ADMM‐Based Distributed Algorithm for Energy Management in Multi‐Microgrid System
This article focuses on Energy Management Problem (EMP) in Muti‐microgrid systems. Each microgrid (MG) has four basic equipments including Renewable Generator (RG), Fuel Generator (FG), Storage Device (SD) and Smart Load (SL). In consideration of equipment capacity, confidence interval for forecasts...
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| Vydáno v: | IEEJ Transactions on Electrical and Electronic Engineering Ročník 19; číslo 1; s. 79 - 89 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina japonština |
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Hoboken, USA
Wiley
01.01.2024
John Wiley & Sons, Inc Wiley Subscription Services, Inc |
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| ISSN: | 1931-4973, 1931-4981 |
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| Abstract | This article focuses on Energy Management Problem (EMP) in Muti‐microgrid systems. Each microgrid (MG) has four basic equipments including Renewable Generator (RG), Fuel Generator (FG), Storage Device (SD) and Smart Load (SL). In consideration of equipment capacity, confidence interval for forecasts of RG output, supply–demand balance and other factors, an optimization model with the objective of minimizing operation cost was established. Through Lagrange dual problem and variable substitution, we transform the centralized problem into an equivalent distributed form. Then, a completely distributed algorithm based on Alternating Direction Method of Multipliers (ADMM) and Average Consensus (AC) is proposed to attain a global optimal schedule plan. The algorithm overcomes the defect that each microgrid needs to know the total must‐run load in advance. At the same time, the electricity clearing price is related to the objective function through Lagrange dual variables, which can be obtained while the optimal plan is determined. Finally, the simulation verifies the convergence of the algorithm, and the calculated optimal cost is the same as that of the centralized method, ensuring its effectiveness. Besides, the algorithm also has good performance in plug‐and‐play scenarios. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC. |
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| AbstractList | This article focuses on Energy Management Problem (EMP) in Muti‐microgrid systems. Each microgrid (MG) has four basic equipments including Renewable Generator (RG), Fuel Generator (FG), Storage Device (SD) and Smart Load (SL). In consideration of equipment capacity, confidence interval for forecasts of RG output, supply–demand balance and other factors, an optimization model with the objective of minimizing operation cost was established. Through Lagrange dual problem and variable substitution, we transform the centralized problem into an equivalent distributed form. Then, a completely distributed algorithm based on Alternating Direction Method of Multipliers (ADMM) and Average Consensus (AC) is proposed to attain a global optimal schedule plan. The algorithm overcomes the defect that each microgrid needs to know the total must‐run load in advance. At the same time, the electricity clearing price is related to the objective function through Lagrange dual variables, which can be obtained while the optimal plan is determined. Finally, the simulation verifies the convergence of the algorithm, and the calculated optimal cost is the same as that of the centralized method, ensuring its effectiveness. Besides, the algorithm also has good performance in plug‐and‐play scenarios. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC. |
| Author | Huen Lou Shigeru Fujimura |
| Author_xml | – sequence: 1 givenname: Huen surname: Lou fullname: Lou, Huen email: lou-huen@ruri.waseda.jp organization: Production and Systems, Waseda University, 2‐7, Hibikino, Wakamatsu‐ku – sequence: 2 givenname: Shigeru surname: Fujimura fullname: Fujimura, Shigeru organization: Production and Systems, Waseda University, 2‐7, Hibikino, Wakamatsu‐ku |
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| Cites_doi | 10.1109/TIE.2018.2874578 10.1016/j.apenergy.2015.04.083 10.1109/TII.2017.2714199 10.1109/TSG.2022.3141236 10.14257/ijfgcn.2017.10.9.09 10.1109/TIA.2020.3049117 10.1109/TSTE.2018.2846279 10.1002/oca.2538 10.1109/TIE.2017.2698425 10.1002/etep.2634 10.1007/s40565-014-0065-z 10.1109/TPWRS.2014.2361094 10.1109/TIA.2017.2782671 10.1109/TSG.2012.2223766 10.1109/TSP.2014.2304432 10.1017/CBO9780511804441 10.1109/TII.2020.3029974 10.1016/j.epsr.2020.106758 10.1109/TSG.2015.2437795 10.1109/TIE.2014.2356171 10.1049/iet-gtd.2015.0209 10.3390/en11092381 10.3390/en13174494 10.1016/j.apenergy.2016.02.096 10.3390/en11113174 10.1016/j.apenergy.2020.115742 10.1016/j.apenergy.2018.12.061 10.1007/978-3-030-23723-3_20 10.1109/TPWRS.2014.2376935 10.1109/ACCESS.2021.3119270 10.3390/en12193701 10.1109/TSG.2018.2822276 |
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| SubjectTerms | Algorithms distributed algorithm Distributed generation Electrical loads Energy management energy management problem microgrid Optimization models Supply & demand |
| Title | ADMM‐Based Distributed Algorithm for Energy Management in Multi‐Microgrid System |
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