摘要
为了解决电力供需矛盾的问题,根据实际的需要,文章提出了一种需求侧负荷管理中最优错峰计划的生成方法。在运行方式确定的情况下,通过使用遗传算法进行优化,这样就能得到相应的最佳错峰计划。文章论述了联络开关单步平移操作的方法,还使用了启发式算法,这样就能实现各种运行方式后最优错峰计划的生成。通过选取随机初值的方法增加了获得全局最优解的几率。测试结果表明,此方法安全可行,具有很要的应用空间。
To solve the problem of power shortage,according to actual needs,the article presents a demand-side load management plan the optimal method of generating peak shifting. In the operating mode to determine the circumstances,by the use of genetic algorithms optimized can be obtained so that the corresponding best peak shifting program. This article discusses the contact switch single-step shift operation method also uses heuristic algorithm,so that we can achieve optimal load shifting various modes of operation after the plan generation. By selecting a random initial approach increases the probability to obtain global optimal solution. Test results show that this method is feasible and safe,with a very desired application space.
出处
《自动化与仪器仪表》
2016年第2期173-174,176,共3页
Automation & Instrumentation
关键词
需求侧管理
负荷管理
遗传算法
Demand-side management
Load management
Genetic Algorithms