能源互联背景下热电联供系统的优化调度  

Optimal Schedule of CHP Under the Background of Energy Interconnection

作　　者：孙璐[1] 徐青山[1] 李国栋[2] 王旭东[2] 蒋菱[2] 戚艳[2] 

机构地区：[1]东南大学电气工程学院,江苏南京210096 [2]国网天津市电力公司电力科学研究院,天津300384

出　　处：《电器与能效管理技术》2017年第8期61-67,共7页Electrical & Energy Management Technology

基　　金：国家电网公司总部科技项目(SGTJDK00DWJS1500100)

摘　　要：建立了热电联供系统中电源设备和供热的辅助联供设备的数学模型,在计及热电负荷约束和设备自身运行特性的基础上,以成本最低为系统运行的优化目标进行调度。考虑到传统遗传算法具有易早熟、速度慢等缺点,结合精英策略,更改适应度函数,采用分层算法,得到改进后的分层精英遗传算法作为优化的算法,将电网调度转化为可求解的优化问题。最后,针对特定用户负荷需求,提出了优化调度的策略,验证了算法对比传统遗传算法在种群多样性和收敛速度等方面的优越性。This paper established mathematical models of two kinds of equipment. One is the other is auxiliary equipment used to satisfy thermal load. Then, in light of load constraints and operatingcharacteristics of equipment,an economic optimal schedule of combined heat and power （ CHP） system was accomplished. Due to the disadvantages of traditional genetic algorithm! GA） that it is apt to premature and slow, elitist strategy and hierarchical algorithmwere combined with genetic algorithm. Hierarchical elitist strategic genalgorithm （ HEGA） was selected as optimization algorithm and grid scheduling was transformed as an optimizationproblem that can be solved. Finally,specific load demand was chosen as an example,and optimal schedulingstrategy was proposed for meeting the demand. The result demonstrates that HEGA is superior to diversity and convergence speed.

关 键 词：热电联供 优化调度 遗传算法 精英策略 分层算法 

分 类 号：TM611[电气工程—电力系统及自动化]