基于改进共享小生境遗传算法的配电网无功规划

为了减少配网损耗和保证配网电压质量,解决应用传统适应值共享小生境遗传算法进行无功规划时,由于小生境半径设定值的不同会导致全局寻优能力不稳定、寻优结果波动性较大的问题,将改进共享小生境遗传算法应用于配电网无功规划.首先建立了以净收益现值为目标函数的数学模型,该模型更直观地反映了补偿方案的降损节能收益能力;然后采用基于自适应调整小生境半径的改进共享小生境遗传算法进行配电网无功规划,该算法具有良好的全局寻优能力和解的稳定性;最后采用面向对象的Visual 2005C#高级语言开发编制了配电网无功规划计算程序,算例结果表明了该算法的有效性和实用性.

Reactive Power Planning of Distribution Network Based on the Sharing Niche Genetic Algorithm

To reduce power loss and ensure the system voltage quality in distribution network,and regard to the defects of traditional sharing niche genetic algorithm applied to the reactive power planning of distribution network,the improved sharing niche genetic algorithm is put forward.A mathematical model is proposed with the objective function of maximum net benefit in present value,and the model shows the benefit of power loss reduction vividly.The improved sharing niche genetic algorithm is applied to reactive power planning of distribution network which enhanced the ability of global optimization and the stability of results.The program is developed by Visual 2005C#,and the test results prove its effectiveness and applicability.