大型工业企业生产负荷平抑优化策略  

Optimization Strategy of Production Load Leveling for Large Industrial Enterprises

作　　者：刘树[1] 王元超[2] 石山[1] 屠黎明[1] 张高言 梁宇 毛承雄[2] 

机构地区：[1]北京四方继保自动化股份有限公司,北京100085 [2]华中科技大学电气与电子工程学院,武汉430074

出　　处：《电力系统及其自动化学报》2017年第10期138-144,共7页Proceedings of the CSU-EPSA

摘　　要：大型工业企业生产负荷大多为冲击性负荷,将会对电力系统、用电设备以及生产等造成影响。基于电力系统"削峰填谷"基本思想,提出一种负荷分时交错的平抑优化策略,对大型工业企业生产负荷进行平抑优化研究。以钢铁企业电弧炉炼钢为例,在给出单台电弧炉负荷模型基础上,建立多台电弧炉负荷平抑优化模型,然后采用遗传算法-粒子群优化GA-PSO(genetic algorithm-particle swarm optimization)算法对优化模型进行求解。选取3种典型的电弧炉有功负荷作为算例,对比分析其在同时同步运行和分时交错运行两种情况下的负荷波动大小。结果表明,所提出的优化策略具有明显的负荷平抑效果。Most of the production loads in large industrial enterprises are impact loads,which will have an obvious im-pact on the power system,electrical equipment and production,etc. Based on the theory of'Peak load shifting'in pow-er system,a load leveling strategy of time-sharing operation is proposed to stabilize the loads in large industrial enter-prises. With the electric arc furnaces used in iron and steel enterprises as an example,a load leveling model of multipleelectric arc furnaces is built based on the power load model of single electric arc furnace. Moreover,a genetic algorithm-particle swarm optimization(GA-PSO)algorithm is adopted to solve the optimization model. The active power loads ofthree typical electric arc furnaces are selected as numerical examples,and their load fluctuations under synchronous op-eration and time-sharing operation are analyzed contrastively. The results indicate that the proposed optimization strate-gy is effective in load leveling.

关 键 词：大型工业企业 负荷平抑 分时交错 电弧炉 GA-PSO 

分 类 号：TM714[电气工程—电力系统及自动化]