Optimal Planning Method of Soft Open Point in Distribution Network Based on Locational Marginal Price

With the implementation of the "double carbon" target and the acceleration of energy transformation, the access to diversified source networks, load, and storage devices has brought huge challenges to the operation of traditional distribution networks. Various new power electronic devices, represented by soft open points(SOPs), enable the flexible interconnection of distribution networks, and their application will greatly improve the economy, flexibility, and controllability of distribution system operation. In the presence of higher investment and operation costs of SOP, the planning of SOP will become an essential problem to be solved. A planning method of SOP based on locational marginal price was proposed for the distribution network. Firstly, considering the uncertain characteristics of distributed generation, the theory of K-means clustering and CFSFDP is used for optimal scenario generation and typical scenario construction based on historical data. Then, a two-stage framework for the planning of SOP was presented, where the objective was to minimize the equivalent annual cost in the upper stage. In the lower stage, using the primal-dual interior point method to calculate the locational marginal price (LMP) of the system, the objective was to minimize the operation cost of each scenario. This problem was solved by the simulated annealing (SA) algorithm. Finally, the optimization model was analyzed and verified on the IEEE 14-node test feeder.