Title :
Studies on models and algorithms of the power system probabilistic production simulation integrated with wind farm
Author :
Bie, Zhaohong ; Zou, Xin ; Wang, Zijing ; Wang, Xifan
Author_Institution :
Dept. of Electr. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
Abstract :
In order to analysis the effect of the integrated wind farm in the power system probabilistic production simulation, a new model of the wind farm output power considering multi-wake effect is established according to the probability distribution of the wind speed and the characteristic of the wind generator output power. Compared with the individual wake effect model, this model takes the wind farm as a whole and considers the multi-wakes effect on the same unit. As a result the loss of the velocity inside the wind farm is considered more exactly. Furthermore, a new wind farm model-Time Sequential multi-state Generator Model for the power system probabilistic production simulation involved integrating wind farm is presented. In this model, the fluctuation and sequential characteristics of the wind power are fully taken into account and the wind power is simulated practically. The calculation and analysis have been executed on the IEEE RTS test system integrated wind farms. The results indicate that the models and algorithms presented can be considered the integrated wind farm well and truly in the power system probabilistic production simulation. The above research can also provide a basis for the further study for evaluating benefits of the wind farm.
Keywords :
probability; wind power plants; IEEE RTS test system; multiwake effect; power system probabilistic production simulation; wind farm; wind farm model-time sequential multi-state generator model; wind generator; Analytical models; Power generation; Power system analysis computing; Power system modeling; Power system simulation; Probability distribution; Production systems; Wind energy; Wind energy generation; Wind farms; Wind farm; multi-wake effect; probabilistic production simulation; time sequential multi-state generator;
Conference_Titel :
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location :
Calgary, AB
Print_ISBN :
978-1-4244-4241-6
DOI :
10.1109/PES.2009.5275582