Research On Economic Optimal Dispatch Of Active Distribution Network With Distributed Energy Storage

With the increasingly serious global energy and environmental issues,as well as the rapid development of green new energy power generation technology and power electronics technology,a large number of renewable energy such as photovoltaics and wind power have been integrated into the distribution network,making the traditional distribution network gradually intelligent and active.Transformation of the distribution network.The traditional dispatching method that relies on adjusting the network structure of the system is relatively passive in the traditional distribution network,and it is difficult to maintain the stability of the system,economic operation and adapt to the development needs of the new situation.Therefore,in order to promote the consumption of new energy,fully mobilize the controllable units in the distribution network,and improve the economy of system operation,this thesis considers the access of a variety of controllable units to minimize the total operating cost of the active distribution network.For the goal,two economic optimization scheduling models and corresponding solution methods are constructed.The main content of this thesis is as follows:(1)Introduced the concept of active distribution network and analyzed the characteristics of the basic units such as source,load,and storage,including the operating characteristics of new energy systems such as wind power and photovoltaic power generation,as well as the characteristics of battery energy storage,and electric vehicle charging stations.And flexible load characteristics,paving the way for the follow-up research.(2)A coordinated and optimized dispatching model of active distribution network including WT,PV,ESS,and SVC is established,aiming at the lowest comprehensive cost of power generation cost,power purchase and sale cost,system wind abandon cost and energy storage cost.And use an improved particle swarm algorithm to optimize the solution.Based on the improved IEEE 33 bus node system,the coding simulation is carried out on the MATLAB 2016 a platform.The simulation results of a numerical example show that the method solves the actual problems well,and verifies the rationality and effectiveness of the model and the improved optimization algorithm proposed in this thesis.(3)For the established mixed integer non-convex nonlinear optimization model of the active distribution network with WT,PV,ESS,and SVC,it is difficult to directly obtain the optimal solution,and the second-order cone relaxation technology is used.Convert the original model to a mixed-integer second-order cone programming model to ensure the convexity of the problem.Through the MATLAB 2016 a simulation platform and the YALMIP modeling toolbox,commercial solution software such as CPLEX is used to efficiently solve the converted model,and multiple calculation examples are analyzed and compared.The simulation and analysis of the calculation examples show that the converted model is accurate and efficient regardless of the calculation accuracy or time consumption,which proves the effectiveness and superiority of the proposed model.