|
Journal of Zhejiang University SCIENCE C
ISSN 1869-1951(Print), 1869-196x(Online), Monthly
2014 Vol.15 No.11 P.1035-1047
Generation maintenance scheduling based on multiple objectives and their relationship analysis
Abstract: In a market environment of power systems, each producer pursues its maximal profit while the independent system operator is in charge of the system reliability and the minimization of the total generation cost when generating the generation maintenance scheduling (GMS). Thus, the GMS is inherently a multi-objective optimization problem as its objectives usually conflict with each other. This paper proposes a multi-objective GMS model in a market environment which includes three types of objectives, i.e., each producer’s profit, the system reliability, and the total generation cost. The GMS model has been solved by the group search optimizer with multiple producers (GSOMP) on two test systems. The simulation results show that the model is well solved by the GSOMP with a set of evenly distributed Pareto-optimal solutions obtained. The simulation results also illustrate that one producer’s profit conflicts with another one’s, that the total generation cost does not conflict with the profit of the producer possessing the cheapest units while the total generation cost conflicts with the other producers’ profits, and that the reliability objective conflicts with the other objectives.
Key words: Generation maintenance scheduling, Market environment, Multi-objective optimization
创新要点:提出一种更适于进化算法求解的发电检修计划模型,提高了求解效率。分析了电力市场环境下发电检修计划中不同目标之间的关系及其成因。
研究方法:为使发电检修计划模型更适于被进化算法求解,发电机组的检修变量采用整数编码,在线状态变量和启动状态变量均转化成为由机组出力变量表示的中间变量。对此多目标优化模型,采用带有多发现者的群搜索优化算法(GSOMP)求解。
重要结论:仿真分析表明拥有最便宜机组的发电商的利益最大化目标与系统总发电费用目标并不构成冲突。本文提出的系统可靠性目标函数,在高、低负荷时段均有利于保持一定的备用容量。
关键词组:
References:
Open peer comments: Debate/Discuss/Question/Opinion
<1>
DOI:
10.1631/jzus.C1400030
CLC number:
TM732
Download Full Text:
Downloaded:
3168
Download summary:
<Click Here>Downloaded:
2229Clicked:
8042
Cited:
3
On-line Access:
2024-08-27
Received:
2023-10-17
Revision Accepted:
2024-05-08
Crosschecked:
2014-10-16