基于AGSO-BAS混合算法的配电网分布式电源优化配置

Distributed Generation Optimization Configuration of Distribution Grid Based on AGSO-BAS Hybrid Algorithm

随着分布式发电技术的发展,在配电网中接入一定容量的分布式电源(DG)对于改善配电网负荷供电质量、降低系统网损水平、提高运行经济性等具有显著的作用,本文针对分布式电源配电网中的位置、容量优化配置问题,建立了关于分布式电源建设运行总成本和系统网络损耗的多目标优化配置模型,并提出了一种基于改进萤火虫(AGSO)优化算法和天牛须(BAS)搜索优化算法的混合优化算法对分布式电源优化配置模型进行求解,在计算得到Pareto解集后,利用交互式模糊决策技术从解集中选取最终的电源配置方案。最后以IEEE 33节点配电网系统作为算例进行了仿真分析,验证了模型的合理性和方法的有效性,并分别使用混合算法与基本AGSO算法优化系统网损,对比结果表明,提出的混合算法收敛性和寻优精度更好,能有效地解决配电网中分布式电源的优化配置问题。

With the development of distributed generation technology,the access to the distributed power(DG)with certain capacity in the distribution grid plays a significant role in improving the power supply quality of the distribution network,reducing grid loss level of system and improving the operation economy.In view of such issue as position of the distribution power in the grid and optimal allocation of capacity in this paper,the multiple-objective optimal configuration model concerning the totalcost of construction and operation of the distributed power and grid loss of the system are set up.A kind of hybrid optimization algorithm based on improved AGSO and BAS is proposed to solve the distributed power optimization model.After getting Pareto solution set by calculation,the final power allocation scheme is selected from the set by the use of the interactive fuzzy strategy.Finally,the IEEE 33 node distribution network system is simulated as an example,the reasonableness of the model and the effectiveness of the method are verified.The grid loss of the system is optimized by the use of hybrid algorithm and AGSO algorithm respectively.It is shown by the result comparison that the convergence and optimization accuracy of the proposed hybrid algorithm are better,which can solve effectively the optimization allocation issue of distributed power in the distribution grid.