摘要
针对实数遗传算法应用于火电厂机组负荷优化分配问题中存在因早熟收敛的难题,首次提出部分解约束结合惩罚函数的改进实数遗传算法,在约束条件的处理、变异策略、初始化等多方面针对该问题的特点对实数遗传算法提出了新的改进思路,解决了遗传算法应用于多峰值优化问题中早熟而收敛于局部极值点的难题,对5台机组的火电厂机组负荷优化分配的仿真表明优化成功率能达到100%。
To address the optimization premature convergence problem of unit commitment problem （UCP） in power plant with float genetic algorithms （FGA）, a refined FGA with the constrained conditions partially solved combined with punishing function （FGA -PPF） were introduced in this thesis, FGA -PPF refined in the dealing with its constrained conditions, the strategy of mutation , initialization of population of FGA with respect to the features of UCP. FGA - PPF resolved the problem of premature in FGA , in the application to a five units power plant UCP, its succeed rate arrived 100%.
出处
《汽轮机技术》
北大核心
2006年第5期352-355,共4页
Turbine Technology
关键词
实数遗传算法
负荷优化
部分解约束
早熟收敛
float genetic algorithms （ FGA ）
unit commitment problem （UCP）
constrained conditions partially solved
premature convergence
