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Energy trading optimization of a virtual power plant on electricity market

This paper analyzes the optimized operation of a virtual power plant owner on the day-ahead market for maximizing his overall profit. The virtual power plant is composed of distributed energy resources with variable produced power, energy storage systems, and dispatchable classical generating units. The intermittent character of wind and solar irradiation is addressed using the forecasted production of these renewable energy sources in three cases: low, moderate, and high renewable sources production. The virtual power plant owner submits buying/selling electricity offers on the day-head market such that to maximize his daily profit. In addition, the possibility of the owner to participate on the green certificates market is investigated. The obtained profit is computed considering that the owner receives, on average, one green certificate for each 1 MWh produced by his renewable energy sources.