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020 ▼a 9780438282605
035 ▼a (MiAaPQ)AAI10969745
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 658
1001 ▼a Alharbi, Abdullah Musaed.
24510 ▼a Power Generation Integrated Operation and Maintenance Scheduling: A study of the Saudi Electricity Company.
260 ▼a [S.l.] : ▼b North Carolina State University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 134 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Thom J. Hodgson.
5021 ▼a Thesis (Ph.D.)--North Carolina State University, 2018.
520 ▼a Maintenance schedules affect power generation units (GU) readiness, and generation schedules impact how often those GUs need to be maintained. Generation and maintenance scheduling (GMS) techniques must consider constraints of both activities at
520 ▼a The compatibility of current published models with the real issues of the Saudi Electricity Company (SEC) is investigated. A new model for generation and maintenance scheduling is introduced. Compared with the most relevant published model, this
520 ▼a The problem is modeled as a Mixed Integer Linear Program (MILP). A Heuristic is introduced to provide an initial solution for the MILP. Both the MILP and the Heuristic produce excellent schedules. Moreover, the schedules achieved savings in tota
520 ▼a The planning horizon is at least 2 years, and the number of GUs in the studied part of the SEC network is about 150 GUs. For the MILP, a partitioning technique was tested and proved efficient in dividing the huge problems into smaller partitions
590 ▼a School code: 0155.
650 4 ▼a Industrial engineering.
690 ▼a 0546
71020 ▼a North Carolina State University. ▼b Industrial and Systems Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0155
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15001252 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자