Zejian Qiu, Zhuowen Zhu, Linni Huang, Weijian Lai, and Guoquan Xue
Distributed generation, output uncertainty, distribution network,condition-based maintenance, bi-level optimisation
With distributed power generation’s wide application, its output uncertainty due to natural factors causes dynamic changes in distribution network (DNet) load and power flow. To enhance operational reliability, this study constructs an uncertainty model for distributed power output, using an interval model to characterise it. A fusion algorithm of particle swarm optimisation and gravity search solves the model. An optimised equipment maintenance strategy is proposed: the upper layer minimises total maintenance cost, and the lower layer calculates load transfer cost to determine plans. Simulations on the improved IEEE 33 system show the algorithm has fast convergence and high precision. The strategy achieves a total maintenance cost of 189,000 yuan, with 1.2 h/household·year outage duration and 0.8 times/household·year frequency. Under different distributed power penetration rates, it outperforms traditional periodic maintenance and other strategies in costs and reliability, providing a scientific basis for DNE maintenance.
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