摘要
水火电力系统的短期有功负荷分配在电力系统的经济运行中发挥着重要的作用 ,从本质上讲它是一个具有复杂约束条件的非线性大型动态优化问题 ,处理起来十分复杂 ,采用传统优化算法难以得到理想的结果。文中提出对决策变量直接采用浮点数编码技术 ,并根据给定的概率分布进行杂交操作和实施参数变异的改进遗传算法 ( RGA) ,用以求解此问题 ,最后用具体算例对该方法进行了验证。通过与二进制编码遗传算法所得结果进行对比分析 ,表明此法计算结果正确合理 ,收敛速度快 ,求解精度高。这也说明 RGA不失为一种行之有效的优化方法 ,具有应用潜力。
The short term active power dispatch of hydrothermal power system plays an important role in economic operation of electric power systems,which is a large scale dynamic nonlinear optimization problem with complicated constraints. It is difficult to obtain perfect results by traditional optimization approach. This paper proposes the refined genetic algorithms(RGA)with the floating point coding technique to solve this problem, which combines crossover operator based on the probability distribution functions with parameter based mutation operation. An example is used to verify the rationality by comparing the proposed approach with binary coded genetic algorithms. The simulated results are correct with much better convergence speed and high precision. Therefore, the RGA is an efficient method and has potential application in practice.
出处
《电力系统自动化》
EI
CSCD
北大核心
2002年第23期33-36,共4页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目 (5 0 0 790 0 6 )
