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Title: A semi-consensus strategy toward multi-functional hybrid energy storage system in DC microgrids
Authors: Lin, Pengfeng
Zhao, Tianyang
Wang, Benfei
Wang, Yu
Wang, Peng
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Lin, P., Zhao, T., Wang, B., Wang, Y. & Wang, P. (2019). A semi-consensus strategy toward multi-functional hybrid energy storage system in DC microgrids. IEEE Transactions On Energy Conversion, 35(1), 336-346.
Journal: IEEE Transactions on Energy Conversion
Abstract: This paper proposes a semi-consensus strategy for multi-functional hybrid energy storage systems (HESSs) in DC microgrids. Batteries in a HESS are regulated by conventional V-P droops and supercapacitors (SCs) are with integral droops (ID). Only batteries are assigned with local distributed compensators which exchange information through sparse communication links. Those SCs are exempted from data exchange process, which would save system investment costs. Within the semi-consensus scheme, the most essential function is the cooperation of V-P droop and ID that helps to naturally allocate low frequency components of load power to batteries and high frequency components to SCs, thus prolonging the overall life time of HESS. In addition to the transient power allocation function, there are other three functions endowed by the proposed strategy, which are autonomous DC bus voltage recovery to its nominal level, spontaneous SC state of charge (SOC) restoration, autonomous power sharing and SOC balancing among batteries. It is the simultaneous realization of above four functions with limit communications that makes up the main contributions in this paper. A generic mathematical modeling of HESS with the semi-consensus strategy is established. The model allows for dynamic analyses to theoretically validate the effectiveness of proposed method in both frequency and time domains. In-house experimental results are shown fully consistent with the dynamic analyses and also effectively corroborate the intended HESS multi-functional operations.
ISSN: 0885-8969
DOI: 10.1109/TEC.2019.2936120
Schools: School of Electrical and Electronic Engineering 
Research Centres: Energy Research Institute @ NTU (ERI@N) 
Rolls-Royce@NTU Corporate Lab 
Rights: © 2019 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles
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