基于改进帝国竞争算法的微电网优化调度研究

Research on Optimal Dispatching of Micro grid Based on Improved Imperial Competition Algorithm

为提高微电网运行的经济性和减少污染气体的排放,建立了以微电网综合成本最小为目标函数的微电网优化调度模型,采用自适应改革概率和柯西变异策略对帝国竞争算法进行改进,形成改进ICA算法。采用改进ICA算法对微电网优化调度模型进行求解,获得其最小综合成本为668.38元,相比其他3种优化算法,改进ICA算法的经济效益最大提升14.71%。在此调度方案下,微电网的经济性和环保性都得到提升,验证了改进ICA算法在微电网优化调度方面的实用性和优越性。

In order to improve the economy of micro grid operation and reduce the emission of pollution gas,a micro grid optimal dispatching model is established with the minimum comprehensive cost of the micro grid as the objective function.The imperial competition algorithm is improved by using adaptive reform probability and Cauchy mutation strategy to form an improved ICA algorithm.The improved ICA algorithm is used to solve the micro grid optimal dispatching model,and the minimum comprehensive cost is 668.38 yuan.Compared with the other three optimization algorithms,the economic benefit of the improved ICA algorithm is increased by 14.71%at most.Under this scheduling scheme,the economy and environmental protection of the microgrid are improved,which verify the practicability and superiority of the improved ICA algorithm in the microgrid optimal scheduling.