摘要
在节能调度背景下,为提高水火电力系统运行的综合经济性,针对含有梯级水电站的水火电力系统,构建兼顾节能、用水和电网间协调的多目标优化调度模型。为对其进行有效求解,以分析数据包络分析有效性与Pareto有效解等价性理论为基础,提出以优化目标和约束条件违背量为CCR-I模型输入和输出指标并融合仿电磁学算法的多目标优化调度模型求解新方法。以一个含有8个梯级水电站和10个火电厂的水火电力系统为例进行仿真分析,结果表明所提方法求解时无需采用权重系数、层级选择及量纲统一等步骤,与以决策变量为输入指标的方法相比,CCR-I模型的变量个数减少近5倍,求解效率高,且可利用数据包络分析值和优化目标双重准则确定调度方案,从而实现燃料、水能资源和网损间的合理协调。
In energy-saving scheduling background,in order to improve the integrated economy of hydrothermal power systems with cascade hydroelectric plants,a multi-objective optimization model which can make the coordination among energy,water resources and power grids was presented on the basis of considering the effect of hydroelectric coupling characteristics,the future water regulation and power grid losses.A novel multi-objective solution method with electromagnetism-like mechanism（ELM） and data envelopment analysis（DEA） was presented on the basis of the equivalence theory between Pareto efficient solution and effectiveness of DEA,which has taken optimization indexes and constraint violations as inputs and outputs.An example with 8 cascade hydroelectric plants and 10 thermal plants was executed.The simulation results show that the proposed method can make the best coordination among fuels,water resources and power grid losses according to DEA value and optimization objectives without use of weights,level selection and dimensional unified procedure.By comparing with the method taking the decision variables as input indexes,the number of variables of CCR-I model was reduced nearly 5 times,which makes the novel method have highly efficiency and has good application prospect in future.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2013年第4期53-61,8,共9页
Proceedings of the CSEE
基金
国家自然科学基金项目(50767001
51167003)
国家863高技术基金项目(2007AA04Z197)
高等学校博士学科点专项科研基金资助项目(20094501110002)~~
关键词
水火电力系统
梯级水电站
火电厂
多目标优化调度
仿电磁学算法
数据包络分析
hydrothermal power systems
cascade hydroelectric plants
thermal plants
multi-objective optimization scheduling
electromagnetism-like mechanism（ELM）
data envelopment analysis（DEA）
