Economic Dispatch of Microgrids Based on Cauchy Differential Evolution Invasion Weed Optimization Algorithm
In order to improve the economic efficiency of microgrid operation,a microgrid economic dispatch method based on Cauchy differential evolution invasion weed algorithm is proposed.Taking the minimum operating cost of microgrids as the objective function and considering various constraints,an economic dispatch model for microgrids is established.Cauchy distribution and differential evolution strategy are used to improve the invasive weed algorithm,in order to improve the global search performance of the Cauchy Differential Evolution Invasive Weed Optimization(CDEIWO)algorithm and avoid the algorithm falling into local optimum.Simulation test results show that the CDEIWO algorithm can effectively reduce the number of iterations and improve convergence accuracy.The improved CDEIWO algorithm is used to solve the economic dispatch model of microgrids and is compared with other optimization methods.The results show that the minimum operating cost obtained by the CDEIWO algorithm after 62 iterations is 1 772.32 yuan,which is superior to other methods in terms of convergence frequency and optimal solution.Under the scheduling strategy of the CDEIWO algorithm,the output of each micropower source is reasonable,therefore ensuring the utilization rate of clean energy while greatly improving the economy of microgrid operation,and the correctness of the economic dispatch method for microgrids proposed in this article has been verified.
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