Bi-stage operation optimization of active distribution networks with soft open point considering violation risk

Abstract

With a high proportion of distributed renewable energy source (DRES) integrated into the electrical distribution network, the problems of voltage violations and branch overload, stemming from the randomness and volatility of DRES, have gradually become substantial. To solve such issues, a bi-stage optimization model is proposed for the active distribution networks with soft open point (SOP), which considers the violation risk, thus enhancing the economics and security of distribution network operation. Stage 1 corresponds to a reconfiguration model focusing on the economics and safety of operation, while stage 2 refers to a stochastic optimization model that manages the coordination and optimization of multiple adjustment methods. Meanwhile, to simulate the output uncertainty of distributed power supply, optimal scenarios are constructed based on Wasserstein distance. To limit the computational complexity, a hybrid algorithm Lévy flight and chaos disturbed beetle antennae search based on grey target decision technology and second-order cone optimization was used to solve the proposed model. Finally, the correctness and superiority of the proposed bi-stage optimization model are verified on the modified IEEE 33 and 123-bus distribution systems. The simulation results show that compared with the original system, the economic risk is reduced by 7.51% and 96.92%, and the security risk is reduced by 69.64% and 76.56%, respectively.