Intelligent load frequency control for improving wind power penetration in power systems
After wind power is connected to the grid, because the power of wind power will fluctuate greatly, the frequency deviation of the grid will increase with access to wind power generation, then the challenge of frequency control in power grid is also increasing. The Load frequency control(LFC) is one...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2023-09-01
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Series: | Energy Reports |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723004560 |
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author | Zhiwei Wang Dexin Li Xiangyu Lyu Song Gao Changhong Fu Shishuai Zhu Bo Wang |
author_facet | Zhiwei Wang Dexin Li Xiangyu Lyu Song Gao Changhong Fu Shishuai Zhu Bo Wang |
author_sort | Zhiwei Wang |
collection | DOAJ |
description | After wind power is connected to the grid, because the power of wind power will fluctuate greatly, the frequency deviation of the grid will increase with access to wind power generation, then the challenge of frequency control in power grid is also increasing. The Load frequency control(LFC) is one of the important components of frequency control, the fluctuation of wind power output of the system will put forward a higher demand for load frequency control (LFC) of the power grid so as to increase the proportion of wind power in the system. In this paper, a PI controller whose parameters are set by an intelligent cloud calculation result is designed for LFC of the interconnected power system with large-scale wind power. The parameters in PI controller are obtained through the cloud model whose inputs are the control error and the corresponding rate of change so as to realize the adaptive tuning. The subordinate cloud parameters are designed considering randomness of wind power, which effectively solves the problems of poor parameter robustness in traditional PI control. The simulation of the two-area interconnection system with wind power is carried out to verify the effectiveness of the proposed method in the case of random wind power. |
first_indexed | 2024-03-12T02:22:16Z |
format | Article |
id | doaj.art-8d176e65c5a34528a8d6da078b38deec |
institution | Directory Open Access Journal |
issn | 2352-4847 |
language | English |
last_indexed | 2024-03-12T02:22:16Z |
publishDate | 2023-09-01 |
publisher | Elsevier |
record_format | Article |
series | Energy Reports |
spelling | doaj.art-8d176e65c5a34528a8d6da078b38deec2023-09-06T04:51:43ZengElsevierEnergy Reports2352-48472023-09-01912251234Intelligent load frequency control for improving wind power penetration in power systemsZhiwei Wang0Dexin Li1Xiangyu Lyu2Song Gao3Changhong Fu4Shishuai Zhu5Bo Wang6State Grid Jilinsheng Electric Power Supply Company, Changchun 130022, ChinaState Grid Jilinsheng Electric Power Supply Company Electric Power Institute, Changchun 130021, ChinaState Grid Jilinsheng Electric Power Supply Company Electric Power Institute, Changchun 130021, ChinaState Grid Jilinsheng Electric Power Supply Company Electric Power Institute, Changchun 130021, ChinaSchool of Electrical Engineering Northeast Electric Power University, Jilin 132012, China; Corresponding author.School of Electrical Engineering Northeast Electric Power University, Jilin 132012, ChinaSchool of Electrical Engineering Northeast Electric Power University, Jilin 132012, ChinaAfter wind power is connected to the grid, because the power of wind power will fluctuate greatly, the frequency deviation of the grid will increase with access to wind power generation, then the challenge of frequency control in power grid is also increasing. The Load frequency control(LFC) is one of the important components of frequency control, the fluctuation of wind power output of the system will put forward a higher demand for load frequency control (LFC) of the power grid so as to increase the proportion of wind power in the system. In this paper, a PI controller whose parameters are set by an intelligent cloud calculation result is designed for LFC of the interconnected power system with large-scale wind power. The parameters in PI controller are obtained through the cloud model whose inputs are the control error and the corresponding rate of change so as to realize the adaptive tuning. The subordinate cloud parameters are designed considering randomness of wind power, which effectively solves the problems of poor parameter robustness in traditional PI control. The simulation of the two-area interconnection system with wind power is carried out to verify the effectiveness of the proposed method in the case of random wind power.http://www.sciencedirect.com/science/article/pii/S2352484723004560Wind powerLoad frequency controlPI controlCloud modelInterconnected power system |
spellingShingle | Zhiwei Wang Dexin Li Xiangyu Lyu Song Gao Changhong Fu Shishuai Zhu Bo Wang Intelligent load frequency control for improving wind power penetration in power systems Energy Reports Wind power Load frequency control PI control Cloud model Interconnected power system |
title | Intelligent load frequency control for improving wind power penetration in power systems |
title_full | Intelligent load frequency control for improving wind power penetration in power systems |
title_fullStr | Intelligent load frequency control for improving wind power penetration in power systems |
title_full_unstemmed | Intelligent load frequency control for improving wind power penetration in power systems |
title_short | Intelligent load frequency control for improving wind power penetration in power systems |
title_sort | intelligent load frequency control for improving wind power penetration in power systems |
topic | Wind power Load frequency control PI control Cloud model Interconnected power system |
url | http://www.sciencedirect.com/science/article/pii/S2352484723004560 |
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