index according to the safety index, calculating a comprehensive efficiency index value according to the efficiency index, and calculating a comprehensive evaluation index value of the safety and efficiency of the wind power access power grid according to the comprehensive safety index and the comprehensive efficiency index value.
Further, the calculation formula of the grid voltage safety index VI is:
Figure GDA0002313029130000021
in the formula, j represents the sequence number of the event causing the grid voltage instability; m-power grid operation mode;
Figure GDA0002313029130000022
-probability of occurrence of a class j grid voltage instability event in the mth mode of operation;
Figure GDA0002313029130000023
in the mth operating mode, the amount of load shedding caused in the event of a class j grid voltage instability,
Figure GDA0002313029130000024
and
Figure GDA0002313029130000025
the parameters can be obtained by analyzing and calculating the voltage stability of the power grid.
Further, a calculation formula of the power grid frequency safety index FI is as follows:
Figure GDA0002313029130000026
in the formula, i represents the sequence number of the event causing the grid frequency instability; m-power grid operation mode;
Figure GDA0002313029130000027
-probability of occurrence of a grid frequency instability event of class i in the mth mode of operation;
Figure GDA0002313029130000028
in the mth operating mode, the amount of load shedding caused in the event of a grid frequency instability of the ith class,
Figure GDA0002313029130000029
and
Figure GDA00023130291300000210
the parameters are obtained by analyzing and calculating the frequency stability of the power grid.
Further, the calculation formula of the power grid power angle instability index AI is as follows:
Figure GDA0002313029130000031
in the formula, k is the sequence number of the power grid power angle instability event; m-power grid operation mode;
Figure GDA0002313029130000032
-probability of occurrence of a kth class power grid power angle instability event in the mth operating mode;
Figure GDA0002313029130000033
in the mth operation mode, the load shedding amount caused in the k-th type power grid power angle instability event,
Figure GDA0002313029130000034
and
Figure GDA0002313029130000035
the parameters are obtained by analyzing and calculating the transient stability of the power grid.
Further, the high risk event outcome indicator HRI is calculated by the formula:
Figure GDA0002313029130000036
in the formula, q is the sequence number of the high risk event causing the power grid; m-power grid operation mode;
Figure GDA0002313029130000037
-probability of occurrence of a high risk event of class q grid in the mth mode of operation;
Figure GDA0002313029130000038
in the mth operating mode, the amount of load shedding caused in the high-risk event of the qth-type grid,
Figure GDA0002313029130000039
and
Figure GDA00023130291300000310
the parameters are obtained by power flow calculation of the power grid.
Further, the calculation formula of the air abandoning rate index CutI is as follows:
Figure GDA00023130291300000311
in the formula, Cwind-total abandoned wind power; wwindAnd (4) wind power total power generation. CwindAnd WwindThe parameters belong to a power grid EMS system after wind power access and basic operation data of a power grid acquired by the wind power EMS system.
Further, the calculation formula of the wind power generation displacement reduction CarbonI is as follows:
CarbonI=Wwind(1-CutI)Vemission(7)
in the formula, Vemission-carbon emission reduction benefits of wind power generation units. VemissionThe parameters belong to fixed parameters and are obtained from statistical data.
Further, wind power generation alternative quantity WsubThe calculation formula of (2) is as follows:
Wsub=Wwind(1-CutI)
wherein, WwindAnd CutI is the ratio index of the abandoned wind volume to the total generated energy of the wind power.
Further, wind power efficiency EwThe calculation formula of (2) is as follows:
Ew=(Etotal-Ewind)/Wsub(9)
in the formula, EtotalWhen the wind power is not connected to the power grid, the system consumes the total amount of fossil energy; ewindWhen wind power is connected to the grid, the system consumes the total amount of fossil energy.
A safety and efficiency evaluation system for a wind power access power grid comprises a historical data access layer and a field service layer, wherein the historical data access layer is in information communication with the field service layer, the field service layer and a real-time data service layer are both in communication with a network communication bus, and the network communication bus is also in communication with a safety and efficiency evaluation module of the wind power access power grid;
the safety and efficiency evaluation module of the wind power access power grid calculates efficiency indexes according to basic operation data of the power grid transmitted by the power grid EMS system and the wind power EMS system, wherein the efficiency indexes comprise a abandoned wind rate ratio index, a wind power generation displacement reduction amount, a wind power generation alternative amount and a comprehensive efficiency index;
calculating safety indexes according to the basic operation data of the power grid transmitted by the power grid EMS system and the wind power EMS system and historical data analysis results transmitted by a field service layer, wherein the safety indexes comprise a power grid voltage safety index, a power grid frequency safety index, a power grid power angle instability index and a high risk event consequence index;
and calculating a comprehensive safety index according to the safety index, calculating a comprehensive efficiency index value according to the efficiency index, and calculating a comprehensive evaluation index value of the safety and efficiency of the wind power access grid according to the comprehensive safety index and the comprehensive efficiency index value.
The historical data access layer comprises a power grid model base, a wind power historical base and a service management base, wherein the power grid model base, the wind power historical base and the service management base respectively store a power grid model, wind power historical data and service management data;
the field service layer comprises a voltage stability analysis module, a transient stability analysis module, a load flow calculation module and a frequency stability analysis module, wherein the transient stability analysis module is used for carrying out stability analysis on the power system according to a time domain simulation method, a Lyapunov direct method, an extended equal-area method or an artificial intelligence method; the power flow calculation module is used for calculating the distribution of active power, reactive power and voltage in the power grid under the conditions of given power system network topology, element parameters, power generation parameters and load parameters; the frequency stability analysis module is used for carrying out stability analysis on the frequency in the power grid.
The real-time data service layer comprises a power grid EMS system and a wind power EMS system, the power grid EMS system and the wind power EMS system are respectively communicated with the interface adaptation through real-time service, the power grid EMS system and the wind power EMS system transmit acquired real-time data to the real-time service, the real-time service further transmits the data to the interface adaptation, and the interface adaptation further transmits the data to the network communication bus.
The invention has the beneficial effects that:
according to the calculation method of the index system for the comprehensive evaluation of the wind power access safety and efficiency, provided by the invention, according to the characteristics of different evaluation indexes, the related indexes are layered and grouped, the safety index and the efficiency index are evaluated at the same time, and finally the safety and efficiency indexes of the wind power access are integrated to obtain the comprehensive evaluation index system covering the social benefit, the environmental benefit and the safety benefit of the wind power access. The basic data required by the evaluation method of the index system are respectively derived from basic operation data of a power grid, a conventional power grid load flow calculation program, a power grid transient stability calculation program, a power grid frequency stability calculation program and a power grid voltage stability calculation program which are acquired after wind power is accessed, the calculation method is simple and rapid, meanwhile, the calculation result has high practical value, and planning or operating personnel can be guided to rapidly and online evaluate the wind power receiving capacity of the system.
Drawings
FIG. 1 is a flow chart of a method for establishing a comprehensive evaluation index system for safety and efficiency of a wind power access power grid;
FIG. 2 is a schematic diagram of a comprehensive evaluation index system for safety and efficiency of wind power access to a power grid;
FIG. 3 is a diagram of a safety and efficiency comprehensive evaluation system for accessing wind power to a power grid.
The specific implementation mode is as follows:
the invention is described in detail below with reference to the accompanying drawings:
referring to fig. 1 to fig. 2, the method for establishing the index system for the comprehensive evaluation of the transmission grid safety risk mainly includes the following steps:
step 1: establishing an index system hierarchical structure which sequentially comprises a target layer, a category layer and an index layer;
in step 1, according to the method for establishing the safety evaluation index system, considering that the safety and efficiency targets of the wind power access power grid are obviously hierarchical, an evaluation hierarchical structure is established, and therefore the comprehensive evaluation system for the safety and efficiency of the wind power access power grid is obtained.
Step 2: classifying the hierarchical structure of each index system, and dividing target layer indexes into two types, namely safety indexes and efficiency indexes;
and step 3: classifying the safety indexes, and establishing evaluation indexes of the safety indexes in an index layer, wherein the evaluation indexes comprise: the method comprises the following steps of (1) power grid voltage safety indexes, power grid frequency safety indexes, power grid power angle instability indexes and high risk event consequence indexes;
and 4, step 4: classifying the performance indexes, and establishing evaluation indexes of the performance indexes in an index layer, wherein the evaluation indexes comprise: the wind power generation displacement reduction index, the wind power generation alternative quantity index and the wind power efficiency index;
and 5: and calculating all indexes related to the safety indexes in the index layer, and comprehensively obtaining the comprehensive safety index value of the wind power accessed to the power grid.
In step 5, the calculation formula of the grid voltage safety index VI is:
Figure GDA0002313029130000051
in the formula, j represents the sequence number of the event causing the grid voltage instability; m-power grid operation mode;
Figure GDA0002313029130000052
-probability of occurrence of a class j grid voltage instability event in the mth mode of operation;
Figure GDA0002313029130000053
in the mth operating mode, the amount of load shedding caused in the event of a class j grid voltage instability.
In step 5, a calculation formula of the grid frequency safety index FI is as follows:
Figure GDA0002313029130000061
in the formula, i represents the sequence number of the event causing the grid frequency instability; m-power grid operation mode;
Figure GDA0002313029130000062
-probability of occurrence of a grid frequency instability event of class i in the mth mode of operation;
Figure GDA0002313029130000063
in the mth operation mode, the load shedding amount caused in the i-th grid frequency instability event.
In step 5, a calculation formula of the power grid power angle instability index AI is as follows:
Figure GDA0002313029130000064
in the formula, k is the sequence number of the power grid power angle instability event; m-power grid operation mode;
Figure GDA0002313029130000065
-probability of occurrence of a kth class power grid power angle instability event in the mth operating mode;
Figure GDA0002313029130000066
in the mth operation mode, the load shedding amount caused in the k-th type power grid power angle instability event.
In step 5, the high risk event outcome indicator HRI is calculated as:
Figure GDA0002313029130000067
in the formula, q is the sequence number of the high risk event causing the power grid; m-power grid operation mode;
Figure GDA0002313029130000068
-probability of occurrence of a high risk event of class q grid in the mth mode of operation;
Figure GDA0002313029130000069
in the mth operating mode, the load shedding caused in the high-risk event of the qth type of power grid.
In step 5, the calculation formula of the comprehensive safety index SI is:
SI=ωVVI+ωFFI+ωAAI+ωHRHRI (5)
in the formula, ωV、ωF、ωA、ωHRAnd the weight coefficients are respectively a power grid voltage safety index VI, a power grid frequency safety index FI, a power grid power angle instability index AI and a high risk event consequence index HRI.
Step 6: and calculating each index related to the efficiency index in the index layer, and comprehensively obtaining the comprehensive efficiency index value of the wind power accessed to the power grid.
In step 6, the calculation formula of the air abandon rate index CutI is as follows:
Figure GDA00023130291300000610
in the formula, Cwind-total abandoned wind power; wwind-total wind power generation.
In step 6, the calculation formula of the wind power generation displacement reduction CarbonI is as follows:
CarbonI=Wwind(1-CutI)Vemission(7)
in the formula, Vemission-carbon emission reduction benefits of wind power generation units.
In step 6, wind power generation alternative quantity WsubThe calculation formula of (2) is as follows:
Wsub=Wwind(1-CutI) (8)
in step 6, wind power efficiency EwThe calculation formula of (2) is as follows:
Ew=(Etotal-Ewind)/Wsub(9)
in the formula, EtotalWhen the wind power is not connected to the grid, the system consumes the total amount of fossil energy;
Ewindwhen wind power is connected to the grid, the system consumes the total amount of fossil energy.
In step 6, the calculation formula of the integrated performance index EI is:
EI=ωcCarbonI+ωEEw(10)
in the formula, ωC、ωERespectively reducing the wind power generation displacement CarbonI and the wind power efficiency EwThe weight coefficient of (2).
And 7: and calculating the comprehensive evaluation index value of the safety and the efficiency of the wind power access power grid according to the comprehensive safety index value and the comprehensive efficiency index value.
In step 7, a calculation formula of the wind power access grid safety and efficiency comprehensive evaluation index value GI is as follows:
GI=ωSISI+ωEIEI (11)
in the formula, ωSI、ωEIThe weighting coefficients of the comprehensive safety index SI and the comprehensive efficiency index EI are respectively.
According to the calculation method of the index system for the comprehensive evaluation of the wind power access safety and efficiency, provided by the invention, according to the characteristics of different evaluation indexes, the related indexes are layered and grouped, the safety index and the efficiency index are evaluated at the same time, and finally the safety and efficiency indexes of the wind power access are integrated to obtain the comprehensive evaluation index system covering the social benefit, the environmental benefit and the safety benefit of the wind power access, so that the calculation method has high practical value.
As shown in fig. 3, a safety and efficiency evaluation system for a wind power access grid includes a historical data access layer and a field service layer, wherein the historical data access layer and the field service layer perform information communication, the field service layer and the real-time data service layer both communicate with a network communication bus, and the network communication bus also communicates with a safety and efficiency evaluation module for the wind power access grid;
the historical data access layer comprises a power grid model base, a wind power historical base and a service management base, wherein the power grid model base, the wind power historical base and the service management base respectively store a power grid model, wind power historical data and service management data;
the field service layer comprises a voltage stability analysis module, a transient stability analysis module, a load flow calculation module and a frequency stability analysis module, wherein the transient stability analysis module is used for carrying out stability analysis on the power system according to a time domain simulation method, a Lyapunov direct method, an extended equal-area method or an artificial intelligence method; the voltage stability analysis module is used for analyzing the stability of the grid voltage after wind power is connected, and the power flow calculation module is used for calculating the distribution of active power, reactive power and voltage in the power grid under the conditions of given power system network topology, element parameters, power generation parameters and load parameters.
The frequency stability analysis module is used for carrying out stability analysis on the frequency in the power grid.
The real-time data service layer comprises a power grid EMS system and a wind power EMS system, the power grid EMS system and the wind power EMS system are respectively communicated with the interface adaptation through real-time service, the power grid EMS system and the wind power EMS system transmit acquired real-time data to the real-time service, the real-time service further transmits the data to the interface adaptation, and the interface adaptation further transmits the data to the network communication bus.
The safety and efficiency evaluation module of the wind power access power grid calculates efficiency indexes according to basic operation data of the power grid transmitted by the power grid EMS system and the wind power EMS system, wherein the efficiency indexes comprise a abandoned wind rate ratio index, a wind power generation displacement reduction amount, a wind power generation alternative amount and a comprehensive efficiency index;
calculating safety indexes according to basic operation data of a power grid transmitted by a power grid EMS system and a wind power EMS system, wherein the safety indexes comprise a power grid voltage safety index, a power grid frequency safety index, a power grid power angle instability index and a high risk event consequence index;
and calculating a comprehensive safety index according to the safety index, calculating a comprehensive efficiency index value according to the efficiency index, and calculating a comprehensive evaluation index value of the safety and efficiency of the wind power access grid according to the comprehensive safety index and the comprehensive efficiency index value.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.

Claims (3)

1. A safety and efficiency evaluation method for accessing wind power to a power grid is characterized by comprising the following steps:
the method comprises the following steps: after wind power is accessed, the power grid EMS system and the wind power EMS system acquire basic operation data of a power grid in real time and transmit the basic operation data to a data processing center through real-time service, interface adaptation and a network communication bus;
step two: the power grid model, the wind power historical data and the service management information are stored in a historical data access layer, the historical data access layer is communicated with a field service layer, frequency stability analysis, load flow calculation, transient stability analysis and voltage stability analysis are carried out in the field service layer according to the data of the historical data access layer, the result of data processing in the field service layer is transmitted to a data processing center through a network communication bus,
step three: safety and energy efficiency evaluation of wind power access to a power grid is carried out in a data processing center according to data transmitted by a real-time data service layer and a field service layer, and the safety and energy efficiency evaluation comprises the following steps: calculating safety indexes, wherein the safety indexes comprise a power grid voltage safety index, a power grid frequency safety index, a power grid power angle instability index and a high risk event consequence index;
calculating efficiency indexes, wherein the efficiency indexes comprise a ratio index of abandoned wind volume, wind power generation displacement reduction, wind power generation alternative quantity and a comprehensive efficiency index;
step four: calculating a comprehensive safety index according to the safety index, calculating a comprehensive efficiency index value according to the efficiency index, and calculating a comprehensive evaluation index value of the safety and efficiency of the wind power access grid according to the comprehensive safety index and the comprehensive efficiency index value;
the calculation formula of the grid voltage safety index VI is as follows:
Figure FDA0002313029120000011
in the formula, j represents the sequence number of the event causing the grid voltage instability; m-power grid operation mode;
Figure FDA0002313029120000012
-probability of occurrence of a class j grid voltage instability event in the mth mode of operation;
Figure FDA0002313029120000013
in the mth operating mode, the amount of load shedding caused in the event of a class j grid voltage instability,
Figure FDA0002313029120000014
and
Figure FDA0002313029120000015
the parameters are obtained by analyzing and calculating the voltage stability of the power grid;
the calculation formula of the power grid frequency safety index FI is as follows:
Figure FDA0002313029120000016
in the formula, i represents the sequence number of the event causing the grid frequency instability; m-power grid operation mode;
Figure FDA0002313029120000017
-probability of occurrence of a grid frequency instability event of class i in the mth mode of operation;
Figure FDA0002313029120000018
in the mth operating mode, the amount of load shedding caused in the event of a grid frequency instability of the ith class,
Figure FDA0002313029120000019
and
Figure FDA00023130291200000110
the parameters are obtained by analyzing and calculating the frequency stability of the power grid;
the calculation formula of the power grid power angle instability index AI is as follows:
Figure FDA00023130291200000111
in the formula, k is the sequence number of the power grid power angle instability event; m-grid operationThe method;
Figure FDA0002313029120000021
-probability of occurrence of a kth class power grid power angle instability event in the mth operating mode;
Figure FDA0002313029120000022
in the mth operation mode, the load shedding amount caused in the k-th type power grid power angle instability event,
Figure FDA0002313029120000023
and
Figure FDA0002313029120000024
the parameters are obtained by analyzing and calculating the transient stability of the power grid;
the high risk event outcome indicator HRI is calculated as:
Figure FDA0002313029120000025
in the formula, q is the sequence number of the high risk event causing the power grid; m-power grid operation mode;
Figure FDA0002313029120000026
-probability of occurrence of a high risk event of class q grid in the mth mode of operation;
Figure FDA0002313029120000027
in the mth operating mode, the amount of load shedding caused in the high-risk event of the qth-type grid,
Figure FDA0002313029120000028
and
Figure FDA0002313029120000029
the parameters are obtained by power grid load flow calculation;
the calculation formula of the air abandonment ratio index CutI is as follows:
CutI=Cwind/Wwind(6)
in the formula, Cwind-total abandoned wind power; wwindWind power total generation capacity; cwindAnd WwindThe parameters belong to a power grid EMS system after wind power access and basic operation data of a power grid collected by the wind power EMS system;
the calculation formula of the wind power generation displacement reduction CarbonI is as follows:
CarbonI=Wwind(1-CutI)Vemission(7)
in the formula, Vemission-carbon emission reduction gains for wind power generation units; vemissionThe parameters belong to fixed parameters and are obtained by statistical data;
wind power generation alternative quantity WsubThe calculation formula of (2) is as follows:
Wsub=Wwind(1-CutI)
wherein, WwindCutI is the ratio index of the air abandoning amount to the total power generation amount of wind power;
wind power efficiency EwThe calculation formula of (2) is as follows:
Ew=(Etotal-Ewind)/Wsub(9)
in the formula, EtotalWhen the wind power is not connected to the power grid, the system consumes the total amount of fossil energy; ewindWhen wind power is connected to the grid, the system consumes the total amount of fossil energy.
2. The evaluation system adopting the safety and efficiency evaluation method of the wind power access grid of claim 1, which is characterized by comprising a historical data access layer, a field service layer, wherein the historical data access layer is in information communication with the field service layer, the field service layer and the real-time data service layer are both in communication with a network communication bus, and the network communication bus is also in communication with a safety and efficiency evaluation module of the wind power access grid;
the safety and efficiency evaluation module of the wind power access power grid calculates efficiency indexes according to basic operation data of the power grid transmitted by the power grid EMS system and the wind power EMS system, wherein the efficiency indexes comprise a abandoned wind rate ratio index, a wind power generation displacement reduction amount, a wind power generation alternative amount and a comprehensive efficiency index;
calculating safety indexes according to the basic operation data of the power grid transmitted by the power grid EMS system and the wind power EMS system and historical data analysis results transmitted by a field service layer, wherein the safety indexes comprise a power grid voltage safety index, a power grid frequency safety index, a power grid power angle instability index and a high risk event consequence index;
and calculating a comprehensive safety index according to the safety index, calculating a comprehensive efficiency index value according to the efficiency index, and calculating a comprehensive evaluation index value of the safety and efficiency of the wind power access grid according to the comprehensive safety index and the comprehensive efficiency index value.
3. The evaluation system of the method for evaluating the safety and the efficiency of the wind power access to the power grid according to claim 2, wherein the historical data access layer comprises a power grid model library, a wind power historical library and a service management library, and the power grid model library, the wind power historical library and the service management library respectively store a power grid model, wind power historical data and service management data;
the field service layer comprises a voltage stability analysis module, a transient stability analysis module, a load flow calculation module and a frequency stability analysis module, wherein the transient stability analysis module is used for carrying out stability analysis on the power system according to a time domain simulation method, a Lyapunov direct method, an extended equal-area method or an artificial intelligence method; the power flow calculation module is used for calculating the distribution of active power, reactive power and voltage in the power grid under the conditions of given power system network topology, element parameters, power generation parameters and load parameters; the frequency stability analysis module is used for carrying out stability analysis on the frequency in the power grid;
the real-time data service layer comprises a power grid EMS system and a wind power EMS system, the power grid EMS system and the wind power EMS system are respectively communicated with the interface adaptation through real-time service, the power grid EMS system and the wind power EMS system transmit acquired real-time data to the real-time service, the real-time service further transmits the data to the interface adaptation, and the interface adaptation further transmits the data to the network communication bus.
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CN105932711B (en) * 2016-04-26 2018-06-29 国网电力科学研究院 The assessment measuring method of wind is abandoned in a kind of wind-power electricity generation-load real time coordination consumption
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201369575Y (en) * 2008-12-26 2009-12-23 西北电网有限公司 Wind power dispatching decision support device
CN103248051A (en) * 2013-05-25 2013-08-14 南京南瑞集团公司 Method for evaluating grid operation safety risk caused by wind farm power fluctuation
CN103337855A (en) * 2013-05-09 2013-10-02 国家电网公司 Electrical network operation risk assessment method of wind electricity large-scale tripping
CN103426122A (en) * 2013-05-17 2013-12-04 中国能源建设集团广东省电力设计研究院 Comprehensive evaluation method of micro-grid
CN104158206A (en) * 2013-12-04 2014-11-19 南京南瑞集团公司 Grid security and stability control method considering wind power uncertainties
CN104881818A (en) * 2015-03-30 2015-09-02 国网能源研究院 Method for establishing transmission grid safety risk comprehensive evaluation index system
WO2015159036A1 (en) * 2014-04-17 2015-10-22 Vergnet Sa Method of control and regulation of an electrical network

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201369575Y (en) * 2008-12-26 2009-12-23 西北电网有限公司 Wind power dispatching decision support device
CN103337855A (en) * 2013-05-09 2013-10-02 国家电网公司 Electrical network operation risk assessment method of wind electricity large-scale tripping
CN103426122A (en) * 2013-05-17 2013-12-04 中国能源建设集团广东省电力设计研究院 Comprehensive evaluation method of micro-grid
CN103248051A (en) * 2013-05-25 2013-08-14 南京南瑞集团公司 Method for evaluating grid operation safety risk caused by wind farm power fluctuation
CN104158206A (en) * 2013-12-04 2014-11-19 南京南瑞集团公司 Grid security and stability control method considering wind power uncertainties
WO2015159036A1 (en) * 2014-04-17 2015-10-22 Vergnet Sa Method of control and regulation of an electrical network
CN104881818A (en) * 2015-03-30 2015-09-02 国网能源研究院 Method for establishing transmission grid safety risk comprehensive evaluation index system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《关于风电不确定性对电力系统影响的评述》;薛禹胜等;《中国电机工程学报》;20141015;第34卷(第29期);第5029-5040页 *

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