Research On Reconfiguration Of Smart Distribution Networks

With the development of smart distribution network, more and more distributed generation (DG) access distribution network. Distributed generation access distribution network, which will affect the operation, control and management of distribution network. Rational utilization of DG through distribution network reconfiguration, which can help to enhance the reliability and economy of power system. The reasonable utilization of DG can optimize the operation of the power system, however it makes the distribution network reconfiguration more complex. In this paper, we study the optimal reconfiguration and fault recovery method for smart distribution networks with distributed generation.Firstly, this paper analyses four typical distributed power operation control modes and the grid connected interface type, classifies solar power, wind power, micro-turbine and fuel cell into PI、 PQ、 PQ(V) and PV type nodes. Then the models of four type nodes in power flow calculation are presented. Simulation with IEEE 33 buses system was carried out to illustrate the validity of the proposed method. The results show that the presented method is available to solve power flow of distribution network with DGs.Then, a reconfiguration model with DGs considering for active power loss, load balancing and node voltage quality coordination is presented in this paper, then using the improved double population genetic(IDPG) algorithm to solve the reconfiguration model. A chaotic local search strategy with adaptive rule is proposed to improve the global searching ability. The reliability and validity of the proposed method are verified by IEEE 33-bus system and IEEE 69-bus system without DGs, with single-type DGs and multi-type DGs.Finally, considering distribution system fault service reconfiguration, this paper presents a distribution system service reconfiguration method with DGs islanding strategy. The island partition is applied for power load in out-of-service area by considering the load priority on the basis of the operation performance of DGs. The failure load of the downstream of the fault point is divided into the area of the isolated island load. The DG which can not be separate power supply is incorporated into residual network reconfiguration. And the residual network reconfiguration is a comprehensive optimization covering line losses and switching times for the residual network. The residual network reconfiguration solutions are obtained by the IDPG algorithm. Moreover, the simulation results of IEEE-33 bus system with DGs validate that the proposed method is reliable and effective.