基于适应性权重遗传算法的多目标无功优化研究

研究一种多目标无功优化问题的求解方法。基于无功分层分区平衡以及保证紧急情况下电网安全的原则，给出了在电网正常情况下优先投切电容器、调节变压器分接头，然后设定机端电压的优化调控顺序，进一步提出将优化问题分解为连续变量优化和离散变量优化问题，并分别求解，迭代直至收敛的求解思路。鉴于多目标无功优化模型的复杂性，以及连续、离散控制变量并存，采用遗传算法求解，重点研究了控制变量的编码方案以及选择、交叉、变异以及保留操作策略。针对于多目标无功优化各个目标权重难以确定问题，又进一步引入了适应性权重遗传算法，随着遗传代数的进化算法能自适应地给出各个目标权重。仿真算例验证了文中所提的多目标无功优化求解方法的合理性。

Study on multi-objective reactive power optimization based on genetic algorithm with adaptive weight

The solution for multi-objective reactive power optimization is studied.Based on the principle of hierarchical and regional balance of reactive power and guarantee for power system stability in emergency cases,regulation order is confirmed,that capacitor switching and transformer tap adjusting are first,and generator terminal voltage setting follows.Furthermore,the solving thinking is presented,that optimization problem is decomposed into continuous variable optimization and discrete variable optimization,t...