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

Energies

Tiago Pinto¹  Zita Vale¹  Isabel Pra๺¹  E. J. Solteiro Pires²  Fernando Lopes³ 

[1] Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Institute of Engineering of the Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, Porto 4200-072, Portugal; E-Mails:;Universidade de Trás-os-Montes e Alto Douro (UTAD), Quinta de Prados, Vila Real 5000-801, Portugal; E-Mail:;National Research Institute (LNEG), Estrada do Paco do Lumiar, 22, Lisbon 1649-038, Portugal; E-Mail:

关键词: adaptive learning;    bilateral contracts;    decision support;    electricity markets;    game theory;    multi-agent simulation;   

DOI  :  10.3390/en8099817

来源: mdpi

【 摘 要 】

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 the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.