Research On Maintenance Decision Making Optimization For Distribution Transformer Of Shijiazhuang

Condition based maintenance is favored nowadays. Because compared with other repair mode, Condition based maintenance is more targeted and the effectiveness of maintenance is high. Furthermore, the maintenance costs are reduced. Under the guidance of State Grid Corporation of China, the province company’s comprehensively promote the maintenance work, Shijiazhuang electric power company distribution network maintenance work is fully expanded. Distribution transformer is one of the key equipment of distribution network. And the maintenance of them is attracting more and more attention. This article described the necessity to executive condition-based maintenance on the distribution transformers. After the analysis and comparison of the popular condition based maintenance concept nowadays, Risk Based Maintenance(RBM) is gaining traction around the world because of its advantages. So the maintenance based on risk is applied to the distribution transformers of Shijiazhuang. Taking the failure risk and the maintenance risk and the grid security constraints, maintenance resource constraints, while maintenance constraints into consideration, the distribution transformer’s maintenance plan optimization model based on risk is established. In aspects of optimization algorithm,an improved particle swarm optimization(PSO) algorithm based on Chaotic Search is proposed to solve the optimization model. And the test function is used to verify the superiority of the optimization algorithm. Finally, taking an actual system of Shijiazhuang as an example, particle swarm optimization algorithm based on chaotic search is used to optimize the transformers’ maintenance plan. And then the proposed model and algorithm is verified to be rational and effective.