Energy-intensive manufacturing enterprises as active players in demand side management system

Nowadays, one of the primary problems in the energy industry is ensuring rational operating conditions of electric power systems under variable loads and with regard to cost-effectiveness and technical capabilities of power plants. Supply fluctuated load considerably increases the costs in the power systems. The price of electricity in the case by changed load is generally higher than by constant load. This price cannot be decreased without cooperation with consumers. The last decade has shown an intensive adoption of new smart tools and technologies for automation in the electricity supply systems, which make it possible to increase the speed of receiving, transferring, processing and mapping the information, and to implement new capabilities of active behavior of consumers in managing their electricity demand on the basis of market mechanisms. The paper addresses a technique for the optimization of daily load curve for the case of a specified tariff mix. The genetic algorithms are used to apply the cost benefits. The usefulness of this method is illustrated by two case studies of energy-intensive manufacturing enterprises as active consumers and players on the energy market