Designing a tariff structure for electricity consumed by industry in order to manage the network peak with an emphasis on agent based modeling

The increasing growth of electricity consumption in recent years has made its demand management a vital issue in the field of energy. One of the important actors in the field of electricity consumption are industries, which requires more attention to this field. In 2019, the country's electricity consumption in the industrial sector was 34.7%, therefore, it will be necessary to take measures to change the behavior of electric energy consumers in the industrial sector, especially during peak consumption times. For this reason, in line with global experiences, we can expect the consumption pattern in this sector to be revised by revising the tariff structures of the industrial sector. In this research, a new tariff structure has been proposed by replacing price-quantity packages instead of a fixed tariff at the time of peak consumption.Also, to measure the effectiveness of the proposed tariff structures, the results were evaluated for an industrial town with 62 subscribers in Mazandaran with an agent-based approach. The results obtained from the simulation show that by applying this structure to the subscribers, the average peak load demand can be reduced by 2.57% to 9.51%