Two-level programming optimization considering ‘source-load-storage’ generalized flexible power supply

Abstract

Distributed generation, energy storage system and demand side response are flexible and controllable resources of active distribution network. Taking power enterprises as integrated energy service providers as application scenarios, a bi-level planning method for active distribution network is proposed, which comprehensively considers the coordinated optimization of ‘source-load-storage’ flexible resources. Firstly, based on the flexible supply and demand balance mechanism, a generalized flexible power planning method is proposed. Secondly, a bi-level programming model of ‘ source-load-storage ‘ coordination is established based on generalized flexible power supply. The upper level programming of the model takes the minimum annual comprehensive cost as the optimization objective. The lower planning takes the minimum annual network loss cost of the power grid as the optimization objective. According to the installation capacity of DG and ESS determined by the current upper planning, the optimal target value is obtained after the coordinated and optimized operation of DG, ESS and DR. Then, the mixed strategy of catastrophe genetic algorithm and interior point method is used to solve the planning model. Finally, taking the actual data of a certain region in Guangdong as an example, MATLAB is used for modeling and simulation analysis. The simulation results show that compared with the’ source-storage’ planning and ‘ source-load ‘ planning, the proposed ‘ source-load-storage ‘ coordinated planning method has higher economy and can effectively utilize multiple resources to reduce unnecessary investment, which is suitable for active distribution network planning with DG, ESS and DR as integrated energy service providers.