Assessing the impact of energy communities on retailers' balancing positions in the power market

被引:3
作者
Pedrero, Raquel Alonso [1 ]
del Granado, Pedro Crespo [1 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Ind & Technol Management, Hogskoleringen 1, N-7491 Trondheim, Norway
关键词
Energy communities; Retailers; Power markets; Balancing responsible parties; Single imbalance pricing; PEER-TO-PEER; ELECTRICITY;
D O I
10.1016/j.energy.2023.128384
中图分类号
O414.1 [热力学];
学科分类号
摘要
As regulatory constraints limit energy communities' (ECs) participation in wholesale markets, these might rely on retailers' supply when local generation falls short. As balancing responsible parties, retailers are financially responsible for matching the volumes traded in the market with customers' actual needs. However, inadequate information about ECs' operations may complicate this task. This paper explores the interactions and financial implications for retailers under contractual agreements with ECs. We design a novel modelling framework, consisting of: (1) a stochastic model of a strategic retailer participating in the day ahead market considering imbalance costs, (2) a community model optimising its operations based on the agreed tariff subscription with the retailer, and (3) a simulation of the imbalance settlement process. The frameworks' applicability is demonstrated via a case study in London (UK). Results indicate that retailers' primary source of profit loss arises from the increased self-sufficiency of customers belonging to EC. On the other hand, deviations from the market commitments exerts limited effects on retailers financial outcomes. This is explained by the earnings obtained by providing passive balancing services to system operators. Also, the paper underscores retailers' need to reassess their business models, looking beyond merely establishing operational data exchange with ECs.
引用
收藏
页数:10
相关论文
共 39 条
[1]  
ACER, 2020, DEC HARM MAIN FEAT I
[2]   Developments and Challenges in Local Electricity Markets: A Comprehensive Review [J].
Bjarghov, Sigurd ;
Loschenbrand, Markus ;
Ibn Saif, A. U. N. ;
Alonso Pedrero, Raquel ;
Pfeiffer, Christian ;
Khadem, Shafiuzzaman K. ;
Rabelhofer, Marion ;
Revheim, Frida ;
Farahmand, Hossein .
IEEE ACCESS, 2021, 9 :58910-58943
[3]  
Bynum M.L., 2021, Pyomo-optimization modeling in python, V67
[4]   Promoting wind and photovoltaics renewable energy integration through demand response: Dynamic pricing mechanism design and economic analysis for smart residential communities [J].
Cai, Qiran ;
Xu, Qingyang ;
Qing, Jing ;
Shi, Gang ;
Liang, Qiao-Mei .
ENERGY, 2022, 261
[5]  
Chanpiwat Pattanun, 2020, Journal of Engineering for Sustainable Buildings and Cities, V1, DOI 10.1115/1.4045704
[6]   Preferences for community renewable energy investments in Europe [J].
Cohen, Jed J. ;
Azarova, Valeriya ;
Kollmann, Andrea ;
Reichl, Johannes .
ENERGY ECONOMICS, 2021, 100
[7]  
Comission E, 2019, DIR EU 2019 944 EUR
[8]  
Conejo AJ, 2010, INT SER OPER RES MAN, V153, P1, DOI 10.1007/978-1-4419-7421-1
[9]   The value of electricity storage in domestic homes: A smart grid perspective [J].
Crespo Del Granado P. ;
Wallace S.W. ;
Pang Z. .
Energy Systems, 2014, 5 (02) :211-232
[10]  
Department for Business EIS, 2021, EN PRIC AV ANN DOM S