An Improved Optimal Capacity Ratio Design Method for WSBHPS System Based on Complementary Characteristics of Wind and Solar

Joint Authors

Yin, Xiaoju
Zhang, Fengge
Ju, Zhenhe
Jiao, Yonggang

Source

Mathematical Problems in Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-05-21

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Civil Engineering

Abstract EN

The reliability and economic value of wind and solar power generation system with energy storage are decided by the balance of capacity distribution.

The improved capacity balance matching method is proposed in this paper, which not only utilizes the complementary characteristics of the wind and solar power generation system sufficiently but also reduces the charge and discharge times of the battery.

Therefore, the generation reliability is improved and the working lifetime of the whole system is lengthened.

Consequently, the investment of the battery energy storage is reduced as well as the whole cost is decreased.

The experimental result was presented to verify the effectiveness of the improved optimal capacity ratio design method.

American Psychological Association (APA)

Yin, Xiaoju& Zhang, Fengge& Ju, Zhenhe& Jiao, Yonggang. 2015. An Improved Optimal Capacity Ratio Design Method for WSBHPS System Based on Complementary Characteristics of Wind and Solar. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074517

Modern Language Association (MLA)

Yin, Xiaoju…[et al.]. An Improved Optimal Capacity Ratio Design Method for WSBHPS System Based on Complementary Characteristics of Wind and Solar. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1074517

American Medical Association (AMA)

Yin, Xiaoju& Zhang, Fengge& Ju, Zhenhe& Jiao, Yonggang. An Improved Optimal Capacity Ratio Design Method for WSBHPS System Based on Complementary Characteristics of Wind and Solar. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074517

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1074517