Development and testing of the genetic algorithm to select a scenario of distributed generation power supply system

Abstract

The rapid development of small distributed energy economy requires the justification and design of methods and models for planning the development of energy systems using distributed generation sources. We have studied the possibility of using the genetic algorithm to solve the problem of selecting a scenario of distributed generation power supply system. To do this, a problem-solving mechanism was developed in the MATLAB environment based on the genetic algorithm and its program code was built. In order to test the created genetic algorithm for a hypothetical large consumer of electrical and heat power with typical load curves, an optimal scenario of a power supply system based on distributed generation was searched. The analysis of the calculation results carried out using the proposed algorithm, evaluation of the model's behavior when the initial data changes, indicate its efficiency and effectiveness.