REZIGULI·MAIMAITI, CHEN JIE, TIAN XIAOZHUANG, et al. Study on Power Stabilization Strategy Based on Wind Energy Storage System. [J]. Power capacitor & reactive power compensation, 2019, 40(4): 188-192.
REZIGULI·MAIMAITI, CHEN JIE, TIAN XIAOZHUANG, et al. Study on Power Stabilization Strategy Based on Wind Energy Storage System. [J]. Power capacitor & reactive power compensation, 2019, 40(4): 188-192. DOI: 10.14044/j.1674-1757.pcrpc.2019.04.032.
In view of the lag of the traditional wind power stabilization method
in this paper
the target power stabilization strategy in accordance with power prediction and with consideration of energy storage capacity configuration and the grid connection requirement is proposed. The target power needed is obtained at the time of achieving capacity optimization of energy storage system with China National wind power grid connection specification as reference index and by the use of wind power predication technology. On this basis
a mathematical model with the minimum target power and predicted power deviation as optimal is established
which is constrained by the active power variation limit of the grid
and the particle swarm optimization(PSO)is used to solve it in the Matlab. The simulation optimal calculation is performed on the basis of the actual wind farm data. It is shown by the simulation result that the strategy is superior to the national grid connection requirements under two time scales
can effectively smooth the wind power output and increase the utilization rate of wind power grid. It also plays a definite role in the large-scale wind power grid connection and provides a definite theory instruction significance for the development of the wind power storage system in the future.
关键词
风功率波动目标功率粒子群优化算法波动量
Keywords
wind power fluctuationtarget powerparticle swarm optimization algorithmfluctuation