Source-load joint multi-objective optimal scheduling for promoting wind power, photovoltaic accommodation

Improving the grid-regulating ability by coordinating resources is important when dealing with large-scale renewable energy (RE) accommodation contradictions. When considering the status quo of the resource endowment and the market mechanism in China by coordinating the bilateral resources of "source" and "load" at the grid-scheduling level, this study regarded flexible loads as "virtual interactive power plants" to participate in the power balance and reservation based on the scheduling structure of the load aggregatorse. With the objectives of reducing the curtailment, increasing effectiveness, and improving grid economy, it is essential to construct the OPF (Optimal Power Flow)-based source-load multi-objective scheduling model. Moreover, the model was decoupled into a two-stage optimization model that consisted of the "wind-photovoltaic-thermal-load" multi-coordinated optimization and the economic allocation of the cascade hydropower station. The improved multi-objective firefly algorithm (IMOFA) was proposed and adopted for the solving. Finally, by using the IEEE-30 standard system, the study in this paper compared the scheduling schemes of different RE access levels and scenes. The results verified the rationality of the model and the algorithm as well as the operating effectiveness of the source-load joint in improving the economic, social, and environmental benefits. Published by AIP Publishing.