Dynamic Optimization Reconfiguration Method Of Distribution Network With Dispersed Wind Power

Under the background of the high proportion of wind power access,the optimization reconfiguration of the distribution network is to optimize and control the distribution system while changing the network operation topology.It is an effective means to improve the economic operation level and improve the voltage distribution.However,the dynamic optimization reconfiguration problem is a non-convex nonlinear optimization problem with the multi-object,multidimension and multi-constraint combination.The distribution network topology becomes more complex when there are more dispersed wind power access,which makes it more difficult to solve the optimization reconfiguration problem.Therefore,this paper studies the dynamic reconfiguration and optimal scheduling respectively,and proposes a dynamic reconfiguration time period division method considering wind power forecast error.On this basis,combined with the joint optimization control strategy of active and reactive power in distribution network,a bi-level interactive optimization model for simultaneous reconfiguration and scheduling is established,and a collaborative optimization algorithm suitable for solving this model is proposed,which improves the dynamic reconfiguration optimization effect and reduces the difficulty of solving the problem under the background of dispersed wind power access.Firstly,aiming at the problem of dynamic reconfiguration time period division of distribution network,a dynamic reconfiguration time period division method considering wind power forecast error is proposed.The probabilistic scenario method is used to deal with the uncertainty of wind power output.In order to consider the amplitude and morphological differences of the equivalent load at the same time,the load similarity evaluation index is defined by combining the Euclidean distance and the improved Pearson correlation coefficient.Considering the time sequence characteristic of the load,the secondary reduction of the obtained time division results is carried out,and the idea of ’expected value’ in mathematics is introduced into the time division.Under the probabilistic expectation statistics method,the expected value matrix generation method of the multi-scenario time division result is given,so that the final time division result has a broader adaptability in the distribution network optimization considering the uncertainty factors.Secondly,a bi-level interactive optimization model of distribution network with a high proportion of dispersed wind power is established.The model takes the operation cost,network loss cost and reconfiguration cost of distribution network as the economic optimization objectives.The upper level optimizes the network topology with the state of the section/tie switch as the decision variable,and transmits the reconfiguration scheme to the lower level.The lower level uses the dispersed wind power output,energy storage operation status,power of reactive power compensation device,and demand response amount as decision variables to carry out cooperative active and reactive power optimal dispatching of the distribution network,to determine the optimal operation status of each object and feedback to the upper level,and the two levels continuously interact and iterate to come up with the final strategy.An IHSA-SOCP collaborative optimization algorithm suitable for this model is proposed,which effectively decouples the complex coupling relationship of the dynamic optimization reconfiguration problem and reduces the difficulty of solving the problem.Finally,the simulation test is carried out by the IEEE33 node distribution system to verify the rationality and effectiveness of the proposed method.The results show that the proposed method has obvious advantages in improving the voltage security of the distribution system,reducing the system network loss and operating costs.