УПРАВЛІННЯ ЕЛЕКТРИЧНИМ НАВАНТАЖЕННЯМ ВИРОБНИЧИХ ОБ’ЄКТІВ ЗА ДОПОМОГОЮ СПОЖИВАЧІВ-РЕГУЛЯТОРІВ

It is shown that in the existing energy sector of Ukraine, basic power generating capacities significantly outnumber shunting capacities, which are essential for efficiently covering electricity needs, especially during periods of peak demand for electricity. The creation of shunting power capacities requires significant funds and, just as importantly, considerable time. Another way to solve this problem is to manage electricity consumption. Reducing electricity consumption by industrial enterprises during peak hours can help to level the load schedules of power systems, which will reduce the required number of shunting power sources to cover the deficit during peak hours and, accordingly, reduce the cost of electricity. At enterprises, load reduction can be achieved at the expense of regulated consumers. To rank and optimize the work of consumer-regulators, a genetic algorithm is proposed - a heuristic search method used to solve optimization and modeling problems by randomly selecting a combination and variation of the desired parameters. A genetic algorithm for selecting consumers-regulators, which will be used to regulate the load, has been studied and built. This model was tested for a chemical industry enterprise producing ammonia.