摘要
针对环境经济发电调度问题,提出一种基于评价函数的交互式多目标优化方法并结合改进的粒子群优化的求解方法。构造的总体协调度评价函数可以较好地平衡节能和减排2个优化目标。决策者可以通过调整各单目标满意度来体现其主观愿望。该方法克服了多目标向单目标转化过程中权重系数选择的困难,增强了决策方案选择的互动性。对一个含6台发电机组的系统进行仿真分析,结果验证了该方法在求解环境经济调度问题方面的可行性和有效性。
A way to solve the environmental and economic scheduling problem of power generation is proposed,which combines the evaluation-function-based interactive multi-objective optimization method and the improved particle swarm optimization method. The established evaluation function of comprehensive coordination degree can more effectively balance two optimization objectives:energy conservation and emission reduction,while the decision-maker can flexibly adjust the satisfaction degree of each objective. It avoids the difficult determination of weight coefficients during the conversion from multi-objective to single- objective and enhances the interaction during the process of decision-making. The results of simulative analysis for a 6-generator test system show its feasibility and effectiveness.
出处
《电力自动化设备》
EI
CSCD
北大核心
2013年第5期83-88,共6页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(50767001)
国家高技术研究发展计划(863计划)(2007AA04Z197)
高等学校博士学科点专项科研基金课题(20094501110002)
广西壮族自治区研究生教育创新计划项目(105931003100)~~
关键词
环境经济调度
评价函数
交互式
优化
满意度
模型
发电
environmental and economic scheduling
evaluation function
interaction
optimization
satisfaction degree
models
electric power generation