Energy Consumption Conditions Optimization of the Autonomous System Based on Carbon-Free Energy

The paper presents the optimization of energy consumption modes by generating consumers in an autonomous electric power system using alternative energy sources. A method and an algorithm for optimizing energy consumption is proposed that minimizes the financial costs of several electrical consumers having choice of power supply from renewable (water resources) and alternative (wind and solar) energy sources, including an energy storage device. A hallmark of the model is the energy storage device accounting, due to some unpredictability of alternative energy sources generation and a disconnect with the central power system. The optimization is based on a linear programming method with variable constraints on a daily interval. The study object is the autonomous power system of the Pamirs, where computational experiments were carried out and the conditions for obtaining optimal results at different capacities of the energy storage devices were compared. The study showed that there is no need for optimization during the summer period, since the entire electrical load can be covered by the region’s hydroelectric power plants. The research results and computational experiments are given in tables and figures. Their systematic analysis shows that each generating consumer can independently minimize their electric power costs and maximize interchange gain.