摘要
研究了遗传算法在水火电力联合系统经济调度中的应用。针对电力系统负荷分配目标的改变,建立在电力市场体制下负荷分配的数学模型;根据负荷分配问题的特点,对初始种群的生成方法进行改进,使得遗传算法在初始种群中的所有个体都是可行解;对过度满足约束条件的个体,采用了一种有效减小冗余的手段。通过数字仿真,证明了该方法的正确性与有效性。
The application of genetic algorithm in the economic dispatching of hydro and thermal combined system is studied.For the change in the electric power system load distribution goal,a mathematic model is built for the load distribution under the electric power market system;according to the special features of load distribution,the way of generating the initial generation is improved so that each and every unit of genetic algorithm in the initial generation is a feasible solution;an effective means to reduce redundance is used for any of the units which excessively satisfy the restraint conditions.The correctness and effectiveness of this algorithm have been proved through numeric simulation.
出处
《黑龙江电力》
CAS
2003年第1期4-7,共4页
Heilongjiang Electric Power
关键词
遗传算法
负荷分配
电力系统
冗余度
经济调度
genetic algorithm
load distribution
electric power system
redundancy
economic dispatching
