摘要
通过综合考虑发电费用最小及污染气体排放量最小这两个调度目标建立了水火电力系统多目标环境经济调度模型,并提出一种混合多目标差分进化算法对模型进行求解。该算法针对多目标优化问题的特点对差分进化算法的算子进行了修正,并基于混沌序列提出一种参数自适应调整策略以克服算法参数率定的难题。设计了一种二次变异算子来防止算法陷入局部最优。针对不同类型约束特性提出一种约束处理方法。实例计算结果及对比分析验证了所提方法的可行性和有效性,为实现水火电力系统实现经济与减排双目标均衡优化提供了一条崭新途径。
A multi-objective economic environmental scheduling model for hydro-thermal power system is proposed by considering the objective of minimal power cost and pollutions emissions comprehensively. Meanwhile, a hybrid multi-objective differential evolution algorithm is proposed to solve this problem. The proposed algorithm modifies the evolution operators of differential evolution algorithm （DE） according to the characteristics of multi-objective optimization problem, and a dynamic parameter settings strategy is designed for DE based on chaotic sequences. Moreover, a secondary mutation operator is presented to avoid premature convergence of the proposed method. Finally, novel heuristic constraints handle strategies are presented to deal with the complicated constraints of the problem. Simulation results and the comparison with other methods verify the feasibility and validity, which provides a brand new way for realizing the equilibrium optimization of ecnomic and emission objectives in hydro-thermal power system.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2011年第23期93-100,共8页
Power System Protection and Control
基金
国家科技支撑计划重大项目(2008BAB29B08)
国家重点基础研究计划(973)课题(2007CB714107)
高等学校博士学科点科研基金(20100141110012)~~
关键词
水火电力系统
多目标优化
环境经济调度
差分进化
混沌序列
约束处理
hydro-thermal power system
multi-objective optimization environmental economic scheduling
differential evolutionalgorithm
chaotic sequences
constraints handle
