Economic dispatch of a cascade hydro-wind-photovoltaic-storage complementary system based on TCHBA
To solve the problems that HBA(Honey Badger Algorithm,HBA)is easy to fall into local optimum and unstable solution results when solving complex cases of power systems,this paper introduces Tent chaos mapping and Cauchy variation perturbation for modification based on the original algorithm,and proposes an improved Honey Badger Algorithm(Tent map and Cauchy mutation based Honey Badger Algorithm,TCHBA).TCHBA is used to initialize the population with the help of the Tent chaos mapping strategy in order to improve the population diversity.Further,in the iterative update phase,a Cauchy variation perturbation is added so as to improve the global search capability and avoid getting trapped in a local optimum.TCHBA was tested as a benchmark function with the help of HBA,Particle Swarm Optimization(PSO),Covariance Matrix Adaptation Evolution Strategy(CMA-ES)and Whale Optimization Algorithm(WOA).The results validate the effectiveness and accuracy of the proposed algorithm TCHBA.Finally,a modified IEEE 6-machine 30-node system is used to analyze the algorithm.The results show that the TCHBA algorithm performs well in a multi-energy coupled power generation system economic dispatch that considers the integrated output of cascade hydro-wind-photovoltaic-storage(CHWPS).
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维普
