Electric power system functioning in conditions of extreme weather events in the presence of distributed generation based on renewable energy sources

Significant number of accidents in electric power systems are caused by the effects of extreme weather events. In such conditions, providing consumers with electric energy is especially important. This study is devoted to solving this problem, in which a decision-making model has been developed that takes into account distributed generation based on renewable energy sources. The proposed model is a procedure for optimizing the established electric power mode. Optimization is performed using a genetic algorithm. The regulated parameters are the active capacities of electric power plants, the voltage on the busbars of generators of these stations, and the transformation coefficients. The values of these parameters are determined in case of disconnection of one and two overhead power lines using the example of a modified IEEE-39 circuit. The results show that distributed generation makes it possible to provide full power supply to consumers in a larger number of these emergencies (by 13.2% and 27.2%, respectively). With the most optimal location and generation capacity based on renewable energy sources, full power supply to consumers is achieved in 100% and 98.3% of emergency situations, respectively. The proposed decision-making model has a high potential to expand its functionality.