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Evaluation of black-start schemes employing entropy weight-based decision-making theory
- Source :
- Journal of Energy Engineering. June, 2010, Vol. 136 Issue 2, p42, 8 p.
- Publication Year :
- 2010
-
Abstract
- Optimization of schemes for black-start is one of the most important factors determining the speed of power system restoration after either a global blackout or a local outage. In this paper a novel method employing the entropy weight-based decision-making theory is proposed for this application. By using the method for the decision making in black start, the subjective weights acquired from knowledge and experience of experts could be used in conjunction with the objective weights (entropy weighs) deduced from some closely related indices. Obviously, the developed method can greatly improve the performance in power system restoration by overcoming the shortcomings of conventional methods that only use either the subjective or the objective weights. Furthermore, the proposed method is applicable in power systems with different levels of black-start experience for assisting the optimal black-start decision making. It is shown that the proposed method is suitable for power systems with different levels of black-start experience. DOI: 10.1061/(ASCE)EY.1943-7897.0000023 CE Database subject headings: Electric power; Decision making; Entropy methods. Author keywords: Power system blackout and restoration; Black start; Decision making; Entropy weight.
- Subjects :
- Mathematical optimization -- Research
Decision-making -- Research
Electric power systems -- United States
Electric power systems -- Management
Electric power systems -- Maintenance and repair
Entropy (Physics) -- Research
Power failure -- Evaluation
Company business management
Engineering and manufacturing industries
Science and technology
Subjects
Details
- Language :
- English
- ISSN :
- 07339402
- Volume :
- 136
- Issue :
- 2
- Database :
- Gale General OneFile
- Journal :
- Journal of Energy Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.227652412