Partition Coordination Reactive Power Optimization For Distribution Network Considering DG Uncertainty And Low Carbon Characteristics

The uncertainty of renewable energy generation increases the difficulty of reactive power coordination and optimization of the distribution network.The addition of load demand response alleviates this situation,but also increases the uncertainty on the load side of the distribution network.In addition,since the distribution network contains traditional units,maintaining the carbon emission of the distribution network at an appropriate level is also an important part of the research.Based on this,this paper takes the reactive power optimization model of distribution network with renewable energy as the research object to deal with the uncertainty of renewable energy output,combined with the node load demand response and carbon trading mechanism.Firstly,Weibull distribution,Beta distribution and positive distribution are used to describe wind power generation,photovoltaic power generation and load uncertainty,and construct wind,light and load probability models;secondly,Latin ultra-cubic sampling is used to obtain the initial power scenario and simulate the scenario reduction method considering the moment distance and space distance to select the optimal scenario and corresponding scenario probability.Finally,a voltage reactive power cooperative control principle model is proposed to establish the landscape load power data and distribution network reactive power optimization model for subsequent analysis.Secondly,based on the second chapter of the modeling of voltage reactive power collaborative control of the active distribution network,this section constructs a two-stage planning model of distributed power supply based on the improved sensitivity method to solve the problems of DG site selection and fixed capacity of the distribution network.Based on the improved sensitivity method,it realizes the optimal access position of the DG power supply and reactive power compensation device,and realizes the hierarchical partition of the active distribution network.The multi-objective optimization model of the reactive voltage of the active distribution network is proposed.It determines the DG power supply and reactive power compensation device with the adjustment cost of the reactive power supply,using the improved genetic algorithm and the simulated annealing.Finally,in order to further improve the reactive power optimization problem of the system,two factors,load demand side response and stepped carbon trading,are considered.Firstly,based on the two characteristics of electrical load,namely,time shifting and interruptible,a comprehensive demand response characteristic model on the load side is constructed to guide the load side to move out part of the load and reduce the interruptive load when the grid load is large,and move in the load when the grid load is low,so as to improve the economy and low-carbon operation of the distribution network.In addition,a low-carbon distribution network optimization control model considering tiered carbon trading is constructed,which limits the carbon emissions on the power generation side through a tiered carbon trading mechanism.The impact of low-carbon factors on reactive power optimization and network indicators is analyzed in depth;The effectiveness and feasibility of the proposed model and method were verified by solving the distribution network optimization model using CPLEX.