optimizing Reactive Power Distribution in Power System Using Bat Search Algorithm

Modern energy systems (ES) are complex, multiply connected, spatially separated hierarchical objects that function under conditions of the variability in their structure, parameters and operating modes under numerous external and internal disturbances, both systematic and random. Optimal management of normal EPS modes is to ensure a reliable supply of electricity to consumers with the required quality at minimum costs. Today we know a lot of optimization methods for various problems arising in the energy sector. This paper presents solving technical problems with the help of methods of artificial intelligence and evolutionary algorithms. The concept of bat search algorithm (BSA) is based on the use of decentralized systems, consisting of many simple monotonous elements, indirectly interacting with each other and with the environment. The genetic algorithm GA and simulated annealing algorithm SA are combined methods in which two groups of optimization methods are combined: search and iterative. The results of calculation of electrical circuits allow us to assume that the developed adaptive BSA, GA and SA algorithms are applicable for obtaining effective solutions to the problem of selecting optimal modes of equipment operation in ES.