Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration
Abstract This paper addresses the challenge of maximizing power capture from new energy sources, including coal, wind, solar, and hydroelectric power, which often lack sufficient inertia support. This deficiency can lead to frequency instability and cascading failures within the power system. A coop...
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| Format: | Article |
| Language: | English |
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Wiley
2024-11-01
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| Series: | IET Generation, Transmission & Distribution |
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| Online Access: | https://doi.org/10.1049/gtd2.13299 |
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| _version_ | 1846170916432642048 |
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| author | Qinglin Meng Xinyu Tong Sheharyar Hussain Fengzhang Luo Fei Zhou Ying He Lei Liu Bing Sun Botong Li |
| author_facet | Qinglin Meng Xinyu Tong Sheharyar Hussain Fengzhang Luo Fei Zhou Ying He Lei Liu Bing Sun Botong Li |
| author_sort | Qinglin Meng |
| collection | DOAJ |
| description | Abstract This paper addresses the challenge of maximizing power capture from new energy sources, including coal, wind, solar, and hydroelectric power, which often lack sufficient inertia support. This deficiency can lead to frequency instability and cascading failures within the power system. A cooperative optimization model for the start‐up of multiple power supplies, designed to enhance the integration of new energy sources while maintaining system stability is proposed. The model incorporates primary frequency modulation and the intrinsic inertia support capabilities of self‐synchronous voltage source field stations, considering dynamic frequency constraints. Additionally, it employs new energy units with primary frequency modulation to provide inertia support during curtailment, particularly when conventional units cannot meet frequency standards due to existing constraints. Extensive simulations and comparative analyses demonstrate that the proposed model improves new energy utilization by up to 37.5% and reduces operational costs by approximately 16%, enhancing overall operational efficiency in high energy consumption scenarios. |
| format | Article |
| id | doaj-art-9745c1b17bd54ed48316db8d6a37ca32 |
| institution | Kabale University |
| issn | 1751-8687 1751-8695 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj-art-9745c1b17bd54ed48316db8d6a37ca322024-11-11T11:03:12ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952024-11-0118213487350010.1049/gtd2.13299Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integrationQinglin Meng0Xinyu Tong1Sheharyar Hussain2Fengzhang Luo3Fei Zhou4Ying He5Lei Liu6Bing Sun7Botong Li8State Grid Tianjin Electric Power Company State Grid Corporation of China Tianjin ChinaState Grid Tianjin Electric Power Company State Grid Corporation of China Tianjin ChinaThe Institute of Marine Electronic and Intelligent System Zhejiang University Zhoushan ChinaSchool of Electrical and Information Engineering Tianjin University Tianjin ChinaInstitute of Computing and Application China Electric Power Research Institute Beijing ChinaGreen Power Research Institute Tianjin Renai College Tianjin ChinaState Grid Tianjin Electric Power Company State Grid Corporation of China Tianjin ChinaSchool of Electrical and Information Engineering Tianjin University Tianjin ChinaSchool of Electrical and Information Engineering Tianjin University Tianjin ChinaAbstract This paper addresses the challenge of maximizing power capture from new energy sources, including coal, wind, solar, and hydroelectric power, which often lack sufficient inertia support. This deficiency can lead to frequency instability and cascading failures within the power system. A cooperative optimization model for the start‐up of multiple power supplies, designed to enhance the integration of new energy sources while maintaining system stability is proposed. The model incorporates primary frequency modulation and the intrinsic inertia support capabilities of self‐synchronous voltage source field stations, considering dynamic frequency constraints. Additionally, it employs new energy units with primary frequency modulation to provide inertia support during curtailment, particularly when conventional units cannot meet frequency standards due to existing constraints. Extensive simulations and comparative analyses demonstrate that the proposed model improves new energy utilization by up to 37.5% and reduces operational costs by approximately 16%, enhancing overall operational efficiency in high energy consumption scenarios.https://doi.org/10.1049/gtd2.13299high proportion of renewable energyinertia supportreinforcement learningprimary frequency modulationmulti‐power supplycollaborative optimization |
| spellingShingle | Qinglin Meng Xinyu Tong Sheharyar Hussain Fengzhang Luo Fei Zhou Ying He Lei Liu Bing Sun Botong Li Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration IET Generation, Transmission & Distribution high proportion of renewable energy inertia support reinforcement learning primary frequency modulation multi‐power supply collaborative optimization |
| title | Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration |
| title_full | Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration |
| title_fullStr | Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration |
| title_full_unstemmed | Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration |
| title_short | Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration |
| title_sort | enhancing distribution system stability and efficiency through multi power supply startup optimization for new energy integration |
| topic | high proportion of renewable energy inertia support reinforcement learning primary frequency modulation multi‐power supply collaborative optimization |
| url | https://doi.org/10.1049/gtd2.13299 |
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