Multi-Objective Coordinated Optimization Method of Active and Reactive Power Considering Power Characteristics of Renewable Energy Converters
In new power systems with a high proportion of renewable energy, optimization criteria based solely on economic efficiency or system stability may lead to a reduction in the static stability domain of the system or lead to long-term deviations from economic operation, thus reducing the overall appli...
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2024-12-01
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author | Xuebin Wang Guobin Fu Yanbo Chen Rui Song Haibin Sun Jiahao Ma Tao Huang |
author_facet | Xuebin Wang Guobin Fu Yanbo Chen Rui Song Haibin Sun Jiahao Ma Tao Huang |
author_sort | Xuebin Wang |
collection | DOAJ |
description | In new power systems with a high proportion of renewable energy, optimization criteria based solely on economic efficiency or system stability may lead to a reduction in the static stability domain of the system or lead to long-term deviations from economic operation, thus reducing the overall applicability of such methods. This paper proposes a multi-objective active–reactive power coordinated optimization model that considers both economic efficiency and static stability indicators. The goal of the model is to minimize operating costs while optimizing static stability margins. It combines the reactive power support capabilities of converters and other reactive power compensation equipment to ensure safe and economical dispatch of the system. The proposed method is verified through a case study, which shows that this method can make full use of the potential reactive power regulation capability of the converter. At the same time, the economics and stability of the system are significantly improved by using this method. The overall improvement is about is 12.3%. |
format | Article |
id | doaj-art-3fb6594ddb2b4e23bae3e0f2879e6bef |
institution | Kabale University |
issn | 1996-1073 |
language | English |
publishDate | 2024-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj-art-3fb6594ddb2b4e23bae3e0f2879e6bef2024-12-27T14:23:37ZengMDPI AGEnergies1996-10732024-12-011724637010.3390/en17246370Multi-Objective Coordinated Optimization Method of Active and Reactive Power Considering Power Characteristics of Renewable Energy ConvertersXuebin Wang0Guobin Fu1Yanbo Chen2Rui Song3Haibin Sun4Jiahao Ma5Tao Huang6State Grid Qinghai Electric Power Company Electric Power Research Institute, Xining 810000, ChinaState Grid Qinghai Electric Power Company Electric Power Research Institute, Xining 810000, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102200, ChinaState Grid Qinghai Electric Power Company Electric Power Research Institute, Xining 810000, ChinaState Grid Qinghai Electric Power Company Electric Power Research Institute, Xining 810000, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102200, ChinaSchool of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102200, ChinaIn new power systems with a high proportion of renewable energy, optimization criteria based solely on economic efficiency or system stability may lead to a reduction in the static stability domain of the system or lead to long-term deviations from economic operation, thus reducing the overall applicability of such methods. This paper proposes a multi-objective active–reactive power coordinated optimization model that considers both economic efficiency and static stability indicators. The goal of the model is to minimize operating costs while optimizing static stability margins. It combines the reactive power support capabilities of converters and other reactive power compensation equipment to ensure safe and economical dispatch of the system. The proposed method is verified through a case study, which shows that this method can make full use of the potential reactive power regulation capability of the converter. At the same time, the economics and stability of the system are significantly improved by using this method. The overall improvement is about is 12.3%.https://www.mdpi.com/1996-1073/17/24/6370new power systemcoordinated optimization of active and reactive powereconomic operationstatic stability |
spellingShingle | Xuebin Wang Guobin Fu Yanbo Chen Rui Song Haibin Sun Jiahao Ma Tao Huang Multi-Objective Coordinated Optimization Method of Active and Reactive Power Considering Power Characteristics of Renewable Energy Converters Energies new power system coordinated optimization of active and reactive power economic operation static stability |
title | Multi-Objective Coordinated Optimization Method of Active and Reactive Power Considering Power Characteristics of Renewable Energy Converters |
title_full | Multi-Objective Coordinated Optimization Method of Active and Reactive Power Considering Power Characteristics of Renewable Energy Converters |
title_fullStr | Multi-Objective Coordinated Optimization Method of Active and Reactive Power Considering Power Characteristics of Renewable Energy Converters |
title_full_unstemmed | Multi-Objective Coordinated Optimization Method of Active and Reactive Power Considering Power Characteristics of Renewable Energy Converters |
title_short | Multi-Objective Coordinated Optimization Method of Active and Reactive Power Considering Power Characteristics of Renewable Energy Converters |
title_sort | multi objective coordinated optimization method of active and reactive power considering power characteristics of renewable energy converters |
topic | new power system coordinated optimization of active and reactive power economic operation static stability |
url | https://www.mdpi.com/1996-1073/17/24/6370 |
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