电力系统及其自动化学报2017，Vol.29Issue(2)：107-111,5.DOI:10.3969/j.issn.1003-8930.2017.02.018
NSGA-II算法的改进及其在风火机组多目标动态组合优化中的应用
Improvement of NSGA-ⅡAlgorithm and Its Application to Multi-objective Dynamic Unit Commitment Optimization with Wind-Thermal Power
王进 1周宇轩 1戴伟 1李亚峰 1宋翼颉2
作者信息
- 1. 长沙理工大学电气与信息工程学院,长沙 410114
- 2. 湖南工业大学电气与信息工程学院,株洲 412007
- 折叠
摘要
Abstract
To solve the dynamic unit commitment optimization with wind-thermal power,and considering the time-cou-pling dynamics and the solution to mixed-integer variables,an algorithm is proposed to improve the non-dominated sort-ing genetic algorithm-II( NSGA-II). With the introduction of the concept of energy-saving and emission reduction ,a multiobjective function is built,which aims to minimize the emission of CO2 and SO2,coal consumption,and start-stop cost. Double-optimization strategy is adopted to solve the discrete start-stop variables and the continuous load distribu-tion variables separately,and fuzzy satisfaction-maximizing method is introduced to make a decision on the Pareto solu-tion set,which is also imbedded into each dynamic solution. The simulation on a 10-unit wind farm shows that the pro-posed method is feasible and effective.关键词
节能减排/机组组合/多目标/最大满意度决策/基于非支配排序的遗传算法-II/双层优化Key words
energy-saving and emission reduction/unit commitment/multi-objective/satisfaction-maximizing deci-sion/non-dominated sorting genetic algorithm-II/double optimization分类
信息技术与安全科学引用本文复制引用
王进,周宇轩,戴伟,李亚峰,宋翼颉..NSGA-II算法的改进及其在风火机组多目标动态组合优化中的应用[J].电力系统及其自动化学报,2017,29(2):107-111,5.
