Remuneration Sensitivity Analysis in Prosumer and Aggregator Strategies by Controlling Electric Vehicle Chargers

被引:13
作者
Diaz-Londono, Cesar [1 ,2 ]
Vuelvas, Jose [2 ]
Gruosso, Giambattista [1 ]
Adrian Correa-Florez, Carlos [2 ]
机构
[1] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, I-20133 Milan, Italy
[2] Pontificia Univ Javeriana, Dept Elect, Bogota 110321, Colombia
关键词
electric vehicle charger; prosumer; remuneration; battery storage system; renewable energy; sensitivity analysis; DEMAND RESPONSE; RESIDENTIAL PROSUMER; TIME;
D O I
10.3390/en15196913
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The efficient use of energy resources is profoundly changing power grid regulation and policy. New forms of power generation coupled with storage and the presence of new, increasingly flexible loads such as electric vehicles enable the development of multi-agent planning systems based on new forms of interaction. For instance, consumers can take advantage of flexibility by interacting directly with the grid or through aggregators that bridge the gap between these end-users and traditional centralised markets. This paper aims to provide insight into the benefits for aggregators and end-users from a financial perspective by proposing a methodology that can be applied to different scenarios. End-users may provide flexibility services related to private vehicle charging stations or battery storage systems. The paper will analyse different remuneration levels for end-users by highlighting the most beneficial scenarios for aggregators and end-users and providing evidence on potential conflict of interests. The numerical results show that some consumers may benefit more from aggregation. This is because if taken individually, consumption habits do not allow the same flexibility when considering clusters of consumers with different behaviour. It is also shown that there are cases in which consumers do not seem to benefit from the presence of intermediate parties. We provide extensive numerical results to gain insight for better decision making.
引用
收藏
页数:24
相关论文
共 37 条
[1]   Coordination strategies in distribution network considering multiple aggregators and high penetration of electric vehicles [J].
Almeida, Jose ;
Soares, Joao ;
Canizes, Bruno ;
Vale, Zita .
14TH INTERNATIONAL SYMPOSIUM INTELLIGENT SYSTEMS, 2021, 186 :698-705
[2]   A Methodology for Exploiting Smart Prosumers' Flexibility in a Bottom-Up Aggregation Process [J].
Arnone, Diego ;
Cacioppo, Michele ;
Ippolito, Mariano Giuseppe ;
Mammina, Marzia ;
Mineo, Liliana ;
Musca, Rossano ;
Zizzo, Gaetano .
APPLIED SCIENCES-BASEL, 2022, 12 (01)
[3]   A Decision Support System Tool to Manage the Flexibility in Renewable Energy-Based Power Systems [J].
Badami, Marco ;
Fambri, Gabriele ;
Manco, Salvatore ;
Martino, Mariapia ;
Damousis, Ioannis G. ;
Agtzidis, Dimitrios ;
Tzovaras, Dimitrios .
ENERGIES, 2020, 13 (01)
[4]   From smart energy community to smart energy municipalities: Literature review, agendas and pathways [J].
Ceglia, F. ;
Esposito, P. ;
Marrasso, E. ;
Sasso, M. .
JOURNAL OF CLEANER PRODUCTION, 2020, 254
[5]   Preferences for community renewable energy investments in Europe [J].
Cohen, Jed J. ;
Azarova, Valeriya ;
Kollmann, Andrea ;
Reichl, Johannes .
ENERGY ECONOMICS, 2021, 100
[6]   Modelling and assessing the impact of the DSO remuneration strategy on its interaction with electricity users [J].
de Villena, Miguel Manuel ;
Gautier, Axel ;
Ernst, Damien ;
Glavic, Mevludin ;
Fonteneau, Raphael .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 126
[7]   Aggregation and Remuneration in Demand Response With a Blockchain-Based Framework [J].
Di Silvestre, Maria Luisa ;
Gallo, Pierluigi ;
Sanseverino, Eleonora Riva ;
Sciume, Giuseppe ;
Zizzo, Gaetano .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2020, 56 (04) :4248-4257
[8]  
Diaz C, 2018, 2018 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA), P54, DOI 10.1109/CCTA.2018.8511498
[9]   Coordination of specialised energy aggregators for balancing service provision [J].
Diaz-Londono, Cesar ;
Correa-Florez, Carlos Adrian ;
Vuelvas, Jose ;
Mazza, Andrea ;
Ruiz, Fredy ;
Chicco, Gianfranco .
SUSTAINABLE ENERGY GRIDS & NETWORKS, 2022, 32
[10]   Optimal Operation Strategy for Electric Vehicles Charging Stations with Renewable Energy Integration [J].
Diaz-Londono, Cesar ;
Ruiz, Fredy ;
Mazza, Andrea ;
Chicco, Gianfranco .
IFAC PAPERSONLINE, 2020, 53 (02) :12739-12744