Comprehensive evaluation model of wind power accommodation ability based on macroscopic and microscopic indicators
Original Research|更新时间:2026-09-30
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Comprehensive evaluation model of wind power accommodation ability based on macroscopic and microscopic indicators
Comprehensive evaluation model of windpower accommodation ability based onmacroscopic and microscopic indicators
现代电力系统保护与控制(英文)2019年4卷第3期 页码:1-12
作者机构:
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, Changping District, People's Republic of China
Gengyin Li, Guodong Li, Ming Zhou. Comprehensive evaluation model of wind power accommodation ability based on macroscopic and microscopic indicators[J]. 现代电力系统保护与控制(英文), 2019,4(3):1-12.
Gengyin Li, Guodong Li, Ming Zhou. Comprehensive evaluation model of windpower accommodation ability based onmacroscopic and microscopic indicators[J]. Protection and Control of Modern Power Systems, 2019, 4(3): 1-12.
Gengyin Li, Guodong Li, Ming Zhou. Comprehensive evaluation model of wind power accommodation ability based on macroscopic and microscopic indicators[J]. 现代电力系统保护与控制(英文), 2019,4(3):1-12.DOI: 10.1186/s41601-019-0132-6.
Gengyin Li, Guodong Li, Ming Zhou. Comprehensive evaluation model of windpower accommodation ability based onmacroscopic and microscopic indicators[J]. Protection and Control of Modern Power Systems, 2019, 4(3): 1-12.DOI: 10.1186/s41601-019-0132-6.
Comprehensive evaluation model of wind power accommodation ability based on macroscopic and microscopic indicators
摘要
This article explores and establishes comprehensive evaluation index system of wind power accommodation ability considering microscopic index and macroscopic index
and the index system includes conventional evaluation indexes such as forecast deviation
simultaneity factor and anti-peak rate
also newly introduced evaluation indexes such as installed capacity
power adequacy and accommodation space. Bayesian weight modified method is used for solving index weights of 8 wind power accommodation indexes. The paper puts forward a comprehensive evaluation model of wind power accommodation ability based on improved radar chart method
and this model changes traditional radar chart fan-shaped sector to quadrilateral evaluation region
and increasing angle bisector can solve the problem that evaluation results are not unique. It constructs new area and perimeter vectors of radar chart
which make the evaluation results give consideration to level of aggregation and balance degree of evaluation objectives
and case study results show that this model has a certain practical value.
Abstract
This article explores and establishes comprehensive evaluation index system of wind power accommodation ability considering microscopic index and macroscopic index
and the index system includes conventional evaluation indexes such as forecast deviation
simultaneity factor and anti-peak rate
also newly introduced evaluation indexes such as installed capacity
power adequacy and accommodation space. Bayesian weight modified method is used for solving index weights of 8 wind power accommodation indexes. The paper puts forward a comprehensive evaluation model of wind power accommodation ability based on improved radar chart method
and this model changes traditional radar chart fan-shaped sector to quadrilateral evaluation region
and increasing angle bisector can solve the problem that evaluation results are not unique. It constructs new area and perimeter vectors of radar chart
which make the evaluation results give consideration to level of aggregation and balance degree of evaluation objectives
and case study results show that this model has a certain practical value.
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相关作者
Junhui Li
Gang Mu
Jiahui Zhang
Cuiping Li
Gangui Yan
Haotian Zhang
Guohang Chen
Yanxu Chen
相关机构
Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
State Grid Zhejiang Pinghu City Electric Power Supply Company. LTD., Pinghu
College of Information and Electrical Engineering, China Agricultural University
The National Key Laboratory of Renewable Energy Grid-Integration, China Electric Power Research Institute
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University