Two-stage intelligent dispatching strategy of PIES based on sharing mechanism

Abstract

Aiming at addressing the economic dispatching challenges within the park-level integrated energy system (PIES), this study focuses on three PIES with distinct priorities. The proposed approach introduces a two-stage intelligent dispatching strategy for PIES based on a sharing mechanism. This strategy comprises a day-ahead intelligent dispatching method for PIES, grounded in a scenario threshold, and a real-time dispatching strategy for PIES based on the sharing mechanism. In the day-ahead phase, a scenario threshold concept is presented for an individual PIES and resolved through a novel modeling method and an intelligent algorithm to derive the day-ahead dispatching plan for the PIES. Subsequently, in the real-time phase, the synergy among the three PIESs is explored, and the sharing mechanism is leveraged to offset the uncertainty deviation observed in the high-priority PIESs. To meet the energy requirements of each PIES, the energy storage system is configured within the lowest-priority PIES. Simulation results demonstrate that the dispatch model developed in this paper exhibits faster convergence and possesses the capability to compensate for uncertainty deviations, thereby fostering a balance between source-load supply and demand. Additionally, this model establishes a research foundation for the cooperative optimal dispatch of multiple PIESs.