基于DCS的电力节能优化控制系统的设计与实现

为了解决电力系统的节能优化问题，本文在传统的PSO节能控制方法的基础上，提出了一种多重自适应的粒子群优化算法，应用分散控制系统设计与实现了一种新的电力节能优化控制系统。数值仿真的结果说明了使用所提出的粒子群算法的基于DCS的电力节能优化控制系统在电力调度最佳节点的搜索精确度要高于相同条件下的一般的电力控制系统。使用所提算法的电力节能优化控制系统，能有效地对电力能耗进行优化，且具有较高的实用性。

Design and Realization of Power Saving Optimization Control System Based on DCS

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.