免疫遗传算法在电压优化与治理中的研究与应用
Research and Application of Immune Genetic Algorithm in Voltage Optimization and Control
吕勇 1王磊1
作者信息
- 1. 国网河南洛阳供电公司，河南 洛阳 471000
- 折叠
摘要
随着电网规模的扩大和电压等级的丰富，进行电压优化与治理是非常必要的。文章首先提出基于多手段综合运用的电压优化模型，该模型覆盖网源各环节，追求以最小的新增无功来实现电压合格率的提升；其次以免疫遗传算法的理论为依托，就免疫遗传算法应用于电压优化模型的求解进行算法设计；最后将研究内容经由改进的Ward-Hale 6节点系统的验证。结果表明，免疫遗传算法具有良好的收敛性和鲁棒性，能有效解决多维组合问题的寻优，可在电力系统电压优化和治理领域予以推广。
Abstract
With the expansion of the power grid and the rich voltage level, it is very necessary to optimize and control the voltage. The optimization model based on multi means integrated use of voltage was proposed. The model covers the source network the link, pursuit to the smallest new reactive to achieve voltage qualiifed rate of increase; secondly with the support of the theory of immune genetic algorithm, immune genetic algorithm was applied to solve the optimal model of the voltage of algorithm design; at last the research content was verified by improved Ward-Hale 6 nodes system. The results show that the immune genetic algorithm has good convergence and robustness, and can effectively solve the problem of multi dimension optimization. It can be popularized in the ifeld of power system voltage optimization and management.
关键词
电压治理/无功补偿/免疫遗传算法/潮流约束Key words
voltage control/reactive power compensation/immune genetic algorithm/power lfow constraint引用本文复制引用
出版年
2016
NETL
NSTL
万方数据