Abstract:Monthly unit commitment is an important issue in power system operation mode arrangement. With the continuous expansion of power grid, the monthly unit commitment calculation scale increases rapidly. The traditional calculation method of monthly unit commitment can no longer meet the current requirements on calculation efficiency. To this end, the basic concept of distributed computing is introduced and a distributed computing method based on hybrid dimensional particle swarm optimization is proposed. Based on the monthly unit commitment model, a distributed calculation method for the monthly unit commitment problem is designed. By converting the traditional serial computing model to parallel computing one, the overall computing efficiency could be improved. Finally, a case study is constructed on the actual data in a provincial power grid to prove the effectiveness of the proposed method.