Reliability Modeling and Evaluation of Electrical Power Generation using Genetic Algorithm
| Author(s) | : | B Madhu, A.Purna Chander, E.Yadesh Kumar |
| Institution | : | Assistant Professor, EEE department ACE Engineering College, Hyderabad |
| Published In | : | Vol. 4, Issue 12 — December 2017 |
| Page No. | : | 307-312 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Reliability modeling for electrical power Generation is important tasks which can be evaluated using geneticalgorithm [1].The genetic algorithm approach have significant advantages over the conventional methods [2]. ElectricalPower generation modeling is essential to predict available capacity of the plant. Capacity outage probability table is one ofthe Techniques to evaluate the generating station availability, unavailability and generation level for different mode offailure of units [4]. Conventional approaches use a considerable mathematical modeling of the generating units. Thisprocess requires a huge time and it includes least occurrence states also, which may not occur in practically. This paperproposes a Genetic Algorithm (GA) technique to obtain the COPT (Capacity Outage Probability Table) with mostoccurrence states of a generating system. The proposed technique gave an effective approach to construct COPT for thegeneration model.
B Madhu, A.Purna Chander, E.Yadesh Kumar, “Reliability Modeling and Evaluation of Electrical Power Generation using Genetic Algorithm”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 12, pp. 307-312, December 2017.
