Distributed Coordination Control Strategy for a Multi-Microgrid Based on a Consensus Algorithm
Microgrids (MGs) in which power generation and consumption occur locally have gained prominence, and MG demonstration tests have been widely carried out. In accordance with the increase in the number of MG installations, studies regarding the cooperative control of multiple MGs are proceeding in var...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/10/7/1017 |
| _version_ | 1811298809461866496 |
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| author | Sang-Ji Lee Jin-Young Choi Hyung-Joo Lee Dong-Jun Won |
| author_facet | Sang-Ji Lee Jin-Young Choi Hyung-Joo Lee Dong-Jun Won |
| author_sort | Sang-Ji Lee |
| collection | DOAJ |
| description | Microgrids (MGs) in which power generation and consumption occur locally have gained prominence, and MG demonstration tests have been widely carried out. In accordance with the increase in the number of MG installations, studies regarding the cooperative control of multiple MGs are proceeding in various forms. In this paper, the distributed control strategy of a multi-microgrid (MMG) is proposed. Distributed control is the method in which agents of the electric power facility autonomously control their facility through communication with the neighboring agents only. In this process, a consensus algorithm is utilized to obtain the global information required to control the overall system. In this distributed control strategy, a single MG is operated at an optimal economic point using the equality incremental cost constraints while maintaining the balance between the generation and demand. The control strategy of a MMG is that the flow of the point of common coupling (PCC) is maintained at a particular value needed by the utility and the internal change in power is distributed to the MGs according to their reserves. The proposed algorithm is verified in the MG level and the MMG level through a simulation model using PSCAD/EMTDC software in the C language. |
| first_indexed | 2024-04-13T06:24:53Z |
| format | Article |
| id | doaj.art-9c75aa638b78455bb518c561434a7979 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T06:24:53Z |
| publishDate | 2017-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9c75aa638b78455bb518c561434a79792022-12-22T02:58:28ZengMDPI AGEnergies1996-10732017-07-01107101710.3390/en10071017en10071017Distributed Coordination Control Strategy for a Multi-Microgrid Based on a Consensus AlgorithmSang-Ji Lee0Jin-Young Choi1Hyung-Joo Lee2Dong-Jun Won3Central Area Branch Office, KPX, 32, Yongam 6-gil, Buk-myeon, Dongnam-gu, Cheonan-si, Chungcheongnam-do 31242, KoreaLG CNS, 28F, FKI Tower, 24, Yeoui-daero, Yeongdeungpo-gu, Seoul 07320, KoreaDepartment of Electrical Engineering, Inha University, 100, Inha-ro, Nam-gu, Incheon 22212, KoreaDepartment of Electrical Engineering, Inha University, 100, Inha-ro, Nam-gu, Incheon 22212, KoreaMicrogrids (MGs) in which power generation and consumption occur locally have gained prominence, and MG demonstration tests have been widely carried out. In accordance with the increase in the number of MG installations, studies regarding the cooperative control of multiple MGs are proceeding in various forms. In this paper, the distributed control strategy of a multi-microgrid (MMG) is proposed. Distributed control is the method in which agents of the electric power facility autonomously control their facility through communication with the neighboring agents only. In this process, a consensus algorithm is utilized to obtain the global information required to control the overall system. In this distributed control strategy, a single MG is operated at an optimal economic point using the equality incremental cost constraints while maintaining the balance between the generation and demand. The control strategy of a MMG is that the flow of the point of common coupling (PCC) is maintained at a particular value needed by the utility and the internal change in power is distributed to the MGs according to their reserves. The proposed algorithm is verified in the MG level and the MMG level through a simulation model using PSCAD/EMTDC software in the C language.https://www.mdpi.com/1996-1073/10/7/1017consensus algorithmdistributed controlmicrogridmulti agent systemmulti-microgrid |
| spellingShingle | Sang-Ji Lee Jin-Young Choi Hyung-Joo Lee Dong-Jun Won Distributed Coordination Control Strategy for a Multi-Microgrid Based on a Consensus Algorithm Energies consensus algorithm distributed control microgrid multi agent system multi-microgrid |
| title | Distributed Coordination Control Strategy for a Multi-Microgrid Based on a Consensus Algorithm |
| title_full | Distributed Coordination Control Strategy for a Multi-Microgrid Based on a Consensus Algorithm |
| title_fullStr | Distributed Coordination Control Strategy for a Multi-Microgrid Based on a Consensus Algorithm |
| title_full_unstemmed | Distributed Coordination Control Strategy for a Multi-Microgrid Based on a Consensus Algorithm |
| title_short | Distributed Coordination Control Strategy for a Multi-Microgrid Based on a Consensus Algorithm |
| title_sort | distributed coordination control strategy for a multi microgrid based on a consensus algorithm |
| topic | consensus algorithm distributed control microgrid multi agent system multi-microgrid |
| url | https://www.mdpi.com/1996-1073/10/7/1017 |
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