摘要
机组组合问题本质上是不确定性优化问题,随着以风力发电为代表的可再生分布式发电大量接入电网,该问题的随机性更加突出。分析了基于方案树的随机规划、模糊优化和机会约束规划3种不同的技术,从所需数据量、计算复杂度、对参数的依赖性和求解方法等方面进行了定性比较和评述。结果表明,3种方法在不同的情况下都有其各自的优势,需根据实际情况选择合理的处理方法。
As the issue associated with uncertainty optimization in essence,the handling methods for uncertain unit commitment are becoming more and more important as a large number of renewable distributed power generation equipments represented by wind power are integrated into power grid.Three different technology including stochastic programming,fuzzy optimization and chance-constrained programming based on scheme tree are analyzed just from the aspects of essential data,the complexity of the calculation,the dependence of parameters and the solving methods.Since any of the three kinds of technology has its own advantages,choice may be made according to the actual situation.
出处
《江苏电机工程》
2010年第5期1-5,10,共6页
Jiangsu Electrical Engineering
基金
国家自然科学基金项目(50607003)
关键词
机组组合
不确定性
随机规划
模糊优化
机会约束规划
unit commitment
uncertainty
stochastic programming
fuzzy optimization
chance-constrained programming
