Adequacy assessment of power system generation using a modified simple genetic algorithm Academic Article

abstract

• This paper presents a new method for the assessment of generation system reliability. The proposed method is based on a modified version of the simple genetic algorithm. In this method, a genetic algorithm is used, not for its traditional objective of optimization, but as a search tool to truncate the probability state space and to track the most probable failure states. The genetic algorithm stores system states, in which there is generation deficiency to supply system maximum load, in a state array. The given load pattern is then convoluted with the state array to obtain adequacy indices. A state array is also used to obtain useful information about the contribution of different states and generation unit combinations to the probability of system failure.

authors

• Singh, Chanan

published proceedings

• IEEE TRANSACTIONS ON POWER SYSTEMS

author list (cited authors)

• Samaan, N., & Singh, C.

citation count

• 58

complete list of authors

• Samaan, N||Singh, C

publication date

• November 2002

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON POWER SYSTEMS  Journal

keywords

• Genetic Algorithms
• Power Generation Reliability

Digital Object Identifier (DOI)

• 10.1109/TPWRS.2002.804994

start page

• 974

end page

• 981

volume

• 17

issue

• 4

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Ftpwrs.2002.804994