DEVELOPMENT OF METHODS FOR SELECTING THE OPTIMAL COMPOSITION OF EQUIPMENT IN POWER PLANTS OPERATING WITH RENEWABLE ENERGY RESOURCES

Abstract

<p>In modern conditions of intensive increasing the electricity consumption in all spheres<br>of human activity, limited hydrocarbon fuel reserves, as well as the severity of environmental<br>problems in the energy sector require the development and implementation of more effective methods<br>for the construction and operation of power plants in basis of renewable energy resources, primarily<br>solar and wind energy. The design of autonomous hybrid systems with stations using such energy<br>resources involves, in particular, the selection of the optimal composition of the main equipment.<br>Despite the current existence of a number of developments to solve this problem, the issues of<br>improving them by taking into account all limiting and influencing factors, increasing the accuracy<br>of optimization, remains an urgent task. This paper proposes an effective mathematical model and<br>algorithm for selecting the optimal composition of units in autonomous hybrid systems containing<br>solar and wind stations, as well as batteries, taking into account all factors. The proposed algorithm<br>involves solving the problem by reducing it to a linear programming problem and using the simplex<br>method. The results of a study of the effectiveness of the proposed model and optimization algorithm<br>are presented. Based on the results of the calculation experiments performed, it was revealed that the<br>proposed model and algorithm for optimizing the composition of equipment in an autonomous hybrid<br>system has good computational quality and high calculation accuracy.</p>

Keywords

Keywords are not provided.

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