Electric Power Generation Modelling By Using Decimal to Binary Conversion and Genetic Algorithm Technique

Abstract

Generation system reliability assessment is a vital factor for planning the power system that can be performed by using probabilistic or deterministic methods. The probabilistic techniques have more advantages over deterministic methods. However, Probabilistic method involves complicated modelling. Generation modelling is a basic requirement for the assessment of reliability of the system. One known form of the generation model is the Capacity Outage Probability Table (COPT). This paper analyses the different techniques involved in developing COPT such as Decimal to Binary Conversion(DBC) and Genetic Algorithm(GA). The COPT is obtained from two techniques are found to be comparable. The techniques used are proven to be an effective approach to build the generation model.