Sizing distributed energy resources in a renewable energy community with a grid-aware internal market structure

被引:2
作者
Stegen, Thomas [1 ]
Glavic, Mevludin [1 ]
Cornelusse, Bertrand [1 ]
Giannitrapani, Antonio [2 ]
Paoletti, Simone [2 ]
机构
[1] Univ Liege, Dept Elect Engn & Comp Sci, Liege, Belgium
[2] Univ Siena, Dipartimento Ingn Informaz & Sci Matemat, Siena, Italy
关键词
Distributed energy resources; Renewable energy community; Optimization; Sizing; Benefits allocation;
D O I
10.1016/j.epsr.2024.110797
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a cooperative approach aimed at distributed energy resources sizing in a renewable energy community, with considerations of the community's optimal operation, impact on the electrical grid and an allocation of the benefits to its members. To this purpose, multiple investment modes are evaluated via a twostep procedure. In the first step, the size of renewable energy sources is determined by solving an optimization problem that maximizes community welfare, considering network and investments. In the second step, an optimization problem maximizing additional community member profit with price regularization is solved. This step shares benefits among community members. The potential of the proposed procedure is illustrated using a benchmark Dickert-LV network. This is a full y cooperative framework where the community operator is ensuring adequate grid operation, operational planning and sizing of new investments.
引用
收藏
页数:8
相关论文
共 16 条
[1]   Single-dwelling and community renewable microgrids: Optimal sizing and energy management for new business models [J].
Aviles A, Camilo ;
Oliva H, Sebastian ;
Watts, David .
APPLIED ENERGY, 2019, 254
[2]  
Berka A., 2016, Renew. Sustain. Energy Rev., V82
[3]  
Cappellaro Francesca, 2022, Journal of Urban Ecology, V8, pjuac023, DOI 10.1093/jue/juac023
[4]   A community microgrid architecture with an internal local market [J].
Cornelusse, Bertrand ;
Savelli, Iacopo ;
Paoletti, Simone ;
Giannitrapani, Antonio ;
Vicino, Antonio .
APPLIED ENERGY, 2019, 242 :547-560
[5]   Mixed-integer linear programming based optimization strategies for renewable energy communities [J].
Cosic, Armin ;
Stadler, Michael ;
Mansoor, Muhammad ;
Zellinger, Michael .
ENERGY, 2021, 237
[6]  
Dickert J., 2013, 2013 IEEE Grenoble PowerTech Conference, DOI 10.1109/PTC.2013.6652250
[7]  
European Commission, 2018, Pub. L. No. 52018DC0773
[8]   Branch Flow Model: Relaxations and Convexification-Part I [J].
Farivar, Masoud ;
Low, Steven H. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (03) :2554-2564
[9]   Optimal sizing of energy communities with fair revenue sharing and exit clauses: Value, role and business model of aggregators and users [J].
Fioriti, Davide ;
Frangioni, Antonio ;
Poli, Davide .
APPLIED ENERGY, 2021, 299
[10]  
Gurobi Optimization LLC, 2023, Gurobi optimizer reference manual