Optimization and learning of load restoration strategies

Author:

Kostic Tatjana,Germond Alain J,Alba Juan J

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference11 articles.

1. A framework for power system restoration following a major power failure;Ancona;IEEE Transactions on Power Systems,1995

2. Goldberg, D. E., Genetic algorithms. In Search, Optimization and Machine Learning. Addison-Wesley, Reading, MA, 1989.

3. Davis, L., Handbook of Genetic Algorithms. Van Nostrand Reinhold, New York, 1991, p. 385.

4. Kostic, T., Dynamic simulator as a part of an expert system for power system restoration. Faculty of Electrotechnics, Belgrade University, Belgrade, 1994.

5. Kostic, T., Decision aid function for restoration of transmission power systems after a blackout. Département d'électricité, Laboratoire de réseaux d'énergie électrique, École Polytechnique Fédérale de Lausanne, Lausanne, 1997.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Second-order conic programming model for load restoration considering uncertainty of load increment based on information gap decision theory;International Journal of Electrical Power & Energy Systems;2019-02

2. Genetic algorithms to solve the power system restoration planning problem;Engineering with Computers;2009-06-18

3. Power system restoration — a bibliographical survey;International Journal of Electrical Power & Energy Systems;2001-03

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