Mixed Optimal Algorithm of Resource Allocation in Energy Industry

Optimized configuration of energy industry is an issue for resource combination and optimization, which includes continuous variable and discrete variable and belongs to the optimal power flow research. In order to improve the solution quality and the counting efficiency, this paper gives the solution using the mixed Greedy Algorithm and Genetic Algorithm: Use the superiority of Greedy Algorithm to obtain the original resource distribution solution space in the structure. This algorithm can minimize the spatial scale. And then utilizes the Genetic Algorithm to select the original solution space based on the overall situation and improve its application efficiency. The test case matches the anticipation.