Optimal Bidding Strategy for Multiperiod Electricity Market with Consideration of PV Prediction Uncertainty

In this paper, we formulate an optimal bidding problem in a multiperiod electricity market with the consideration of the PV profile uncertainty. Based on the bidding strategy, the aggregator aims to obtain the highest profit by submitting a prosumption curve to the market, which includes both the amount of energy demanding and provision. With the concerning of the different PV profiles, two bidding strategies are formulated, the Worst-Case Strategy and Average Profile Strategy. Expectation criterion is employed to help decision making without the consideration of the potential risk. To mitigate the risk effect, we propose an aggregator budget-based analysis approach. Numerical simulations indicate that the strategy preference can be alternative under particular budget, which is related to the scale of the aggregator of interest.