Development of the Internal Electricity Market in Europe

Meeus, Leonardo; Purchała, Konrad; Belmans, Ronnie

doi:10.1016/j.tej.2005.06.008

Cited by 161 publications

(82 citation statements)

References 5 publications

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“…The shared interest of regulators and market players in foreseeing market behaviour required a clear understanding of market principles, and the impact of power systems physics on market dynamics and vice-versa [2,27]. Additionally, a suitable understanding of the diversity of market types and regulatory models that have been introduced is critical for the success of involved players.…”

Section: Regulatory Electricity Market Modelsmentioning

confidence: 99%

Reserve costs allocation model for energy and reserve market simulation

Pinto

Gazafroudi

Prieto‐Castrillo

et al. 2017

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)

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Abstract-This paper proposes a new model to allocate reserve costs among the involved players, considering the characteristics of the several entities, and the particular circumstances at each moment. The proposed model is integrated in the Multi-Agent Simulator of Competitive Electricity Markets (MASCEM), which enables complementing the multi-agent simulation of diverse electricity market models, by including the co-simulation of energy and reserve markets. In this context, the proposed model allows allocating the payment of reserve costs that result from the reserve market. A simulation based on real data from the Iberian electricity market -MIBEL, is presented. Simulation results show the advantages of the proposed model in sharing the reserve costs fairly and accordingly to the different circumstances. This work thus contributes the study of novel market models towards the evolution of power and energy systems, with the objective of adapting current and future models to the new paradigm of high renewable energy generation penetration.

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Section: Regulatory Electricity Market Modelsmentioning

confidence: 99%

Reserve costs allocation model for energy and reserve market simulation

Pinto

Gazafroudi

Prieto‐Castrillo

et al. 2017

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)

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“…Thus it was not subject to the EU Treaties of Rome (1957) and Maastrich (1993) requiring open markets within the European Union. With the liberalization in UK and Scandinavia this view changed, especially after the European Court of Justice ruled that electricity is indeed a good (Meeus et al, 2005).…”

Section: The European Directivesmentioning

confidence: 99%

A Review of Liberalization and Modeling of Electricity Markets

Weigt

2009

SSRN Journal

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Abstract:This paper provides a review on the restructuring of electricity markets around the word including the UK, Norway, Continental Europe, and the US. The focus of this review lies on aspects of competitiveness and regulation in generation and transmission markets and market design, whereas distribution and retail are not pursued in detail. Furthermore, an overview about current modeling trends regarding liberalized electricity markets is provided including a classification according to mathematical principles and a taxonomy of research topics analyzed with modeling approaches.

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“…These changes have progressively refined the used EM models, which began to operate using more reliable and complex models. However, EMs are still restricted to the participation of large players [2], which hardens the massive integration of renewable energy sources in the power system. This problem is being addressed in different ways in different parts of the globe [3] but some common solutions are also being globally adopted.…”

Section: Introductionmentioning

confidence: 99%

Decision Support for Energy Contracts Negotiation with Game Theory and Adaptive Learning

et al. 2015

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This paper presents a decision support methodology for electricity market players' bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method's adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts' negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems' technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players' decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator-MIBEL. Results show that OPEN ACCESSEnergies 2015, 8 9818 the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts' negotiations.

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Development of the Internal Electricity Market in Europe

Cited by 161 publications

References 5 publications

Reserve costs allocation model for energy and reserve market simulation

Reserve costs allocation model for energy and reserve market simulation

A Review of Liberalization and Modeling of Electricity Markets

Decision Support for Energy Contracts Negotiation with Game Theory and Adaptive Learning

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