Study on Load Recovery Optimization of Distribution Network Considering Weighted Power Flow Entropy

Abstract

After power failure, it is necessary to formulate the optimal load recovery strategy under the constraints of limited power supply capacity, network topology and voltage offset. The traditional load recovery calculation only takes the maximum load recovery as the purpose, only considers the rapidity and economy of recovery, and does not consider the system operation insecurity which may be caused by the unreasonable power flow distribution in the recovery process, and has an impact on the subsequent recovery process. The power flow entropy is used to evaluate the load distribution of the network quantitatively, that is, the branches with heavy or light power flow will lead to the increase of power flow entropy, and the weighted power flow entropy can effectively distinguish the load of the line in the stage of load recovery, so as to improve the guidance of load recovery. Therefore, this paper takes the maximum load recovery as the primary recovery objective, and introduces the minimum node voltage drop and weighted power flow entropy to construct a multi-objective load recovery optimization strategy to ensure the voltage quality and the robustness of the system in the load recovery stage. In order to obtain the optimal restoration scheme, this paper uses the improved algorithm which combines the linear decreasing weight strategy and the binary particle swarm optimization algorithm to strengthen the global search ability of the algorithm and effectively improve the disadvantage that the particle swarm optimization algorithm is easy to fall into the local optimum. Finally, ieee-33 node system is used to verify the effectiveness of the proposed strategy and algorithm.