Reliability Assessment of Power Generation Systems Using Intelligent Search Based on Disparity Theory

Athraa Ali Kadhem, Noor Izzri Abdul Wahab, Ishak Aris, Jasronita Jasni and Ahmed N. Abdalla
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Athraa Ali Kadhem: Department of Electrical and Electronic Engineering, University Putra Malaysia, Selangor 43400, Malaysia
Noor Izzri Abdul Wahab: Department of Electrical and Electronic Engineering, University Putra Malaysia, Selangor 43400, Malaysia
Ishak Aris: Department of Electrical and Electronic Engineering, University Putra Malaysia, Selangor 43400, Malaysia
Jasronita Jasni: Department of Electrical and Electronic Engineering, University Putra Malaysia, Selangor 43400, Malaysia
Ahmed N. Abdalla: Department of Engineering Technology, University Malaysia Pahang, Kuantan 26300, Malaysia

Energies, 2017, vol. 10, issue 3, 1-13

Abstract: The reliability of the generating system adequacy is evaluated based on the ability of the system to satisfy the load demand. In this paper, a novel optimization technique named the disparity evolution genetic algorithm (DEGA) is proposed for reliability assessment of power generation. Disparity evolution is used to enhance the performance of the probability of mutation in a genetic algorithm (GA) by incorporating features from the paradigm into the disparity theory. The DEGA is based on metaheuristic searching for the truncated sampling of state-space for the reliability assessment of power generation system adequacy. Two reliability test systems (IEEE-RTS-79 and (IEEE-RTS-96) are used to demonstrate the effectiveness of the proposed algorithm. The simulation result shows the DEGA can generate a larger variety of the individuals in an early stage of the next population generation. It is also able to estimate the reliability indices accurately.

Keywords: reliability assessment; power generation; disparity theory; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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