Optimal Scheduling Of Virtual Power Plant Considering Wind Power And Photovoltaic Uncertainty

With the development of clean and low-carbon new energy system,the proportion of Distributed Renewable Energy and re electrification of end users has increased significantly.In order to realize the coordinated control and energy management of distributed generation,"virtual power plant" has gradually come into everyone’s view.In this paper,the optimal scheduling of virtual power plants with wind and solar uncertainties is studied.The basic structure of the virtual power plant described in this paper includes gas turbine,energy storage device,wind power generation and photovoltaic power generation,which jointly participate in the operation of the power grid.Firstly,this paper mainly focuses on the analysis of the optimal scheduling of virtual power plants under the uncertainty of scenery after considering the demand response factors of price,and constructs the optimal scheduling model of virtual power plants considering the demand response of price.The virtual power plant makes full use of the complementarity of each unit equipment to design a reasonable operation strategy,takes the lowest comprehensive operation cost of the virtual power plant as its objective function,analyzes three scenarios: only considering wind power,only considering PV,and considering wind power and PV at the same time,and solves the uncertainty of wind power and PV through the robust model.The optimization results obtained by robust optimization can ensure that they are feasible in the uncertain set.The final simulation results show that the virtual power plant can formulate the corresponding output plan according to the real-time electricity price,and can achieve the effect of peak shaving and valley filling when considering the uncertainty of scenery and the response of price demand at the same time,and obtain good economic benefits.Because the penalty cost is not considered in the research of virtual power plant considering price demand response,this paper proposes the research of virtual power plant optimal scheduling problem considering risk assessment and penalty coefficient.The model adopts the conditional value at risk theory,quantifies the uncertainty of the scenery into the risk cost of the operation of the virtual power plant.Through robust optimization,it ensures that the optimization scheme still meets the corresponding operation constraints in the case of uncertain output of renewable energy units,reduces the risk and impact of uncertainty on the operation of the virtual power plant as far as possible,and obtains the optimal decisionmaking scheme with the minimum operation cost of the virtual power plant.In Chapter 4,the paper mainly analyzes several related problems by using numerical simulation:(1)how to determine the optimal scheduling scheme: on the basis of certain risk and robustness,the optimal scheduling optimization is finally determined by the actual comprehensive generation cost of gas turbine,the charging and discharging cost of energy storage battery and the power purchase and sale cost of power market;(2)100 random scenarios are set to test the robust feasibility of the model;(3)The close relationship between robustness and economic benefits is discussed : the larger the reserved capacity required by the equipment to deal with the fluctuation of power deviation,and the larger the total cost.