Decentralized Provision of Renewable Predictions Within a Virtual Power Plant

The mushrooming of distributed energy resources turns end-users from passive price-takers to active market-participants. To manage massive proactive efficiently, virtual power plant (VPP) as an innovative concept emerges. It can provide some necessary information help consumers improve their profits and trade with the electricity market on behalf them. One important desired by is prediction renewable outputs inside this VPP. Presently, most VPPs run in a centralized manner, which means VPP predicts all sources it manages provides predictions every consumer who buys information. We prove that providing boost social total surplus. However, more renewables market, scheme needs extensive data communication may jeopardize privacy individual stakeholders. In paper, we propose decentralized provision algorithm each subregion only buy local exchange Convergence proved under mild condition, demand gap between schemes have zero expectation bounded variance. Illustrative examples show variance decreases higher uncertainty.