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    공정성을 고려한 스마트 에너지 커뮤니티를 위한 커뮤니티 태양광 구성 전략 = Community Solar Implementation Strategy for Smart Energy Community Considering Fairness

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    https://www.riss.kr/link?id=A108913178

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    In this study, a community solar implementation strategy is proposed for smart energy community that consists of energy community members (ECMs) of an energy consumption group. The community solar implementation problem is expressed as a composition problem of a community member set. The problem is well known a NP-hard in which computational complexity increases exponentially as the size of the set increases. In this study, the necessary conditions for forming an energy community set are derived through the load relationship between individual ECMs and the relationship with solar power generation. Using that, an efficient community solar implementation strategy is proposed in which the computational complexity is linearly increased with the size of the ECM set. The simulation results show that the use of the proposed strategy achieves stable performance with a marginal benefit reduction of less than 9% compared to the optimal method. In addition, it is discussed that fairness in the distribution of net benefits among ECMs can be indirectly guaranteed through the use of price factors.
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    In this study, a community solar implementation strategy is proposed for smart energy community that consists of energy community members (ECMs) of an energy consumption group. The community solar implementation problem is expressed as a composition p...

    In this study, a community solar implementation strategy is proposed for smart energy community that consists of energy community members (ECMs) of an energy consumption group. The community solar implementation problem is expressed as a composition problem of a community member set. The problem is well known a NP-hard in which computational complexity increases exponentially as the size of the set increases. In this study, the necessary conditions for forming an energy community set are derived through the load relationship between individual ECMs and the relationship with solar power generation. Using that, an efficient community solar implementation strategy is proposed in which the computational complexity is linearly increased with the size of the ECM set. The simulation results show that the use of the proposed strategy achieves stable performance with a marginal benefit reduction of less than 9% compared to the optimal method. In addition, it is discussed that fairness in the distribution of net benefits among ECMs can be indirectly guaranteed through the use of price factors.

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    참고문헌 (Reference)

    1 N. Naval, "Virtual power plant models and electricity markets-A review" 149 : 111393-, 2021

    2 R. Fu, "U.S. solar photovoltaic system cost benchmark: Q1 2018" National Renewable Energy Laboratory 2018

    3 Y. Chen, "Review of energy sharing : Business models, mechanisms, and prospects" 16 (16): 2468-2480, 2022

    4 E. Espe, "Prosumer communities and relationships in smart grids : A literature review, evolution and future directions" 11 (11): 2528-, 2018

    5 Ostvar Farzaneh ; Barati Hassan ; Mortazavi Seyed Saeidollah, "Probabilistic Risk-Based Planning of Distributed Generation Units Using Multi Objective Hybrid Augmented Weighted ε-Constraint Approach" 18 (18): 3517-3531, 2023

    6 E. Oh, "Peer-to-Peer Energy Transaction Mechanisms Considering Fairness in Smart Energy Communities" 8 (8): 216055-216068, 2021

    7 The power of transformation, "International Energy Agency(IEA)" 2014

    8 Smart grids, "International Energy Agency(IEA)" 2022

    9 Naji El Idrissi Rajaa ; Ouassaid Mohammed ; Maaroufi Mohamed, "Game Theory Approach for Energy Consumption Scheduling of a Community of Smart Grids" 18 (18): 2695-2708, 2023

    10 E. Oh, "Dynamic Virtual Energy Storage System Operation Strategy for Smart Energy Communities" 12 (12): 2750-, 2022

    1 N. Naval, "Virtual power plant models and electricity markets-A review" 149 : 111393-, 2021

    2 R. Fu, "U.S. solar photovoltaic system cost benchmark: Q1 2018" National Renewable Energy Laboratory 2018

    3 Y. Chen, "Review of energy sharing : Business models, mechanisms, and prospects" 16 (16): 2468-2480, 2022

    4 E. Espe, "Prosumer communities and relationships in smart grids : A literature review, evolution and future directions" 11 (11): 2528-, 2018

    5 Ostvar Farzaneh ; Barati Hassan ; Mortazavi Seyed Saeidollah, "Probabilistic Risk-Based Planning of Distributed Generation Units Using Multi Objective Hybrid Augmented Weighted ε-Constraint Approach" 18 (18): 3517-3531, 2023

    6 E. Oh, "Peer-to-Peer Energy Transaction Mechanisms Considering Fairness in Smart Energy Communities" 8 (8): 216055-216068, 2021

    7 The power of transformation, "International Energy Agency(IEA)" 2014

    8 Smart grids, "International Energy Agency(IEA)" 2022

    9 Naji El Idrissi Rajaa ; Ouassaid Mohammed ; Maaroufi Mohamed, "Game Theory Approach for Energy Consumption Scheduling of a Community of Smart Grids" 18 (18): 2695-2708, 2023

    10 E. Oh, "Dynamic Virtual Energy Storage System Operation Strategy for Smart Energy Communities" 12 (12): 2750-, 2022

    11 N. Tomin, "Design and optimal energy management of community microgrids with flexible renewable energy sources" 183 : 903-921, 2022

    12 S. P. Boyd, "Convex Optimization" Cambridge University Press 2004

    13 J. Radl, "Comparison of profitability of PV electricity sharing in renewable energy communities in selected European countries" 13 (13): 5007-, 2020

    14 E. Oh, "Community solar photovoltaic service strategy for commercial buildings considering profit balancing and fairness" 229 : 110513-, 2020

    15 V. Brummer, "Community energy-benefits and barriers : A comparative literature review of Community Energy in the UK, Germany and the USA, the benefits it provides for society and the barriers it faces" 94 : 187-196, 2018

    16 B. P. Koirala, "Community energy storage : A responsible innovation towards a sustainable energy system?" 231 : 570-585, 2018

    17 S. Martello, "Algorithms for knapsack problems" 132 : 213-257, 1987

    18 A. F. Rochim, "A discrimination index based on Jain's fairness index to differentiate researchers with identical H-index values" 5 (5): 5-18, 2020

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