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In order to solve the problem of energy-saving optimization and effective control of power system, The decentralized control system is fully studied in this paper, and the decentralized control system is applied to the design of power system; At the same time, the traditional particle swarm intelligence search algorithm is analyzed, and its characteristics and shortcomings are studied. This paper proposes a multi-adaptive particle swarm optimization algorithm based on the traditional PSO energy-saving control method. Compared with the traditional particle swarm search algorithm, the proposed algorithm has higher search accuracy. Combining the advantages of decentralized control system and the proposed algorithm, a new energy-saving optimization control system is designed and realized in this paper. The simulation results show that the new particle swarm algorithm has higher search precision than other particle swarm algorithm under the same conditions. The energy-saving optimization control system using this algorithm can effectively optimize the power consumption, and this system can also reduce part of human resources and has higher practicability.