The Control Method that Load Respond to Distributed Generation Fluctuation in Microgrid Based on Image Matching
In order to improve the performance of intelligent regulation and control of microgrid, the load response distributed power fluctuation control method of microgrid based on image matching was proposed based on data-driven idea and artificial intelligence technology in view of the problem of load reg...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2022-03-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202102029 |
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| Summary: | In order to improve the performance of intelligent regulation and control of microgrid, the load response distributed power fluctuation control method of microgrid based on image matching was proposed based on data-driven idea and artificial intelligence technology in view of the problem of load regulation strategy development of microgrid.Firstly, based on the multi-dimensional operation data of distributed power supply and adjustable load, a comprehensive source and load characteristic image of the microgrid in the next regulation period is constructed. Furthermore, the image similarity matching algorithm based on K-SURF for the comprehensive characteristics of source and charge of microgrid is proposed, so as to draw on the regulation strategy of microgrid with similar operating state in history to formulate the regulation strategy for the next cycle load response of distributed power generation. The simulation results of a typical microgrid example show that the proposed image similarity matching method can effectively search for the most similar historical operating state, and the load control strategy formulated by referring to the historical similar operating state control strategy can effectively track the fluctuation of renewable energy output. Improved the local consumption capacity of renewable energy in the microgrid. |
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| ISSN: | 1004-9649 |