DocumentCode :
3760450
Title :
Credible capacity of wind/PV hybrid system research based on hybrid algorithm
Author :
Pei Zhang;Weixing Zhang;Chunjuan Jia;Xiao Yang;Fengjun Yi
Author_Institution :
School of Electrical Engineering, Shandong University, Ji´nan, China
fYear :
2015
Firstpage :
2068
Lastpage :
2073
Abstract :
In view of the unstable reliability of the power grid due to the integration of various intermittent power sources with power grid, this paper intends to discuss the credible capacity of the wind/PV hybrid system to research the complementarity of the wind power and PV power. Based on sequential Monte Carlo simulation, this paper develops the reliability evaluation models of wind and PV power and analyzes the complementarity and probability of output power of them. To tackle the misconvergence with a high calculation accuracy in the secant method and the slow iterative speed in the dichotomy, this paper presents a hybrid algorithm to calculate the credible capacity. By combining the secant method with fast iterative speed and the dichotomy with no misconvergence, this algorithm avoids the misconvergence when the fast iterative speed and realizes the high calculation accuracy. Modified IEEE RTS-79 system is utilized to verify the validity of the proposed hybrid algorithm. The result shows that the hybrid algorithm has a fast iterative speed and has no misconvergence. Moreover, this paper analyzes the effects of the proportional ratio between installed capacity of wind power generators and that of PV arrays, the penetration of the renewable energy generations and the reliability level of the original system without renewable energy on the credible capacity of hybrid system.
Keywords :
"Wind power generation","Wind turbines","Hybrid power systems","Reliability","Renewable energy sources","Iterative methods"
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on
Type :
conf
DOI :
10.1109/DRPT.2015.7432581
Filename :
7432581
Link To Document :
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