Research On Active Distribution Network Dispatching Strategy Considering Voltage Characteristics And Uncertain Factors

The traditional distribution network does not contain power and can only passively accept the scheduling of the higher-level power grid.With the large-scale penetration of distributed power,the traditional distribution network gradually transforms into a controllable and adjustable active distribution network.Therefore,it is possible to take advantage of the controllable characteristics of the distribution network to carry out active energy scheduling to enhance the recyclable resource absorption capacity,and to enable the distribution network to achieve economical and reliable operation.On the other hand,the distribution of active and reactive power of the distribution network is strong.It is not comprehensive enough to consider active and reactive power scheduling based on the traditional theory of active and reactive decoupling of the power system.With the increase of time,renewable energy and load The prediction error is getting bigger and bigger.How to improve the prediction accuracy is a problem that needs to be solved urgently.Therefore,this paper focuses on the above issues for active distribution network energy scheduling research,the specific work is as follows:This paper clarifies the characteristics of the active distribution network and the importance of effective energy management for the active distribution network.Then the principle of second-order cone programming and model predictive control theory are introduced.To construct a branch power flow model of a radial distribution network,in order to achieve an efficient solution,a second-order cone programming is used to convexly relax such a mixed integer non-convex nonlinear model into a second-order cone programming model.Based on the mathematical model of photovoltaic power generation system,micro-turbine and energy storage system,an optimal power flow model for active power distribution network coordination is constructed.The optimized target is set as the minimum active power loss in distribution network operation,and an example is analyzed.Based on the model predictive control theory,an optimal scheduling model is established for two periods: long-term and short-term.In the long-scale stage,the former uses the optimal power flow model including reactive power,and the lowest operating cost of the distribution network is the optimization goal.The scale refinement gives the controlplan of each distributed distributed power supply for the next 4 hours,and this active contribution plan is a reference value for the short-term scale.In the short-time scale stage,based on the model predictive control theory,the active deployment,the photovoltaic and load forecasting model and the output predictive model of various controllable distributed power sources are constructed;the output increment of each controllable distributed power supply is used as the optimization variable,so that The objective function is to minimize the running cost in each rolling time domain,perform the rolling optimization solution,and use the feedback correction link to correct the error in time,and carry out an example analysis.