基于遗传算法的配电网低压侧无功补偿动态优化规划

以投资净收益的折现值最大为目标函数。将投资规模的限制以惩罚函数的形式加入到目标函数中构成增广目标函数。将每个可能安装低压侧自动无功补偿装置的位置作为基因，基因的取值反映补偿装置安装与否及安装的时间．在此基础上运用遗传算法获得考虑负荷变化情况下配电网低压侧无功补偿装置的动态最优规划结果。详细讨论了投资规模不加限制、限制总投资规模和限制各个阶段投资规模三种情况的处理方法。对实例的分析表明。提出的方法是可行的。

Genetic algorithm based optimal dynamic planning of low-voltage side reactive power compensators

The highest investment benefit,which is discounted back to present,is taken as the objective function;the restriction of total investment is considered as penalty functions and an augmented index is thus established;each possible installing location of the ARCE(Automatic Reactive Compensation Equipments) is regarded as a gene;the value of each gene is the installing time of ARCE while zero means no ARCE installed;the genetic algorithm is thus applied to obtain the optimal dynamic planning of ARCEs on the low voltage side of distribution network while considering load change. Three cases are detailed:without total investment limitation,with total invest-ment limitation and phase investment limitation. Results show that the proposed method is feasible.