A PV-Storage-Charging-Load Coordinated Scheduling Strategy Based on Robust Optimization under the Demand Response Compensation Mechanism

Industrial parks integrate distributed photovoltaic (PV), energy storage systems, electric vehicle (EV) charging facilities, and industrial electricity demand, etc. Traditional regulation methods cannot cope with the uncertainty of PV output, industrial electricity demand, and EV charging, which results in the negative impacts of increased economic operation costs and insufficient consumption of new energy. In this paper, the uncertainty of PV output, industrial electricity demand and EV charging contract is considered comprehensively, the internal multiple heterogeneous resources are modeled in detail, and a two-part charging power-transferring power demand-response compensation mechanism is innovatively proposed, and the Column and Constraint Generation (C&CG) algorithm is used for solving the problem to obtain the collaborative scheduling strategy of PV-storage-charging-Ioad in industrial parks. The effectiveness of the proposed strategy is verified by case analysis.