Optimizing the composition of aggregates in an autonomous system with a wind power plant

Abstract

Relevance: In modern conditions of intensive increase in electricity consumption, limited hydrocarbon fuel reserves, as well as the severity of environmental problems in the energy sector, it is important to develop and implement more advanced methods for the design and operation of power plants operating on renewable energy resources. One of the main tasks in designing autonomous systems with stations using these types of energy resources is choosing the optimal composition of the equipment used. Despite the current existence of a number of developments and programs to solve this problem, improving them by taking into account all limiting and influencing factors, increasing the reliability and accuracy of optimization calculations remains as an urgent task.

Aim: is to develop and implement more improved methods of designing and operating power plants working on renewable energy resources.Methods: an effective mathematical model for choosing the optimal composition of autonomous system equipment, which includes a wind power plant and a storage battery, and an algorithm based on solving it by applying the simplex method to the problem of linear programming is proposed.Results: the effectiveness of the mathematical model and optimization algorithm is explained by the optimal selection of parameters of wind units and accumulator batteries in an autonomous system with a consumer operating according to a given daily load schedule.