Study On Multi-objective Particle Swarm Optimization Algorithm For Partitioning And Combining Strategy Of Pelagic Islands

Ocean islands,with their rich land and sea resources and important geographical locations,have attracted much attention in the international community.The development and construction of ocean island groups and the vigorous development of marine economy have become the general trend.However,due to geographical conditions and other conditions,the development and construction of oceanic islands faces many challenges.At present,the developed ocean island groups mainly rely on diesel engines to generate electricity.In this case,not only the cost of production and living(power generation,transportation,etc.)is relatively high,but there is also the risk of environmental pollution.In fact,the development of existing islands has attracted much attention from various countries.The existing islands often have a cluster model.Taking the Nansha Islands in China as an example,the number of large and small islands has reached more than 550.Large-scale islands can be developed into production and There are 14 islands in which to live.There are many unmanned islands around,and their land resources have not been fully developed and utilized.Therefore,in order to achieve the high penetration rate of island's new energy and the needs of islanders' lives,based on the island's special grid conditions,this paper proposes an island that separates the electricity production and consumption environment and uses "resource enrichment island + load center island" Cluster mode is the first choice to make full use of island resources.The details are as follows:First,model and select key components for power generation and cables facing oceanic islands,and make basic predictions for loads.Analyze the relationship between the parameters to determine the appropriate parameters.Secondly,an island island group segmentation strategy based on multi-objective particle swarm optimization algorithm is proposed.The entire island cluster is divided into independent microgrid island groups with a number of load islands.The study as a whole is divided into small island groups with the number of load islands.Finally,based on the small island group,combined with the energy consumption of each level on the load island and the node division of the diesel power generation area,a multi-node energy flow planning strategy is proposed,combined with an intelligent algorithm that traverses the spanning tree,and finds multiple configurations.Electric network connection scheme.Based on a three-objective optimization strategy that takes into account investment economics,island group renewable energy penetration,and power quality,a particle swarm optimization algorithm is combined with matlab and matpower power flow calculation software to calculate an optimal power flow plan within a fixed node group.Program.And compared with the results of traditional economic programs.The calculation results show that the construction layout scheme proposed in this paper is reasonable and feasible.It provides a reference for the effective planning of renewable energy in ocean islands..