Optimization method for island and reef hybrid power generation systems'power capacity based on adaptive ant colony algorithm
[Objectives]Aiming to address the existing challenges in the power capacity configuration of is-land and reef hybrid power generation systems,this paper proposes an optimization method based on the ad-aptive ant colony algorithm(ACA).[Methods]An ACA is used as the core optimization tool to configure the power capacity of an island and reef hybrid power generation system.The process of ants foraging is simu-lated by employing the ACA and using the power generation of renewable energy as dynamic pheromones in the search space.The optimal solution is then found through global search,achieving the full utilization of re-newable energy.Taking Wai Lingding Island as the target island,a'wind-solar-diesel-storage'microgrid hy-brid power generation system model is constructed,and the ACA is used to optimize its capacity configura-tion.[Results]The simulation results of the algorithm indicate that,compared to the improved Grey Wolf algorithm and Artificial Bee Colony algorithm,the ACA can effectively reduce the operational costs and envir-onmental pollution of the microgrid hybrid power generation system,while ensuring the stability of the power supply.[Conclusions]The results of this study can effectively increase the power supply stability of the micro grid hybrid power generation system,reduce operating costs and environmental pollution,and thus achieve ef-ficient utilization of energy resources.
hybrid power generation systemadaptive ant colony algorithm(ACA)capacity configurationdynamic pheromoneeconomy
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