Robust Optimal Power Flow for Distuibution Network Based on Holomorphic Embedding Method

This paper proposes a more robust optimal power flow algorithm (ROPF) to address the issue of optimal power flow solutions being more likely to be attracted to inoperable solutions in new power systems. Firstly, the holomorphic embedding power flow algorithm (HEM) and particle swarm optimization algorithm (PSO) are decoupled and reconstructed within the algorithm to achieve cross solving of the distribution network OPF problem. Secondly, based on the consideration of voltage quality and economic operation in the distribution network, a multi-objective optimization model was established with the system loss and voltage deviation rate as objective functions, and the flexible resource operation status of the distribution network as decision variables; Finally, using the ROPF to conduct simulation experiments on IEEE-33 system and compare the results with the OPF algorithm based on the NR method. The results indicate the ROPF has better robustness and practicality.