Research On Intelligent Dynamic Economic Dispatch Of Wind Farm And Pumped-storage Power Station Based On Stochastic Programming

As a renewable clean energy, wind energy has made great contributions toalleviating the energy crisis and reducing environmental pollution. In recent years, due tothe expanding of wind power, the proportion of wind power in the power system hasbeen increased. However, because of the characteristics of uncontrolled, intermittent andrandom, large-scale wind power may pose a threat to the safe and stable operation ofpower system. Therefore, how to reasonable dispatch wind power and other conventionalpower while increasing wind power capacity is a problem.In order to obtain smooth wind power, pumped-storage power station has beenapplied to the wind farm as the energy storage system. This paper focuses on a jointdispatching strategy for wind farm and pumped-storage power station, includingpumped-storage capacity optimization research and dynamic economic dispatch of windfarm and pumped-storage power station research.First of all, a new dynamic economic dispatch strategy of wind power and pumped-storage system is proposed based on the smart energy management system. Prior toacceptance of wind power in power system, the reasonable upper and lower limit shouldbe calculated. If the output of wind turbines above the upper limit, the excess energy isused for pumping. If the output less than the lower limit, pumped-storage power stationreleases energy to meet the shortfall. In cooperation with the pumped-storage powerstation, wind power is redistributed in time to meet the requirements, thus avoiding thenegative impact on power system.Secondly, a stochastic optimization model for determining pumped-storage capacityis presented. Considering the impact of comprehensive economic efficiency, thecapacity should not be too large, while in order to complete the joint dispatching plan, thecapacity should not be too small. The model aims to minimize the total cost of wind farmoperation and pumped-storage installation and maintenance, which calculates the mostreasonable capacity of pumped-storage power station.Then, a dynamic economic dispatching model for power grid with joint-operatedwind farm and pumped-storage power station is presented, in which the minimizedfluctuation of wind power output alleviated by pumped-storage power and the lowestoperating cost of thermal power plants are taken as the objectives, in order to reduce theinfluence of power fluctuation of the joint system and improve economic efficiency. Theoutput of each unit in each period can be calculated by solving the model, which canprovide basis for developing power dispatching plan.An actual joint-operated wind farm and pumped-storage power station is used as anexample to test and analysis both the models and dispatching strategy in the paper. The application outcome shows that the two models are able to achieve the desire results, andthe proposed dynamic economic dispatching strategy is reasonable and effective. Themethods proposed in this paper can provide some effective research thought forgrid-connection of large-scale wind farm.