摘要
为解决含有分布式电源的配电网重构问题,建立了以系统网损为最小目标的含分布式电源配电网优化模型。根据遗传算法、模拟退火算法和禁忌搜索算法的特点,提出了适用于含分布式电源的配电网重构的混合算法。将禁忌搜索算法和模拟退火算法的思想引入到遗传算法中,可以避开遗传算法中存在的早熟收敛问题,跳出局部最优解,逐渐收敛到全局最优解,同时减小了迭代次数,提高了算法的效率。该算法用于IEEE 33节点系统的计算结果表明,混合算法用于含分布式电源的配电网重构是可行的、有效的。
In order to solve reconfiguration in distribution network with distributed generations,the paper build distribution network with distributed generation optimization model with network loss to a minimum goal.According to the characteristics of Genetic Algorithm,Simulated Annealing Algorithm and Tabu Search Algorithm,the reconfiguration in distribution network with distributed generations based on hybrid algorithms proposed.The introduction of ideological Tabu Search Algorithm and Simulated Annealing Algorithm into Genetic Algorithm,can avoid premature convergence in Genetic Algorithm,is out of local optimal solution,gradually converge to the global optimal solution,at the same time,reduce the iteration number,improve the efficiency of the algorithm.The results of the algorithm for IEEE 33 bus system demonstrate reconfiguration in distribution network with distributed generations based on hybrid algorithm is feasible and effective.
出处
《吉林电力》
2016年第1期22-25,共4页
Jilin Electric Power
