基于杜鹃算法的变压器全寿命周期成本优化研究

变压器运维方式影响其运行可靠性和检修费用,进而影响全寿命周期成本。因此,优化运维策略对降低全生命周期成本具有重要的意义。采用威布尔分布的故障概率模型,提出了寿命效率指数概念并建立寿命效率指数模型来定量衡量检修延长变压器运行寿命的作用。分析了变压器从设计、购置、维修直到退役的全寿命周期成本。以全寿命周期年均成本最低为目标函数,在运行可靠性、检修程度和寿命效率指数等约束条件下,将杜鹃算法用于运维策略中检修时间、检修程度和运行寿命参数寻优,并将优化结果与粒子群算法(PSO)、遗传算法(GA)进行比较。结果表明杜鹃算法得出的结果更好,能进一步降低年均费用和提高寿命效率指数,可以为变压器实际运行与维护提供一定的参考依据。

Research on transformer life cycle cost based on cuckoo optimization algorithm

Transformer operation and maintenance methods have an influence on its operational reliability and maintenance cost, which can influence the life cycle cost further. Therefore, optimizing the operation and maintenance strategy is of great significance to reduce the life cycle cost. Based on the Weibull distribution failure probability model, the life efficiency index is proposed and established to quantitatively measure the effect of maintenance on the operating life of the transformer. The total life cycle cost of transformers from design, purchase, maintenance to decommissioning is analyzed. The average annual cost per life cycle is chosen as the objective function. Under the constraints of operational reliability, maintenance levels and life efficiency index, the cuckoo algorithm is used to optimize the maintenance time, maintenance level, and operating life parameters in the operation and maintenance strategy. Comparing to Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), the results obtained by the cuckoo algorithm are better. Not only the annual average cost is less, but also life efficiency index is higher, which can provide certain guarantees for transformer operation and maintenance. This work is supported by National Natural Science Foundation of China (No. 2016YFB0101900) and Science and Technology Project of Jiangsu Electric Power Company (No. SGJSJX00SZJS1601616).