Author:
Carvalho Rui,Santos Gabriel,Vale Zita
Abstract
AbstractGlobally, the amount of renewable energy generation is increasing, which raises the complexity of operating electrical grids to maintain stability and balance and boosts the need for developing new electricity market (EM) models fitting this new reality. To test, study, and validate the possible effects of novel EM designs, simulation techniques are frequently employed. This work proposes the use of two open-access tools for the modeling and simulation of complex EMs. These are the Electricity Markets Service (EMS) and the Spine Toolbox. EMS enables the simulation of two commonly used auction-based algorithms and the execution of three European wholesale EMs. Being published as a web service facilitates its integration with other services, systems, or software agents, such as the Spine Toolbox. The Spine Toolbox, in turn, is an open-source software for complex energy systems modeling. Combining them allows the modeling and simulation of complex EMs from the wholesale to local markets, as well as testing and validating new market designs. This work’s case study demonstrates how to use these tools to simulate the operation of the Iberian EM – MIBEL – for a month, using public data available from the market operator’s website. The results are analyzed from the perspective of the market operator and two players, i.e., a selected buyer and seller, for a specific day and the whole month.
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Energy Engineering and Power Technology,Information Systems
Reference40 articles.
1. Cabecera de las ofertas al mercado diario | OMIE [Internet] (2022) https://www.omie.es/en/file-access-list?parents%5B0%5D=/&parents%5B1%5D=Mercado%20Diario&parents%5B2%5D=4.%20Ofertas&dir=Cabecera%20de%20las%20ofertas%20al%20mercado%20diario&realdir=cab. Accessed 4 Aug 2022.
2. Coelho VN, Weiss Cohen M, Coelho IM, Liu N, Guimarães FG (2017) Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids. Appl Energy 187:820–832
3. Conejo AJ, Carrión M, Morales JM (2010) Decision making under uncertainty in electricity markets, 1st ed, vol 153. In: International Series in Operations Research & Management Science. Springer US, Boston, MA, 542 p. https://doi.org/10.1007/978-1-4419-7421-1.
4. Curvas agregadas de oferta y demanda del mercado diario | OMIE [Internet]. https://www.omie.es/en/file-access-list?parents%5B0%5D=/&parents%5B1%5D=Mercado%20Diario&parents%5B2%5D=3.%20Curvas&dir=Curvas%20agregadas%20de%20oferta%20y%20demanda%20del%20mercado%20diario&realdir=curva_pbc. Accessed 3 Jul 2022.
5. European Commission (2014) EUR-Lex-52014DC0015-EN-EUR-Lex: a policy framework for climate and energy in the period from 2020 to 2030. [Internet]. https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX%3A52014DC0015. Accessed 4 Aug 2021.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献