Research On Demand Response Operation Strategy Under All Powered By Clean Energy

In recent years,the proportion of our country’s clean energy consumption in total energy consumption has steadily increased,which has made great contributions to our country’s environmental protection.However,the access of a high proportion of clean energy will make the operation of the power system more diversified and the AC/DC connection of the power grid more complicated.Demand response resources are flexible and controllable,which can relieve the pressure of peak shaving and reduce the operating cost of the system during the process of participating in power grid dispatch.With the vigorous development of IOT(the Internet of things),demand response resources can be further tapped and utilized,and sourceload interaction in the power system has become more frequent.Therefore,the study of the dayahead dispatch strategy for all clean energy that takes into account the demand response and the uncertainties of a variety of clean energy is of great significance for improving the ability of the grid to accept large-scale new energy access and the ability to operate safely and stably.This paper conducts an in-depth study on clean energy units(wind power,photovoltaic,micro gas turbine and concentrating solar power plant)and demand response loads,builds a fully clean energy microgrid optimal dispatch model that considers demand response,and then on this basis,constructs a two-stage robust optimization model of microgrid considering the uncertainty of wind power,photovoltaic and solar radiation index.Finally,under the background of the distribution network,comprehensive utilization of the CSP station,demand response,smart soft switches,energy storage devices and other distribution network adjustment methods are used to construct an active distribution network optimal dispatch model to achieve completing new energy under a higher renewable energy penetration rate and reduce the total dispatch cost of the distribution network.The main work of this paper includes:(1)A micro-grid optimal dispatch model for all clean energy power generation is constructed.By setting different scenarios and analyzing the results of optimal dispatching,the effectiveness of the all-clean microgrid optimal dispatch model considering demand response is verified,and it is also verified that CSP station has the advantages of stable output and strong controllability and can effectively compensate for the uncontrollable shortcomings of wind and solar output.The combined use of price-based demand response loads and incentive demand response loads and CSP station can improve the scheduling flexibility of the system,reduce scheduling costs,increase the wind and solar consumption rate and increase the power consumption of users’ satisfaction.(2)Based on the robust two-stage optimization method,a microgrid optimal dispatch model based on price-type demand response and incentive-type demand response considering the uncertainty of wind power output,photovoltaic output and solar radiation index is established,and the model is solved by using a column constraint generation algorithm.The two-stage robust optimization model can find the minimum scheduling cost operation plan under the worst scenario.Random sampling method is used to randomly select 1000 scenarios and find the optimal scheduling plan,the optimal scheduling cost obtained by the optimization solution is lower than the cost of the optimal scheduling scheme under the worst scenario solved by the two-stage robust optimization model,thus verifying the correctness of the model.At the same time,by observing the changes of the system scheduling cost under the uncertain period of uncertain factors,the influence of each uncertain factor on the system scheduling cost is obtained.(3)The model of SOP,DR and ESS is constructed respectively.Taking the minimum total dispatch cost of the active distribution network as the objective function,the optimal dispatch model of the active distribution network that considers a variety of distribution network adjustment methods is constructed,and then use the second-order cone relaxation method to perform the second-order cone relaxation transformation on the nonlinear constraints in the model.Finally,the model is solved by GUROBI through YALMIP toolkit.The calculation example shows that the optimized dispatching strategy proposed in this paper can realize the balanced distribution of energy of each unit in the distribution network and the day-ahead optimal dispatch of the active distribution network,it can also reduce the voltage fluctuations of the distribution network during various periods,improve the voltage quality and achieve complete consumption of new energy resources with a penetration rate of more than 70% for renewable energy.