CN112508338B - New energy station grid-connected performance comprehensive evaluation system and evaluation method thereof - Google Patents

New energy station grid-connected performance comprehensive evaluation system and evaluation method thereof Download PDF

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CN112508338B
CN112508338B CN202011245888.7A CN202011245888A CN112508338B CN 112508338 B CN112508338 B CN 112508338B CN 202011245888 A CN202011245888 A CN 202011245888A CN 112508338 B CN112508338 B CN 112508338B
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杨立滨
张海宁
李春来
李正曦
刘庭响
李志青
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State Grid Qinghai Electric Power Co Clean Energy Development Research Institute
State Grid Qinghai Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Qianghai Electric Power Co Ltd
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State Grid Qinghai Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Qianghai Electric Power Co Ltd
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Abstract

The invention provides a new energy station grid-connected performance comprehensive evaluation system, which belongs to the technical field of power grids, and comprises a power grid operation data interface for transmitting power grid operation data to a complex power grid working condition simulation module, a new energy station model parameter identification and verification module for carrying out model verification by using test data, a power grid complex working condition simulation module for carrying out complex power grid simulation, a power grid regional operation risk judgment module for judging operation risk, a new energy station grouping module for dividing new energy station groups, a support vector machine module for dynamically modeling new energy station grid-connected performance indexes, an index correction module for correcting new energy station grid-connected performance indexes, a new energy station comprehensive evaluation module for evaluating grid-connected new energy stations, and a new energy station evaluation result display and output module for displaying and outputting evaluation results. In addition, the invention also provides a method for operating the system.

Description

New energy station grid-connected performance comprehensive evaluation system and evaluation method thereof
Technical Field
The invention belongs to the technical field of power grids, and particularly relates to a comprehensive evaluation system and an evaluation method for grid-connected performance of a new energy station.
Background
The large-scale new energy power generation access brings challenges to the operation of the power grid, and the test and evaluation of the grid-connected performance of the new energy station are important means for guaranteeing the safe and stable operation of the power grid before grid connection. The capacity and the technology limit, the test and the field test can only be carried out on the inverter or the power generation unit at the present stage, and the grid-connected performance of the new energy power station needs to be solved by means of simulation means.
On the other hand, the new energy station grid-connected performance evaluation is based on various standards which come from public publications, such as GB/T19963 technical provision for wind power station access power system and GB/T19964 technical provision for photovoltaic power station access power system.
However, the formulation of the related indexes of the new energy power generation grid-connected standard needs to have higher universality and certain timeliness, does not have pertinence, and cannot accurately express the actual requirements of different regional power grids on new energy stations. For the power grid dispatching department, the same evaluation index is adopted for all new energy stations in the whole regional power grid, so that the evaluation result is likely to have no reference value, and sometimes misleading can be carried out on dispatching personnel.
Meanwhile, the development speeds of new energy sources in different areas are inconsistent, and the intensity of grid frames of each ground power grid is possibly different, so that the requirements of grid connection performance evaluation of new energy stations in different geographic positions and different time phases are different.
In order to scientifically and comprehensively evaluate new energy sources of new energy stations in grid connection, a reasonable index system needs to be formulated, and the new energy stations are evaluated in different areas.
Disclosure of Invention
The invention aims to: in order to overcome the defects of the prior art, the invention provides a new energy station grid-connected performance comprehensive evaluation system; another object of the present invention is to provide a method for evaluating the same.
The technical scheme is as follows: in order to achieve the aim of the invention, the invention adopts the following technical scheme:
A new energy station grid-connected performance comprehensive evaluation system comprises:
grid operation data interface: transmitting the power grid operation data to a power grid complex working condition simulation module;
And the new energy station model parameter identification and verification module is as follows: identifying new energy station model parameters by using new energy station key equipment test data as input, automatically checking the accuracy of the established new energy station model, and outputting the established new energy station model information to a power grid complex working condition simulation module;
Complicated working condition simulation module of electric wire netting: according to the output of the power grid operation data interface and the new energy station model parameter identification and verification module, the complex working condition of the power grid is simulated by selecting the set power grid faults, and the result is output to the regional operation risk judgment module of the power grid;
Regional operation risk judging module of the power grid: judging regional security risk of the power grid according to the received complex working condition simulation result of the power grid and national standard, and outputting the result to a new energy station grouping module;
New energy station grouping module: according to the received result of regional operation risk judgment of the power grid, dividing the power grid into regions automatically, numbering new energy stations in the regions, automatically importing operation and test data of the new energy stations into a database, outputting the grouping result to a support vector machine module, and providing data and information interaction support for a grid-connected index performance comprehensive evaluation module;
Support vector machine module: according to the received output result of the new energy station grouping module, automatic classification and sorting are carried out on new energy station grid-connected quantification indexes in the national standard; weighting new energy station grid-connected performance indexes of each region according to the received output result of the regional operation risk judging module of the power grid;
The index correction module is used for: carrying out manual correction or self-adaptive correction on the received output result of the support vector machine module, and outputting the result to a grid-connected performance index comprehensive evaluation module;
the grid-connected performance index comprehensive evaluation module is used for: according to the received new energy station operation and test data and corresponding evaluation indexes, comprehensively evaluating the grid-connected performance of the new energy station, and outputting an evaluation result to an evaluation result output and display module;
the evaluation result output and display module: and displaying the evaluation result of the new energy station, and supporting the user to conduct the custom export of the evaluation result.
Further, the new energy station model parameter identification and verification module establishes a new energy station model frame according to the modeling guide rule of the electrical simulation model of the NB/T31066 wind turbine generator and the modeling guide rule of the GB/T32826 photovoltaic power generation system, identifies model parameters based on test data input, and automatically corrects the accuracy of the model.
Further, the complex working condition simulation module of the power grid constructs a simulation system by self-defining or automatically reading information of a grid frame, a new energy station, a traditional power supply and a load model from output data information of a power grid operation data interface and a new energy station model parameter identification and verification module according to a user; and carrying out electromechanical transient simulation on the running condition of the power grid through user-defined selection or automatic selection of the set power grid faults.
Further, the regional operation risk of the power grid is judged, a criterion is set according to the voltage, frequency and power angle stability index requirement of the power system in the national standard GB38755 safety stability guide rule of the power system, and the regional operation risk of the power grid is identified by scanning the output result of the complex working condition simulation module of the power grid.
Further, the new energy station grouping module identifies key sections of the power grid according to the received power grid regional operation risk judgment result, divides different power grid areas in a section cutting mode, and numbers and stores test data of the new energy stations in the areas according to the power grid regional division result.
Further, the support vector machine module establishes a normalized linear classification surface according to the power grid operation state samples (M i,Ni) output by the new energy station grouping module and the power grid regional operation risk judging module
ωTM+b=0 (I)
M i is the i-th power grid running state, and is generally composed of key power supply output, key node voltage, key line power flow and power grid frequency/voltage/power angle stability information; n i is a mark of whether the section is a key section in the running state of the power grid, ω is a characteristic distance, and b is a sequencing variable; according to the classification intervalMaximum, the following optimization problem is established:
Further, the index correction module supports two modes, one is a user-defined mode and the other is an index adaptive correction mode.
Further, the index correction module carries out self-adaptive correction mode to solve the formula (II), in the solving process, constraint terms are relaxed, penalty terms are added at the same time, and the formula (II) is corrected to be
In the formula, xi is a relaxation factor,Is a penalty term; to ensure the effect of solving the formula (III) under nonlinear data, a kernel function is introduced in the solving process.
Further, the grid-connected performance index comprehensive evaluation module: solving the model established by the support vector machine module corrected by the index correction module, comprehensively evaluating the grid-connected performance of the new energy station, and outputting the result to the evaluation result output and display module.
Further, according to the evaluation method of the new energy station grid-connected performance comprehensive evaluation system, the released new energy station grid-connected quantitative index is used as a basis, actual operation data and simulation results of the new energy station and the power grid are adopted, the regional power grid operation risk is considered, and the new energy station grid-connected performance is comprehensively evaluated by establishing a support vector machine model;
Further, the evaluation method of the new energy station grid-connected performance comprehensive evaluation system comprises the following steps:
Step 1: establishing an electromechanical transient simulation model of the new energy station according to the key equipment test data of the new energy station;
step 2: establishing an electromechanical transient simulation model of the regional power grid containing large-scale new energy power generation according to the power grid operation data and the established new energy station model;
Step 3: simulating complex operation conditions of the power grid by setting typical faults, judging the operation risk of the power grid according to national standards, and determining the key section of the regional power grid;
Step 4: dividing a power grid region according to the key section of the regional power grid, and grouping new energy stations and warehousing test data according to the division of the region;
Step 5: establishing a new energy station comprehensive evaluation index support vector machine model suitable for the working condition of a complex power grid according to the division of the power grid areas and the running risk condition of the power grid in each area;
Step 6: correcting the support vector machine model through a user-defined or self-adaptive correction mode; default adaptive correction mode;
step 7: the operation and test data of the new energy stations in groups are used as input, and the comprehensive evaluation and sequencing of the grid connection performance of the new energy stations are realized by solving the support vector machine model, and the new energy stations are output and displayed.
Compared with the prior art, the invention has the beneficial effects that:
1) The universality of related quantitative indexes in the release standard can be considered, and the regional power grid operation risk can be considered;
2) The simulation and the measured data are combined to construct a complex power grid working condition which needs to be adapted to the grid-connected operation of the new energy station, so that the bottleneck that the capacity and the technology are limited and the test evaluation can only be carried out on the generator set or the unit at the present stage is overcome;
3) Based on the operation data of the new energy station and the regional power grid, the timeliness of the grid-connected performance evaluation index of the new energy station can be ensured through rolling simulation analysis, the operation of the power generation system containing the new energy can be scientifically guided, and the safe and stable operation of the regional power grid can be ensured;
4) The ordering and correction of the grid-connected performance evaluation indexes of the new energy station are completed by establishing a support vector machine model, and the method has the characteristics of high calculation speed block, high classification accuracy and strong generalization capability, and is simple in program design and easy to realize;
5) The foundation for establishing the grid-connected performance evaluation index of the new energy power station is a judgment result of the public national standard and regional operation risk of the power grid, so that the actual requirement of safe and stable operation of the power grid can be met, the actual requirements of operation of the power station can be fully considered, and the coordinated operation of the source network can be effectively supported.
Drawings
FIG. 1 is a schematic diagram of a new energy station grid-connected performance comprehensive evaluation system.
Detailed Description
The technical scheme of the new energy station grid-connected performance comprehensive evaluation system and the evaluation method thereof are clearly and completely described below by combining the embodiment and the drawings. Fig. 1 shows a schematic diagram of a comprehensive evaluation scheme of grid-connected performance of a new energy station.
The new energy station grid-connected performance comprehensive evaluation system comprises a power grid operation data interface, a new energy station model parameter identification and verification module, a power grid complex working condition simulation module, a power grid regional operation risk judgment module, a new energy station grouping module, a support vector machine module, an index correction module, a new energy station comprehensive evaluation module and an evaluation result display and output module; the method comprises the following steps:
grid operation data interface: transmitting the power grid operation data to a power grid complex working condition simulation module;
and the new energy station model parameter identification and verification module is as follows: identifying new energy station model parameters by using new energy station key equipment test data as input, and outputting the result to a power grid complex working condition simulation module;
complicated working condition simulation module of electric wire netting: the method comprises the steps of automatically simulating complex working conditions of a power grid through selecting set power grid faults, and outputting a result to a regional operation risk judging module of the power grid;
regional operation risk judging module of the power grid: judging regional security risks of the power grid according to national standards, and outputting the results to a new energy station grouping module;
New energy station grouping module: dividing the power grid into regions according to the received result of regional operation risk judgment of the power grid, numbering new energy stations in each divided region, automatically importing operation and test data of the new energy stations into a database, outputting a grouping result to a support vector machine module, and simultaneously providing data and information interaction support for a grid-connected index performance comprehensive evaluation module;
Support vector machine module: the new energy station grid-connected quantitative indexes in the national standard are automatically classified and sequenced, and the new energy station grid-connected performance indexes of all areas are weighted according to the received output result of the regional operation risk judging module of the power grid;
The index correction module is used for: providing two modes of user definition and index self-adaptive correction, correcting the output result of the received support vector machine module, and outputting the result to a grid-connected performance index comprehensive evaluation module;
the grid-connected performance index comprehensive evaluation module is used for: according to the received new energy station operation and test data and corresponding evaluation indexes, comprehensively evaluating the grid-connected performance of the new energy station, and outputting an evaluation result to an evaluation result output and display module;
the evaluation result output and display module: and displaying the evaluation result of the new energy station, and supporting the user to conduct the custom export of the evaluation result.
The user establishes an accurate new energy station equivalent model according to the key equipment test data of the new energy station and the published new energy power generation modeling standard NB/T31066 & lt wind turbine generator set electric simulation model modeling guide rules & gt and GB/T32826 & lt photovoltaic power generation system modeling guide rules & gt; and establishing an electromechanical transient simulation model of the regional power grid according to the power grid operation data, wherein parameters of the simulation model can be identified and corrected on line through the power grid operation data. The power grid model is established according to relevant requirements, for example, DL755, the safety and stability guidelines of the electric power system, and GB/T26399, the safety and stability control technical guidelines of the electric power system.
By setting faults at key nodes of a power grid, the multi-working-condition operation condition of the regional power grid is simulated, and the basis of fault setting and risk judging is GB38755 safety and stability guidelines of the power system, DL755 safety and stability guidelines of the power system, GB/T26399 safety and stability control technology guidelines of the power system, GB/T31464 power grid operation rules, GB/T19963 technical regulation of wind power plant access power system and GB/T19964 technical regulation of photovoltaic power plant access power system. The key section of the power grid is determined through judging regional operation risk of the power grid, and the power grid is further divided into regions according to the key section.
According to the division of the power grid area, numbering the operation and test data of the new energy stations in the divided area, and writing the new energy stations into a database according to types; meanwhile, according to GB38755 'safety and stability guidelines for electric power systems, DL 755' safety and stability guidelines for electric power systems, GB/T26399 'safety and stability control technical guidelines for electric power systems, GB/T31464' power grid operation rules, grid-connected performance indexes in national standards GB/T19963 'technical regulation for wind power plant access electric power systems and GB/T19964' technical regulation for photovoltaic power plant access electric power systems are weighted, and normalized linear classification surfaces are established according to power grid operation state samples (Mi, ni) output by a new energy station grouping module and a power grid regional operation risk judging module
ωTM+b=0 (I)
M i is the i-th power grid running state, and is generally composed of key power supply output, key node voltage, key line power flow and power grid frequency/voltage/power angle stability information; n i is a mark of whether the section is a key section in the running state of the power grid, ω is a characteristic distance, and b is a sequencing variable;
According to the classification interval Maximum, the following optimization problem is established:
The comprehensive evaluation of the grid-connected performance of the new energy station is to solve the formula (II), wherein constraint terms are required to be relaxed in the solving process, and penalty terms are added. For this purpose, formula (II) can be modified as
Wherein, xi is a relaxation factor, y i is a support vector machine parameter vibration amplitude correction coefficient matrix, and X i is the amplitude from a variable to a support vector machine variable; Is a penalty term, wherein C is a penalty coefficient, and i is the number of new energy stations (1, 2,3, … …, n).
To ensure the effect of solving equation (III) under nonlinear data, the introduction of a kernel function may be considered during the solving process. Before solving, the user can select a custom or system self-adaptive mode to correct the index according to the requirement.
The new energy station grid-connected performance comprehensive evaluation system can also order the new energy stations according to the evaluation results and aiming at the requirements of the power grid operation and power grid dispatching departments. After solving the formula (III), the variable omega is the corresponding sequencing basis.
Finally, it should be noted that: the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

Claims (10)

1. A new energy station grid-connected performance comprehensive evaluation system is characterized in that the system comprises:
grid operation data interface: transmitting the power grid operation data to a power grid complex working condition simulation module;
And the new energy station model parameter identification and verification module is as follows: identifying new energy station model parameters by using new energy station key equipment test data as input, automatically checking the accuracy of the established new energy station model, and outputting the established new energy station model information to a power grid complex working condition simulation module;
Complicated working condition simulation module of electric wire netting: according to the output of the power grid operation data interface and the new energy station model parameter identification and verification module, the complex working condition of the power grid is simulated by selecting the set power grid faults, and the result is output to the regional operation risk judgment module of the power grid;
Regional operation risk judging module of the power grid: judging regional security risk of the power grid according to the received complex working condition simulation result of the power grid and national standard, and outputting the result to a new energy station grouping module;
New energy station grouping module: according to the received result of regional operation risk judgment of the power grid, dividing the power grid into regions automatically, numbering new energy stations in the regions, automatically importing operation and test data of the new energy stations into a database, outputting the grouping result to a support vector machine module, and providing data and information interaction support for a grid-connected index performance comprehensive evaluation module;
Support vector machine module: according to the received output result of the new energy station grouping module, automatic classification and sorting are carried out on new energy station grid-connected quantification indexes in the national standard; weighting new energy station grid-connected performance indexes of each region according to the received output result of the regional operation risk judging module of the power grid;
The index correction module is used for: carrying out manual correction or self-adaptive correction on the received output result of the support vector machine module, and outputting the result to a grid-connected performance index comprehensive evaluation module;
the grid-connected performance index comprehensive evaluation module is used for: according to the received new energy station operation and test data and corresponding evaluation indexes, comprehensively evaluating the grid-connected performance of the new energy station, and outputting an evaluation result to an evaluation result output and display module;
the evaluation result output and display module: and displaying the evaluation result of the new energy station, and supporting the user to conduct the custom export of the evaluation result.
2. The system for comprehensively evaluating grid-connected performance of a new energy station according to claim 1, wherein the new energy station model parameter identification and verification module is used for identifying model parameters based on test data input by establishing a new energy station model frame and automatically correcting the accuracy of the model.
3. The comprehensive evaluation system for grid-connected performance of the new energy station according to claim 1, wherein the complex working condition simulation module of the power grid constructs a simulation system by self-defining or automatically reading information of a grid frame, the new energy station, a traditional power supply and a load model according to a user from output data information of a power grid operation data interface and a new energy station model parameter identification and verification module; and carrying out electromechanical transient simulation on the running condition of the power grid through user-defined selection or automatic selection of the set power grid faults.
4. The comprehensive evaluation system for grid-connected performance of a new energy station according to claim 1, wherein the regional operation risk of the power grid is judged, a criterion is set according to the voltage, frequency and power angle stability index requirements of the power system, and the regional operation risk of the power grid is identified by scanning the output result of a complex working condition simulation module of the power grid; the new energy station grouping module is used for identifying key sections of the power grid according to the received power grid regional operation risk judgment result, dividing different power grid areas in a section cutting mode, numbering and warehousing test data of the new energy stations in the areas according to the power grid area division result.
5. The comprehensive evaluation system for grid-connected performance of a new energy station according to claim 1, wherein the support vector machine module establishes a normalized linear classification surface according to the power grid operation state samples output by the new energy station grouping module and the power grid regional operation risk judging module, and M i,Ni
ωTM+b=0(I)
M i is the i-th power grid running state, and is generally composed of key power supply output, key node voltage, key line power flow and power grid frequency/voltage/power angle stability information; n i is a mark of whether the section is a key section in the running state of the power grid, ω is a characteristic distance, and b is a sequencing variable; according to the classification intervalMaximum, the following optimization problem is established:
6. The system for comprehensively evaluating grid-connected performance of a new energy station according to claim 1, wherein the index correction module supports two modes, one is a user-defined mode and the other is an index adaptive correction mode.
7. The comprehensive evaluation system for grid-connected performance of a new energy station according to claim 1, wherein the index correction module is adapted to solve a formula (II), and in the solving process, constraint terms are relaxed, penalty terms are added at the same time, and the formula (II) is corrected by
In the formula, xi is a relaxation factor,Is a penalty term; to ensure the effect of solving the formula (III) under nonlinear data, a kernel function is introduced in the solving process.
8. The comprehensive evaluation system for grid-connected performance of a new energy station according to claim 1, wherein the comprehensive evaluation module for grid-connected performance index is characterized in that: solving the model established by the support vector machine module corrected by the index correction module, comprehensively evaluating the grid-connected performance of the new energy station, and outputting the result to the evaluation result output and display module.
9. An evaluation method applied to the grid-connected performance comprehensive evaluation system of the new energy station according to any one of claims 1-8 is characterized in that the grid-connected performance of the new energy station is comprehensively evaluated by taking the released grid-connected quantization index of the new energy station as a basis, adopting actual operation data and simulation results of the new energy station and a power grid, considering the regional power grid operation risk and establishing a support vector machine model.
10. The evaluation method of the new energy station grid-connected performance comprehensive evaluation system according to claim 9, comprising the following steps:
Step 1: establishing an electromechanical transient simulation model of the new energy station according to the key equipment test data of the new energy station;
step 2: establishing an electromechanical transient simulation model of the regional power grid containing large-scale new energy power generation according to the power grid operation data and the established new energy station model;
Step 3: simulating complex operation conditions of the power grid by setting typical faults, judging the operation risk of the power grid according to national standards, and determining the key section of the regional power grid;
Step 4: dividing a power grid region according to the key section of the regional power grid, and grouping new energy stations and warehousing test data according to the division of the region;
Step 5: establishing a new energy station comprehensive evaluation index support vector machine model suitable for the working condition of a complex power grid according to the division of the power grid areas and the running risk condition of the power grid in each area;
Step 6: correcting the support vector machine model through a user-defined or self-adaptive correction mode; default adaptive correction mode;
step 7: the operation and test data of the new energy stations in groups are used as input, and the comprehensive evaluation and sequencing of the grid connection performance of the new energy stations are realized by solving the support vector machine model, and the new energy stations are output and displayed.
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CN113269435B (en) * 2021-05-21 2023-02-17 国网山东省电力公司电力科学研究院 New energy station running state coupling monitoring and evaluating system
CN113449968B (en) * 2021-06-09 2023-08-29 重庆锦禹云能源科技有限公司 New energy power grid frequency risk assessment method and device based on deep learning
CN116054167B (en) * 2023-03-06 2023-06-06 国网山东省电力公司聊城供电公司 Power grid comprehensive dispatching management system and method based on power distribution network flexible controller

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102938093A (en) * 2012-10-18 2013-02-20 安徽工程大学 Wind power forecasting method
CN106355336A (en) * 2016-08-31 2017-01-25 许昌许继软件技术有限公司 Power generation efficiency evaluation method of photovoltaic power station
CN109242200A (en) * 2018-09-29 2019-01-18 华北电力大学 A kind of wind power interval prediction method of Bayesian network forecasting model
CN110705769A (en) * 2019-09-26 2020-01-17 国家电网公司华北分部 New energy power generation power prediction optimization method and device
CN110705771A (en) * 2019-09-26 2020-01-17 国家电网公司华北分部 Method and device for predicting and optimizing power generation power of new energy of regional power grid

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102622458B (en) * 2011-01-30 2013-07-31 华锐风电科技(集团)股份有限公司 Wind generating set vibration and load integration evaluating system and evaluation method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102938093A (en) * 2012-10-18 2013-02-20 安徽工程大学 Wind power forecasting method
CN106355336A (en) * 2016-08-31 2017-01-25 许昌许继软件技术有限公司 Power generation efficiency evaluation method of photovoltaic power station
CN109242200A (en) * 2018-09-29 2019-01-18 华北电力大学 A kind of wind power interval prediction method of Bayesian network forecasting model
CN110705769A (en) * 2019-09-26 2020-01-17 国家电网公司华北分部 New energy power generation power prediction optimization method and device
CN110705771A (en) * 2019-09-26 2020-01-17 国家电网公司华北分部 Method and device for predicting and optimizing power generation power of new energy of regional power grid

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于智能电网调度控制系统基础平台的新能源优化调度;刘纯 等;《电力系统自动化》;第第39卷卷(第第1期期);第1-5页 *
自动化新能源场站运行评价专家系统可行性研究;王明松等;《内燃机与配件》;第1-2页 *

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