Optimization methods of the size of hybrid energy complexes powered by renewable energy sources

The paper aims to analyze existing and developing optimization methods used in the field of designing hybrid energy complexes and identify the most promising areas of development. In the course of a systematic review of scientific literature in this field, the method of meta-analysis of published articles was used. The paper analyzes various optimization methods for hybrid energy complexes, which include wind and solar modules, as well as an electric power storage module. It presents an idea about the applicability of the optimization methods under consideration in real-world scenarios, taking into account such factors as the cost of computing power, the rate of convergence, and the difficulty of implementation. In addition, it highlights the most frequently used optimization criteria divided into two groups: reliability criteria and economic criteria. The LPSP indicator (probability of power supply disruption) is the most common criterion for evaluating the reliability of a hybrid energy complex. Optimization methods were divided into traditional and modern ones, and a group of hybrid methods combining two or more algorithms. The paper highlights the peculiarities, the existing advantages and disadvantages of various optimization methods. The literature analysis in the field of hybrid energy complexes optimization has shown that the most promising methods include elements of artificial intelligence, in particular, evolutionary and metaheuristic algorithms. The study also demonstrated the advantage of using hybrid methods, which make it possible to use the strengths of various methods, while compensating for their disadvantages.