摘要
就节能减排下的机组组合问题,通过一价格惩罚因子将传统的双目标优化问题转化为环境约束下的单目标优化问题,提出了求解该问题的二层规划方法。该方法基于二进制编码,通过一种改进蚁群算法选取上层机组的最优启停,并用二次规划处理下层负荷的优化分配。最后,通过6机系统在24小时内的算例仿真验证了该方案的可行性及有效性。
The common bi -objective model of the unit commitment problem considering both economic load dispatching and economic emission dispatching can be converted to a single objective optimization by adding a price penalty factor. A bilevel programming method is proposed to solve this environmental constrained problem. Based on a binary coding technique, the upper level optimization of unit status is handled by an improved ant colony algorithm, while the lower level optimization of load dispatching is handled by quadratic programming. Finally, the simulation results of 6 - unit system with a scheduling time horizon of 24 hours demonstrate the feasibility and the effectiveness of the proposed method in solving the environmental constrained unit commitment problem.
出处
《四川电力技术》
2009年第2期19-23,84,共6页
Sichuan Electric Power Technology
基金
国家重点基础研究发展计划项目(973项目)(2004CB217905)
关键词
机组组合
环境约束
蚁群算法
二层规划
unit commitment
environmental constraint
ant colony optimization
bilevel programming
