Wind/PV Hybrid Energy System Matching Design Based on Backward Inference

Abstract:

This paper proposes a wind/PV hybrid energy system matching design method, which is based on backward inference. According to the method, the system can be matched based on the users’ need of energy combined with the local weather conditions and the total cost of the system devices is the smallest. Meanwhile, engineers and designers can work out the power from solar battery and wind turbine which meets the users’ need most economically. The paper uses the concept of “efficient time” which means the time it needs to generate the acquired energy when the generator works in its full power. Based on the users’ need, the power of solar battery and wind turbine can be calculated. What is more, combined with the local latitude and longitude, the best proportion for each kind of energy can be worked out. We take Changchun city of China as an example. It is showed in the result that the backward-inference method is more suitable to the users’ need and we evaluated it by the HOMER program [1], the result proves it is feasible. Also, the result of the method can be used as the input data of the HOMER program for designers and engineers to enhance the accuracy as well as to cut down the design difficulty. In the end, using the theory, our team has developed a system for the Wind/PV hybrid system matching design.

• Periodical: Applied Mechanics and Materials (Volumes 148-149)
• Pages: 1527-1533
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.148-149.1527
• Online since: December 2011
• Authors: Feng Zhao, Xin Hui Liu, Hao Liu, Fei Zhang, Xiao Hui Weng
• Keywords: Backward Inference, Economical, Efficient Time, LPSP, Wind/PV Hybrid System

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