Study On Configuration Requirements Of Peaking Capacity Of Power System Considering Wind Curtailment Constraints

With the massive increase of capacity of wind power integration, phenomenon of wind curtailment is more serious. For the factors such as insufficient local load capacity, wind transmission passage-way not able to catch up with the speed of wind power integration, unreasonable power source structure, and insufficient peak-shaving capacity and so on, restrict the accommodated capacity of wind power. It is difficult to realize “zero wind curtailment”. To reduce the wind curtailment rate by adjusting the various restricting factors is a reasonable method.In this paper, the wind curtailment rate reaching a certain value was set as the overall goals to research requirements for peak-shaving capacity. At first, the peak-shaving source in power system and the method for determining the peak regulation capacity in a typical day was introduced. The influence of the fluctuation of wind power and net load characteristics on power system peaking capacity was studied, based on which the requirements of the wind power integration on power system peak-shaving capacity was analyzed. Then power system peaking capacity allocation methods was proposed aimed at the wind curtailment rate from the angle of annual sequential operation simulation. The method try to set minimum annual operation cost as the optimization objective, considering factors such as the system power balance, system spinning reserve, the transmission limit, the upper and lower limits of the output of generating unit, the unit ramp rate, the unit start-stop time and the upper and lower limits of output of the wind turbines as constraints. The wind curtailment rate was obtained by simulation and then the requirement of peaking capacity was obtained by multiple iterations.This paper ended with a calculation of peaking capacity of a provincial power system with the method proposed approach. Several peaking methods were compared for the requirement of peaking capacity. Some feasible measures of peaking capacity planning of this province in future were put forward.