A probabilistic approach to generation maintenance scheduler with network constraints

被引:22
作者
Marwali, MKC [1 ]
Shahidehpour, SM [1 ]
机构
[1] IIT, Dept Elect & Comp Engn, Chicago, IL 60616 USA
关键词
generation maintenance scheduling; network constraints; optimization models; decomposition techniques; probabilistic methods;
D O I
10.1016/S0142-0615(99)00026-5
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Most generating unit maintenance scheduling packages consider the preventive maintenance schedule of generating units over a one or two year operational planning period in order to minimize the total operating cost while satisfying system energy requirements and maintenance constraints. In a global maintenance scheduling problem, we propose to consider network constraints and generating unit outages in generation maintenance scheduling. The inclusion of network constraints in generating unit maintenance will increase the complexity of the problem, so we decompose the global generator scheduling problem into a master problem and sub-problems using Benders decomposition. At the first stage, a master problem is solved to determine a solution for maintenance schedule decision variables. In the second stage, sub-problems are solved to minimize operating costs while satisfying network constraints and generators' forced outages. Benders cuts based on the solution of the sub-problem are introduced to the master problem for improving the existing solution. The iterative procedure continues until an optimal or near optimal solution is found. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:533 / 545
页数:13
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