Strategic Behavior of Competitive Local Citizen Energy Communities in Liberalized Electricity Markets

Author:

Algarvio Hugo1ORCID,Couto António1ORCID,Lopes Fernando1ORCID,Estanqueiro Ana1ORCID

Affiliation:

1. LNEG—National Laboratory of Energy and Geology, Est. Paço Lumiar 22, 1649-038 Lisbon, Portugal

Abstract

The liberalization of energy retail markets empowered consumers with the ability to be part of new emerging entities, such as Citizen Energy Communities. With the increasing penetration of decentralized variable generation, communities have the advantage of incentive local carbon neutrality and sustainability. Local generation reduces transport grid usage and costs to consumers. Furthermore, worldwide legislation incentives energy communities by providing them discounts to other fee parts of the tariff apart from wholesale prices. This paper presents a model of strategic behavior, investment, and trading of energy communities. The model comprises the investment in local renewable generation, the design of competitive tariffs, and strategic bidding on wholesale markets. Consumers have an optimization model that selects the retail tariff that minimizes their costs with energy. These models are tested using data from Portuguese consumers and the Iberian electricity market. Results from the study indicate that inflexible consumers may reduce their costs by 29% by being part of the community. Furthermore, they have the potential to reduce their costs above 50% when using demand–response, adapting themselves to local production and wholesale prices.

Funder

European Union

Publisher

MDPI AG

Reference70 articles.

1. Hunt, S., and Shuttleworth, G. (1996). Competition and Choice in Electricity, Wiley.

2. Shahidehpour, M., Yamin, H., and Li, Z. (2002). Market Operations in Electric Power Systems, Wiley.

3. Kirschen, D., and Strbac, G. (2018). Fundamentals of Power System Economics, Wiley.

4. Cooperation Regional coordination in ancillary services: An innovative study for secondary control in the Iberian electrical system;Frade;Int. J. Electr. Power Energy Syst.,2019

5. Multi-agent electricity markets: Retailer portfolio optimization using Markowitz theory;Algarvio;Electr. Power Syst. Res.,2017

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