A Time-sequential OPF Simulation Method for Renewable Utilization Studies Considering Energy Storage

Abstract

In recent years, renewable generation, especially wind, and solar have become one of the major generation resources in electrical power systems. Due to the non-dispatchable feature of renewable generation, curtailment occurs when the rest of the system is not able to accommodate the maximum renewable output. To analyze the curtailment in the system planning stage, however, traditional studies such as the production simulation method are limited to identifying accurate curtailment rates since the time resolution is sparse and grid topology is omitted. Therefore, in this paper, we propose a time-sequential optimal power flow (TSOPF) simulation method for studying renewable utilization. This method supports second-level temporal simulation which is fine enough to capture the fluctuations of renewables. In addition, the energy storage is incorporated in the simulation to reflect its impact on facilitating renewable utilization. The proposed simulation method is tested based on a real provincial power grid with historical time-sequential data of system load and renewable.