Units' Output Uncertain Problem Research Involving Wind Power During Process Of Network Reconfiguration

As modern society is increasingly dependent on the power supply,the economic losses and social effects caused by blackouts are becoming more and more serious.Therefore,it is of great significance to study how to realize fast and safe restoration of power system after a major blackout.Network reconfiguration is the most important phase in the whole restoration process,the main task is to optimization the unit operation sequence and charging key circuit.System will reach the maximize power generation capacity in the shortest time.In current power system mainly consisting of thermal units,as well as the growing popularity of the new energy system,units recovery will be effected by their own or external uncertain factors.It is more difficulty to control the process of network reconfiguration.After the comprehensive study and draw lessons form existing research,the study of the uncertain time of thermal units start-up and the uncertain of the wind power output to the influence of the network recovery has been conducted in this paper.(1)In current power system mainly consisting of thermal units,the length of units' recovery time during blackout determines the effect of network reconfiguration significantly.In response to this problem,aiming at the possible time lag during units' prepare to start up and start up,the robust optimization model for units' restoration sequence is set up and the energy not supplied is treated as an objective in this paper.Then,crossover particle swarm algorithm and CPLEX optimization solution are combined to solve this model.Based on this,a units' recovery sequence which can quantitative characterization effort of recovery and operation reliability can be got.Providing the reference to dispatcher to cope with the worst possible restore hysteretic scene.Further,for the proposed units' recovery sequence,dispatcher can get a quantitative guidance from both the probability of successful implementation estimated by operating experience and the key steps obtained by CPLEX to ensure recovery effect.(2)Considering the influence of the wind farm access to network reconfiguration process.the network is very vulnerable at the early time,we should wait another thermal unit connect to the grid and form The early reconstruction system before wind farm connected.Then,according to the forecast of wind power output and using the mixed integer programming(MILP)model to solve the structure network frame.Optimal power flow used to check the rationality of the structure frame.In advance to get the reasonable structure network frame,apply the uncertainty of wind power output to the "nature" control game,a sequential action game model of two participants aimed at minimum recovery cost,which is composed of decision makers and nature,is established.Finally,the accessible wind power range of the structure network frame can be got from the game model considering the uncertainty of the output of the wind power,which ensure system constrains can't be violated.This model can guarantee the reliability of the system under extreme conditions,has a strong guiding to the scene of the scheduling personnel.(3)According to the network reconfiguration robust model based on the uncertain time of thermal units start-up,the New England 10-unit 39-bus power system and a region grid indicate the validity of the method proposed.Then,the accessible wind power range based on the sequential action game model was validated by the New England 10-unit 39-bus system.