A Method for Optimal Allocation of Source-load-side Flexible Resources Considering the Demand of Peaking Scenarios

Optimizing the allocation of source-load-side flexible resources is necessary to improve the operational flexibility of the power system with a high percentage of renewable energy. So we propose a method to optimize the allocation of source-load-side flexible resources considering the demand of peaking scenarios. The load and new energy output forecast values are based on the ARIMA model, and the peak regulation capacity demand is derived under the period. The optimal allocation model of source-load-side flexible resources is established to minimize the total operating and investment costs. The particle swarm optimization algorithm is used to solve the model to obtain the optimal allocation scheme. Finally, the effectiveness of the proposed method is verified by using a regional grid case in Suzhou.