Application Of Improved Chimp Optimization Algorithm In Fault Recovery And Repair Of Distribution Networks

After a large-scale multi-point fault occurs in the distribution network,it is necessary to complete the power supply recovery of the power outage load in time,otherwise it may cause huge losses of life and property.Fault recovery and repair are two means to complete the power supply recovery,so it is important to formulate a reasonable recovery and repair strategy for the power supply recovery.This paper applies the improved chimpanzee optimization algorithm to the distribution network fault recovery and repair problem for the first time,and proposes a coordinated optimization strategy,which effectively improves the power supply reliability and economic benefits.Chimp optimization algorithm is a meta-heuristic algorithm that simulates the hunting behavior of chimpanzee groups.It was proposed in 2020 and uses three roles of leader,follower and scout in the chimpanzee group to search.It has strong global optimization ability and fast convergence.The algorithm is clear and concise,suitable for various complex problems,and has been applied in fields such as numerical optimization,path planning,energy prediction,etc.This paper improves the algorithm to make it suitable for solving discrete multi-objective optimization problems,and applies it to the field of distribution network fault recovery and repair.The improvements include: using Hammersley sequence to initialize the population,introducing adaptive weight factor and somersault foraging strategy,and proposing a turning point decision algorithm based on angle selection.These improvements improve the efficiency and convergence of the algorithm,and can directly select the optimal solution.For the fault repair and fault recovery of the distribution network,corresponding mathematical models are established respectively,and the influence of load power outage urgency and wind-light storage system is considered.A multi-fault repair problem optimization strategy is formulated,which verifies that decision-makers can quickly formulate the final repair plan and achieve the power supply recovery goal under this strategy.The fault recovery is divided into two stages: network reconstruction and island division,and a step-by-step recovery strategy that integrates both is proposed.The 33-node system is used for case analysis,which verifies the effectiveness and superiority of the improved algorithm in this paper,and analyzes the impact of wind-light storage system on fault recovery.It is found that wind-light storage system can increase the recovery load,reduce the number of switch operations,and improve power supply reliability.Finally,based on the above recovery and repair models and methods,a coordinated optimization strategy for fault recovery and fault repair is formulated.The simulation analysis of the actual distribution line of a city shows that this strategy can fully utilize the output of wind-light storage system under system uncertainty,maximize the recovery of power outage load at different time periods.Before and after coordinated optimization,the repair time is shortened by 12.9%,the power outage time is shortened by 76.5%,and the economic loss is reduced by 77.1%.This paper provides an effective method for fast and reliable power supply recovery of distribution networks.