부산대학교 도서관

With the ever-increasing penetration of intermittent renewable energy generation in a power system, the emerging energy storage system (ESS) plays an increasingly important role in promoting the accommodation capability of fluctuating renewable energy generation, improving load profile, as well as enhancing operational security and economics. Given this background, an unit commitment based multi-objective optimization problem is first formulated for optimal aggregation and control of multiple types of ESSs, with power system operation economics and the utilization efficiency of ESSs as optimization objectives, and with operation security constraints respected. The multi-objective optimization problem is next transformed into a single-objective optimization problem by weighting different objectives. The built optimization model is non-convex and is then convexified for facilitating the solving procedure. Finally, a modified IEEE 33-bus distribution system is employed to demonstrate the proposed optimal aggregation and control method, and the Pareto front and the compromised optimal solution of the multi-objective optimization problem are obtained.