Distributed secondary optimal control for self‐maintaining microgrids on pelagic islands
Abstract Considering the geographic distance, self‐maintaining microgrids are widely built to supply power on pelagic islands, where developing distributed autonomous control strategies while guaranteeing microgrids’ resilience and energy security have gained increasing attention. However, most exis...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-09-01
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| Series: | IET Renewable Power Generation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rpg2.12751 |
| _version_ | 1827825208255315968 |
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| author | Sicheng Deng Laijun Chen Baosen Zhang Wenkai Yuan Shengwei Mei |
| author_facet | Sicheng Deng Laijun Chen Baosen Zhang Wenkai Yuan Shengwei Mei |
| author_sort | Sicheng Deng |
| collection | DOAJ |
| description | Abstract Considering the geographic distance, self‐maintaining microgrids are widely built to supply power on pelagic islands, where developing distributed autonomous control strategies while guaranteeing microgrids’ resilience and energy security have gained increasing attention. However, most existing distributed control strategies restore frequencies in an asymptotic manner, which may not meet the requirement for safe and rapid recovery after disasters. Meanwhile, self‐maintaining microgrids have relatively low percentages of fossil fuels. Power sharing among distributed energy sources (DERs) under most existing control relies on the droop coefficients, which may lead to inefficient operations. To overcome these challenges, this paper proposed a distributed control strategy for self‐maintaining microgrids. The frequency restoration time can be explicitly optimized and is robust to changes of system states, which provides faster recovery performance under disasters. The steady‐state powers of different DERs are regulated for different kinds of DERs separately and are independent of the droop coefficients, where the proper use of renewable energy under energy security can be achieved. The proposed control enhances the resilience of microgrids against disasters and meets the requirement of energy security on islands. The algorithms in the paper are verified by both simulation and experiment studies under various conditions. |
| first_indexed | 2024-03-12T02:38:51Z |
| format | Article |
| id | doaj.art-f7d9ff5336a4493ca9ec3199553dbaf6 |
| institution | Directory Open Access Journal |
| issn | 1752-1416 1752-1424 |
| language | English |
| last_indexed | 2024-03-12T02:38:51Z |
| publishDate | 2023-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj.art-f7d9ff5336a4493ca9ec3199553dbaf62023-09-04T09:41:28ZengWileyIET Renewable Power Generation1752-14161752-14242023-09-0117123049306210.1049/rpg2.12751Distributed secondary optimal control for self‐maintaining microgrids on pelagic islandsSicheng Deng0Laijun Chen1Baosen Zhang2Wenkai Yuan3Shengwei Mei4The State Key Laboratory of Power Systems Department of Electrical Engineering and Applied Electronic Technology Tsinghua University Beijing ChinaThe State Key Laboratory of Power Systems Department of Electrical Engineering and Applied Electronic Technology Tsinghua University Beijing ChinaThe Department of Electrical and Computer Engineering University of Washington Seattle Washington USAThe State Key Laboratory of Power Systems Department of Electrical Engineering and Applied Electronic Technology Tsinghua University Beijing ChinaThe State Key Laboratory of Power Systems Department of Electrical Engineering and Applied Electronic Technology Tsinghua University Beijing ChinaAbstract Considering the geographic distance, self‐maintaining microgrids are widely built to supply power on pelagic islands, where developing distributed autonomous control strategies while guaranteeing microgrids’ resilience and energy security have gained increasing attention. However, most existing distributed control strategies restore frequencies in an asymptotic manner, which may not meet the requirement for safe and rapid recovery after disasters. Meanwhile, self‐maintaining microgrids have relatively low percentages of fossil fuels. Power sharing among distributed energy sources (DERs) under most existing control relies on the droop coefficients, which may lead to inefficient operations. To overcome these challenges, this paper proposed a distributed control strategy for self‐maintaining microgrids. The frequency restoration time can be explicitly optimized and is robust to changes of system states, which provides faster recovery performance under disasters. The steady‐state powers of different DERs are regulated for different kinds of DERs separately and are independent of the droop coefficients, where the proper use of renewable energy under energy security can be achieved. The proposed control enhances the resilience of microgrids against disasters and meets the requirement of energy security on islands. The algorithms in the paper are verified by both simulation and experiment studies under various conditions.https://doi.org/10.1049/rpg2.12751distributed controlfrequency controlmicrogrids |
| spellingShingle | Sicheng Deng Laijun Chen Baosen Zhang Wenkai Yuan Shengwei Mei Distributed secondary optimal control for self‐maintaining microgrids on pelagic islands IET Renewable Power Generation distributed control frequency control microgrids |
| title | Distributed secondary optimal control for self‐maintaining microgrids on pelagic islands |
| title_full | Distributed secondary optimal control for self‐maintaining microgrids on pelagic islands |
| title_fullStr | Distributed secondary optimal control for self‐maintaining microgrids on pelagic islands |
| title_full_unstemmed | Distributed secondary optimal control for self‐maintaining microgrids on pelagic islands |
| title_short | Distributed secondary optimal control for self‐maintaining microgrids on pelagic islands |
| title_sort | distributed secondary optimal control for self maintaining microgrids on pelagic islands |
| topic | distributed control frequency control microgrids |
| url | https://doi.org/10.1049/rpg2.12751 |
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