CAJ | 학술논문

针对传统遗传算法收敛速度慢以及变电站二次系统整定值无法自适应的问题,提出一种基于变电站可行运行集的地区电网运行方式优化方案.该方案将地区电网结构特性与遗传算法相结合,在编码过程中使用变电站的可行运行方式作为优化变量.通过分析变电站站内结构,将其根据电气主接线进行分类,并总结出相应的可行运行方式编码规则以实现编码自动化.算例表明,该优化方案可将不可行的运行方式剔除,有效压缩遗传算法搜索空间,提高优化效率.
침대전통유전산법수렴속도만이급변전참이차계통정정치무법자괄응적문제,제출일충기우변전참가행운행집적지구전망운행방식우화방안.해방안장지구전망결구특성여유전산법상결합,재편마과정중사용변전참적가행운행방식작위우화변량.통과분석변전참참내결구,장기근거전기주접선진행분류,병총결출상응적가행운행방식편마규칙이실현편마자동화.산례표명,해우화방안가장불가행적운행방식척제,유효압축유전산법수색공간,제고우화효솔.
A novel regional power network operation optimization approach based on substation's feasible operation mode set is proposed to improve convergence speed of genetic algorithm (GA) as well as to address the problem caused by the fact that setting value of substation's secondary system is not self-adaptive. The proposed method introduces structural characteristic of regional grid into GA by taking substations' feasible operation mode as optimization variable during encoding process. Substations are analyzed and categorized according to its main electrical configuration while corresponding universal coding rules are induced to facilitate auto programming. Analysis of a regional power system demonstrates that the proposed approach is able to reduce solution space of GA and improve algorithm efficiency by eliminating infeasible solutions.