Optimal Virtual Power Plant Operational Regime Under Reserve Uncertainty

Virtual power plant (VPP) has become an important resource for reserve provision owing to its fast-responding capability. In this paper, optimal VPP operational regime considering uncertainty is proposed, which includes a novel day-ahead offering strategy and real-time dispatching model. At the stage, gives VPP’s price-dependent offers in energy market under multiple uncertainties on price, renewable generation, calls of deployment. A hybrid stochastic minimax regret (MMR) model proposed facilitate making decisions electricity market. generation scheduling can be realized based MMR criterion online fashion. To alleviate intrinsic conservativeness model, self-adaptive algorithm also instantly modify confidence bounds. The comprehensively tested through extensive case studies, demonstrate effectiveness our method obtaining that are less conservative.