含分布式发电的配电网电压优化的研究

Research on Optimization of the Voltage of Distribution Network with Distributed Generation

针对含分布式发电的配电网电压优化提出了改进的模拟退火优化算法,对算法中初始种群生成、适应度计算、变异操作等进行了改进,并在处理多目标函数的优化问题中采用了自适应权重和法。算例结果表明,该算法能够收敛于全局最优解,并提高了收敛速度和稳定性。采用改进的模拟退火算法对变压器分接头和SVC出力进行优化来进行综合调压,可改善配电网的电压质量和降低网络损耗。

For optimization of the voltage of the distribution network with distributed generation, an improved simulated annealing genetic algorithm is proposed in this paper. The improvements are done in initial population generation, fitness calculation, mutation operation, etc as well as adopting the self-adaptive weight sum in multi-objects optimization. The results of calculation case show that the improved algorithm is able to obtain a global optimum solution, and enhance the convergence speed and stability. By using the improved algorithm and through comprehensive voltage regulation with adjustable tap transformer and SVC, it is possible to improve the voltage quality of distribution network, and reduce its loss.