基于改进遗传算法的微电网发电调度分析

Micro-grid Generation Scheduling Analysis Based on Improved Genetic Algorithm

微电网作为未来能源供应的关键技术之一,其优化配置仍存在大量的技术问题需要解决。在分析了微电网区别于其他能源型式的异同点之后,以经济性、可靠性、环保性作为系统分析基础,考虑了包含多种能源型式的微电网调度规划问题。对各电源的发电特性以及耗能特性建立数学模型,基于层次分析法将不同运行策略下的多目标函数构建为单目标模型,最后结合改进遗传算法求解模型。实例分析表明,该模型计算得到得结果与实际情况相符,可以得到较为准确的最优电源调度规划。

As one of the key technologies of the future energy supply,micro-grid has a lot of technical problems need to be solved.After analyzing the similarities and differences between micro-grid and other energy sources,the economic,reliability and environmental protection are used as the basis of system analysis.The power of the power generation characteristics and energy dissipation characteristics to establish mathematical model,based on hierarchical analysis method,the different operation strategy of multi objective function constructed as a single objective model.Finally,combined with the improved genetic algorithm to solve the model.Case analysis shows that the results obtained by the proposed model are consistent with the actual situation,and can get more accurate optimal power scheduling.