摘要
在分析潮汐电站运行特性基础上,建立其多维优化的月周期优化调度模型。该模型含有线性和非线性约束,而且目标函数呈非线性。利用整体算术交叉和精英保留策略,设计出一种全局寻优的浮点数编码改进遗传算法。算法实例求解结果与电站实际月发电量和动态规划法求解结果比较后表明,该算法可行、有效,提高了求解质量和运行效率。
Based on the analysis of the tidal power station operation characteristics, the multi-dimensional optimum operation model is established for the maximum monthly energy output. Linear and nonlinear constraints are involved and the object function is nonlinear for the model. Based on integer mathematical crossover and best individual preservation strategy, an improved genetic algorithm with floating point representation is designed. The model is used to Jiangxia Tidal Power. After the comparison with the actual maximum monthly energy output and the result of dynamic programming method, it can be seen that the model is reasonable and effective.
出处
《电力系统自动化》
EI
CSCD
北大核心
2010年第14期27-30,共4页
Automation of Electric Power Systems
关键词
潮汐电站优化调度
浮点遗传算法
动态规划
精英保留策略
tidal power station optimal operation
floating point genetic algorithm
dynamic programming
best individual preservation strategy
