Title :
Smart Grid and Electricity Market joint simulation using complementary Multi-Agent platforms
Author :
Pinto, Tiago ; Silva, Marco ; Santos, Gabriel ; Gomes, Luis ; Canizes, Bruno ; Vale, Zita
Author_Institution :
GECAD - Knowledge Eng. & Decision Support Res. Center, Polytech. of Porto (IPP), Porto, Portugal
fDate :
June 29 2015-July 2 2015
Abstract :
This paper presents an enhanced simulation platform composed by the integration of two distinct multi-agent based simulators. The two simulators are: (i) the Multi-Agent Simulator of Competitive Electricity Markets (MASCEM), which provides a simulation platform for electricity markets participation, considering scenarios based on real data from several distinct market operators; and (ii) the Multi-Agent Smart Grid Platform (MASGriP), which facilitates the simulation of smart grids and microgrids, by modeling the power network at the distribution level, and representing the main entities that act in this scope. With the cooperation between the two simulation platforms, huge studying opportunities under different perspectives are provided, resulting in an important contribution in the fields of transactive energy, electricity markets, and smart grids. A case study is presented, showing the potentialities for interaction between players of the two ecosystems, namely by demonstrating a case in which a smart grid operator, which manages the internal resources of a smart grid, is able to participate in electricity market negotiations to sell the surplus of generation in some periods of the day, and buy the necessary power to satisfy the demand of smart grid consumers in other periods of the day.
Keywords :
distributed power generation; multi-agent systems; power markets; power system simulation; smart power grids; MASCEM; MASGriP; competitive electricity markets; complementary multiagent platforms; electricity market joint simulation; market operators; microgrids; multiagent based simulators; multiagent smart grid platform; power network; smart grid consumers; smart grid operator; transactive energy; Biological system modeling; Context; Data models; Electricity supply industry; Energy resources; Joints; Smart grids; Electricity Markets; Energy Resource Management; Multi-Agent Simulation; Smart Grid;
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven
DOI :
10.1109/PTC.2015.7232522