In this paper, a unified model of island division and network reconstruction of active distribution network including distributed power supply and energy storage is constructed, and the fault maintenance strategy and load demand response strategy are considered to realize the integrated operation of "source-network-load-storage". Then the second order cone relaxation technique is used for convex relaxation, and the original model is transformed into a standard mixed integer second order cone model, so as to reduce the complexity of the solution. Finally, IEEE 33 node active distribution network is used to verify the superiority of the proposed fault recovery strategy.
A zonal fault location model based on the improved binary dragonfly algorithm is proposed to solve the problem of fast and fault-tolerant fault location in multi-branch distribution networks containing distributed power sources. Firstly, a chaotic mapping strategy is introduced in the initialization stage of the algorithm population to improve the initial population's quality. The linear inertia weights of the original dragonfly algorithm are nonlinearly enhanced to improve the convergence speed of the algorithm. The equivalent partitioning model of distribution networks with distributed power sources is established based on the "black box method," and a location correction mechanism is added to guarantee location accuracy. Finally, the simulation is verified in a multi-branch distribution network with distributed power supply. Compared with the traditional binary dragonfly algorithm partitioning model, the number of iterations of localization is reduced. In addition, the improved binary dragonfly partitioning model can quickly and accurately locate the fault section for different fault locations and aberration points.
In order to further improve the efficiency and reliability of the active distribution net-work in the process of failure recovery, based on the IBPSO-SA algorithm, the failure recovery analysis of the active distribution network with a high proportion of distributed power sources is carried out. On the basis of preliminary isolated island partitioning, the three objective functions of the largest total amount of important load recovery, the smallest network loss, and the smallest number of switching operations are considered comprehensively. The IBPSO-SA algorithm is used to solve the optimal fault recovery strategy. The IEEE33-node distribution network model is used for simulation verification. The results show that the time-varying and load characteristic models of photovoltaic energy storage systems are superior, and the active distribution network fault recovery strategy based on the IBPSO-SA algorithm can reliably restore power supply.
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