| With the growing crisis of the global energy crisis and the increasing demand for clean energy, distributed generation (DG) has aroused people’s attention for its clean. At the same time, the infiltration of large numbers of DG into distributed power network will have some influence in the operation and maintenance of the power grid. Distribution power grid maintenance, the daily work of the grid, is an important job to protect security, reliability and economical operation of grid. How to develop a scientific and reasonable maintenance plan in distributed power grid with the access of the DG has an important theoretical and practical significance. The main work is as follows:(1) This article describes and analyzes of document on the DG and the optimization of maintenance plan, and summarize optimization methods and algorithms in the document.(2) This paper describes the development of DG and maintenance plan, and make research on the influence of DG on the maintenance plan distributed power grid. Generally, DG on distributed power grid is regarded as a negative load, whose character of time-varying is neglected. That is not fully utilized of DG’s ability to regulate. By building DG’s classification model, a power-supply strategy is proposed that outage region with DG can be able to restore power. Then the establishment the model of DG regulating line and restoring power.(3) By analyzing the factors that maintenance plan be concerned, the optimization problem of maintenance plan is decomposed into primary optimization problem (maintenance-time optimization) and sub-optimization problems (load-transfer optimization problems).(4) According to the characteristic of optimization problems of maintenance plan, an adaptive genetic algorithm is used to simulate the optimization model of maintenance time by an example. To overcome the problem that a large number of infeasible solutions appear in distribution network reconfiguration, this paper presents a method to quickly determine the network’radioactivity, which was designed in line with the genetic algorithm heuristic for solving reconstruction. Finally, containing distributed power distribution network load transfer model is simulated, which verify the feasibility of the model and algorithms proposed. |