Flexible generator maintenance scheduling based on subjective relaxation of constraints
作者:
Zhiyong Miao,
Keiichiro Yasuda,
Ryuichi Yokoyama,
期刊:
Electrical Engineering in Japan
(WILEY Available online 1996)
卷期:
Volume 116,
issue 1
页码: 55-69
ISSN:0424-7760
年代: 1996
DOI:10.1002/eej.4391160106
出版商: Wiley Subscription Services, Inc., A Wiley Company
关键词: Power system engineering;fuzzy mathematical programming;decision making;generator maintenance scheduling;branch‐and‐bound method
数据来源: WILEY
摘要:
AbstractThis paper presents a fuzzy‐based method for determining a flexible generator maintenance scheduling by means of subjective relaxation of constraints imposed on the maintenance scheduling problem. The constraints are divided into hard (crisp) constraint set and soft (fuzzy) constraint set according to reflecting conditions which surround power systems. The problem is formulated as a fuzzy mathematical programming problem and solved with the fuzzy branch‐and‐bound method using Bellman‐Zadeh maximizing decision. The proposed approach provides not only a new flexible concept of planning problems in power systems, but also natural expansion of conventional approaches based on crisp set theory. The effectiveness and feasibility of the proposed approach are demonstrated on two typical power system models which consist of 15 generators and 60 generators, respe
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