State evaluation in composite power system reliability using genetic algorithms guided by fuzzy constraints Conference Paper

abstract

• 2002 IEEE. A new method for composite-system state evaluation using genetic algorithms (GA) is proposed. The objective of GA is to minimize load curtailment for each sampled state. Minimization is based on the DC load flow model. System constraints are represented by fuzzy membership functions. Membership value indicates the degree of satisfaction of each constraint for an individual in a GA population. The GA fitness function is a combination of these membership values. The proposed method has the advantage of allowing sophisticated load curtailment strategies, which lead to more realistic load point indices. Application to a simple test system using different load curtailment philosophies is given.

name of conference

• Proceedings. International Conference on Power System Technology

authors

• Singh, Chanan

published proceedings

• POWERCON 2002: INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS 1-4, PROCEEDINGS

author list (cited authors)

• Samaan, N., & Singh, C.

citation count

• 4

complete list of authors

• Samaan, N||Singh, C

publication date

• January 2002

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

• Genetic Algorithms
• Interconnected Systems
• Power System Reliability
• State Evaluation

Digital Object Identifier (DOI)

• 10.1109/icpst.2002.1053576

International Standard Book Number (ISBN) 10

• 0-7803-7459-2

International Standard Book Number (ISBN) 13

• 9780780374591

start page

• 409

end page

• 414

volume

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Ficpst.2002.1053576