Distributed Generation Configuration Based on Dung Beetle Optimizer Algorithm
In order to solve the configuration problem of distributed generation(DG)and improve the economy of DG grid connection,a DG configuration method based on dung beetle optimizer(DBO)algorithm is proposed.The multi-objective function is constructed based on the user's electricity purchase cost,DG investment cost,network loss cost and environmental penalty cost.The analytic hierarchy process is used to determine the weight of each objective function,and the multi-objective function is transformed into a comprehensive objective function.The DBO algorithm is used to optimize the comprehensive objective function,and the IEEE33 node system is used for example analysis,and the results are compared with those of the three comparison algorithms.The results show that the minimum fitness value of the DBO algorithm to optimize the comprehensive objective function is 8.4177 million yuan;Compared with other comparison algorithms,the distributed generation configuration based on the DBO algorithm is better.
distributed generationconfigurationdung beetle optimizer algorithmanalytic hierarchy processcomprehensive objective function
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