Distributed Control in Hybrid AC-DC Microgrids Based on a Hybrid MCSA-ADMM Algorithm
This paper proposes an effective framework for optimal operation management of hybrid AC-DC microgrids incorporating both dispatchable and non-dispatchable energy sources as well as battery storage. The proposed method is constructed based on a fully distributed consensus-based structure making use...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Open Journal of Industry Applications |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9411683/ |
| _version_ | 1819105563461550080 |
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| author | Behnaz Papari Gokhan Ozkan Huu P. Hoang Payam Ramezani Badr Christopher S. Edrington Hesam Parvaneh Robert Cox |
| author_facet | Behnaz Papari Gokhan Ozkan Huu P. Hoang Payam Ramezani Badr Christopher S. Edrington Hesam Parvaneh Robert Cox |
| author_sort | Behnaz Papari |
| collection | DOAJ |
| description | This paper proposes an effective framework for optimal operation management of hybrid AC-DC microgrids incorporating both dispatchable and non-dispatchable energy sources as well as battery storage. The proposed method is constructed based on a fully distributed consensus-based structure making use of a multi-agent mechanism and alternating direction method of multipliers (ADMM). The proposed framework decomposes the microgrid into several agents within which the neighboring agents share the consensus variable (mismatch power flow) with each other. Each agent tries to minimize its own cost based on the consensus variable value received from the other agents. An augmented objective function is then formulated which is nonlinear and needs to be optimized. Due to the high nonlinearity of the objective function, a new optimization method based on crow search algorithm (CSA) is developed to find the optimal local solutions for each agent and drive the ADMM to have a mature convergence. A modified method based on crossover and mutation operators is introduced to increase the search ability of CSA. The performance of the proposed framework is assessed using a typical hybrid AC-DC microgrid with distributed energy resources. The simulation results show the high efficacy of the proposed method in comparison with other methods. |
| first_indexed | 2024-12-22T02:24:14Z |
| format | Article |
| id | doaj.art-7ef937457aa94beeabbf68bac6077314 |
| institution | Directory Open Access Journal |
| issn | 2644-1241 |
| language | English |
| last_indexed | 2024-12-22T02:24:14Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Industry Applications |
| spelling | doaj.art-7ef937457aa94beeabbf68bac60773142022-12-21T18:42:03ZengIEEEIEEE Open Journal of Industry Applications2644-12412021-01-01212113010.1109/OJIA.2021.30750569411683Distributed Control in Hybrid AC-DC Microgrids Based on a Hybrid MCSA-ADMM AlgorithmBehnaz Papari0https://orcid.org/0000-0002-9733-9478Gokhan Ozkan1https://orcid.org/0000-0002-2885-9621Huu P. Hoang2https://orcid.org/0000-0002-9174-7470Payam Ramezani Badr3Christopher S. Edrington4https://orcid.org/0000-0001-8883-834XHesam Parvaneh5Robert Cox6Energy Production and Infrastructure Center, University of North Carolina at Charlotte, Charlotte, NC, USAHolcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USAHolcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USAHolcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USAHolcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USAShahid Beheshti University, Tehran, IranEnergy Production and Infrastructure Center, University of North Carolina at Charlotte, Charlotte, NC, USAThis paper proposes an effective framework for optimal operation management of hybrid AC-DC microgrids incorporating both dispatchable and non-dispatchable energy sources as well as battery storage. The proposed method is constructed based on a fully distributed consensus-based structure making use of a multi-agent mechanism and alternating direction method of multipliers (ADMM). The proposed framework decomposes the microgrid into several agents within which the neighboring agents share the consensus variable (mismatch power flow) with each other. Each agent tries to minimize its own cost based on the consensus variable value received from the other agents. An augmented objective function is then formulated which is nonlinear and needs to be optimized. Due to the high nonlinearity of the objective function, a new optimization method based on crow search algorithm (CSA) is developed to find the optimal local solutions for each agent and drive the ADMM to have a mature convergence. A modified method based on crossover and mutation operators is introduced to increase the search ability of CSA. The performance of the proposed framework is assessed using a typical hybrid AC-DC microgrid with distributed energy resources. The simulation results show the high efficacy of the proposed method in comparison with other methods.https://ieeexplore.ieee.org/document/9411683/Alternating Direction Method of MultipliersDistributed ControlEmissionHybrid MicrogridMulti-AgentOptimization Algorithm |
| spellingShingle | Behnaz Papari Gokhan Ozkan Huu P. Hoang Payam Ramezani Badr Christopher S. Edrington Hesam Parvaneh Robert Cox Distributed Control in Hybrid AC-DC Microgrids Based on a Hybrid MCSA-ADMM Algorithm IEEE Open Journal of Industry Applications Alternating Direction Method of Multipliers Distributed Control Emission Hybrid Microgrid Multi-Agent Optimization Algorithm |
| title | Distributed Control in Hybrid AC-DC Microgrids Based on a Hybrid MCSA-ADMM Algorithm |
| title_full | Distributed Control in Hybrid AC-DC Microgrids Based on a Hybrid MCSA-ADMM Algorithm |
| title_fullStr | Distributed Control in Hybrid AC-DC Microgrids Based on a Hybrid MCSA-ADMM Algorithm |
| title_full_unstemmed | Distributed Control in Hybrid AC-DC Microgrids Based on a Hybrid MCSA-ADMM Algorithm |
| title_short | Distributed Control in Hybrid AC-DC Microgrids Based on a Hybrid MCSA-ADMM Algorithm |
| title_sort | distributed control in hybrid ac dc microgrids based on a hybrid mcsa admm algorithm |
| topic | Alternating Direction Method of Multipliers Distributed Control Emission Hybrid Microgrid Multi-Agent Optimization Algorithm |
| url | https://ieeexplore.ieee.org/document/9411683/ |
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