煤矿发电厂多目标环境经济调度仿真研究
Simulation Study on Multi-Objective EED of Coal Mine Power Plants
郭振科 1陈运启 2满兴中2
作者信息
- 1. 国能乌海能源黄白茨矿业有限责任公司,内蒙古 乌海 016000
- 2. 中煤科工集团重庆研究院有限公司,重庆 400039
- 折叠
摘要
带精英策略的非支配排序遗传算法(NSGA-Ⅱ)在多目标优化领域中被广泛应用.针对煤矿发电厂电力监控系统多目标环境经济调度(EED)问题,为了进一步提高NSGA-Ⅱ算法的搜索能力和种群多样性,避免早期收敛于局部最优,提出了一种新型融合算法TL-NSGA-Ⅱ.通过对IEEE30节点测试系统进行电力系统环境经济调度仿真测试以及和对比其他算法可知,TL-NSGA-Ⅱ算法能够得到更优的Pareto解,说明该算法能够更有效地求解多目标环境经济调度问题.
Abstract
The non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)is widely used in the field of multi-objective optimization.To solve multi-objective environmental economic dispatch(EED)problem,in order to improve the search ability and population diversity of the algorithm and avoid early convergence to local optimum,a new fusion algorithm TL-NSGA-Ⅱ is proposed.The proposed algorithm has been examined and tested on IEEE30 bus test system for solving multi-objective environmental economic dispatch and compared with the other exllent algorithm,it can be seen that the TL-NSGA-Ⅱ algorithm can obtain a better Pareto solution,which shows that the algorithm can effectively solve the multi-objective environmental economic dispatch problem.
关键词
环境经济调度/TL-NSGA-Ⅱ算法/NSGA-Ⅱ算法Key words
EED/TL-NSGA-Ⅱ algorithm/NSGA-Ⅱ algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据