Control of distributed generation sources in order to reduce the cost of electricity production using the combined fuzzy-gravitational method

The expansion of big cities, the ever-increasing demand for electricity consumption, the use of renewable energy sources, the creation of an electricity market, the high cost of creating new electrical networks and many other issues have caused the use of distributed generation in the power system to increase; Therefore, with the increase in the share of distributed generation in the supply of electrical energy, planning the use of these units is considered one of the important issues in planning the development of production and distribution networks. Wind and solar power plants are among the most important renewable sources that are used to produce electricity today, but these sources are somewhat unpredictable and their injected power to the grid fluctuates. In these systems, energy storage systems are usually used to compensate in case of power loss, or in case of power increase, to store energy in itself to inject it into the power grid when needed. The simultaneous use of several distributed generation sources of production should be such that the cost of production and the amount of losses are minimal. The lifespan of the batteries used in these cases is completely dependent on the number of charges and discharges and the frequency of the current passing through them. So, the life of the used battery can also be one of the influential parameters in how to plan this system for production. In this research, a network with three wind turbine units, three solar power generation units and three battery units is considered. This system is programmed using the optimization method of gravity search based on fuzzy logic in such a way that the cost of production and the amount of losses are minimized and the life of the battery is also increased.