Technical Papers
Feb 25, 2017

Active Control Strategy of Energy Storage System for Reducing Maximum Demand Charges under Limited Storage Capacity

Publication: Journal of Energy Engineering
Volume 143, Issue 4

Abstract

Commercial and industrial customers are subject to monthly maximum demand charges, which can be as high as 30% of the total electricity bill. A battery-based energy storage system (BESS) can be used to reduce the monthly maximum demand charges. A number of control strategies have been developed for the BESS to reduce the daily peak demands. However, the existing control strategies may fail to reduce the peaks on some occasions because the energy of the BESS runs out during the process of peak reduction. Therefore, a new active control strategy for the BESS is developed and presented in this paper. This strategy is able to reduce the peaks even though the peaks are different from the forecasted ones. This strategy is able to reduce the monthly maximum demands by 9% when the BESS capacity is reduced to 37% of the full capacity due to financial constraints. Hence, the customers can achieve the payback period of 11 years over the project lifespan of 21 years with the reduced capacity of the BESS.

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Acknowledgments

This work is supported in part by CREST R&D Grant P01C1-14 between Collaborative Research in Engineering, Science and Technology Centre (CREST), Universiti Tunku Abdul Rahman (UTAR), and ERS Energy Sdn Bhd.

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Go to Journal of Energy Engineering
Journal of Energy Engineering
Volume 143Issue 4August 2017

History

Received: Sep 9, 2016
Accepted: Nov 23, 2016
Published online: Feb 25, 2017
Discussion open until: Jul 25, 2017
Published in print: Aug 1, 2017

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Authors

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Lee Cheun Hau [email protected]
Researcher, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Sungai Long, Selangor 43000, Malaysia (corresponding author). E-mail: [email protected]
Yun Seng Lim, Ph.D. [email protected]
Professor, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Sungai Long, Selangor 43000, Malaysia. E-mail: [email protected]
Kein Huat Chua, Ph.D. [email protected]
Assistant Professor, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Sungai Long, Selangor 43000, Malaysia. E-mail: [email protected]

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