Research On Optimization Method Of Network Reconfiguration Scheme Considering Time And Risk

This paper mainly studies the network reconfiguration in the electrical energy restoration black start after the large-scale blackout. In the case of black start power supply, it is essential for reconstructing network smoothly to identify the safe and effective units' restoration sequence according to the target network features. This paper conducted in-depth research on the simulation of the network recognition, aimed to put forward an universal solution suitable for different phases for the operation of power supply, division of heavy load node, optimization of power supply path, rationality of load distribution, timing of the network recognition in the simulation of the network recognition, assuring the smooth operation of the network recognition based on the sequence of different units' restoration. Based on the simulation strategy of the network reconfiguration, the in-depth research to the restoration of system and the definition of unit's restoring risk and taking the duration into consideration, the risk of electrical energy loss during network reconfiguration is proposed further in this paper. Through integration of crossover particle optimization and Floyd algorithm, the risk of electrical energy loss could be minimized by means of detailed simulation regarding network reconfiguration. As a result, the optimal units' restoration sequence which holds the higher operational reliability as well as the best technical performance is resolved. The outcome of its application on the New England 10-unit 39-bus power system indicates the validity of the method proposed in this paper. And through the simulation of the network reconfiguration, specific restoration of data has been acquired, which could provide references to dispatchers to restore the system and make final decisions.