Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87778
Title: A hierarchical optimal operation strategy of hybrid energy storage system in distribution networks with high photovoltaic penetration
Authors: Bao, Guannan
Ge, Xiaohui
Li, Jiaqi
Zhang, Yicheng
Chen, Jian
Li, Peng
Keywords: Hierarchical Operation Strategy
Hybrid Energy Storage System
Issue Date: 2018
Source: Chen, J., Li, J., Zhang, Y., Bao, G., Ge, X., & Li, P. (2018). A hierarchical optimal operation strategy of hybrid energy storage system in distribution networks with high photovoltaic penetration. Energies, 11(2), 389-.
Series/Report no.: Energies
Abstract: In this paper, a hierarchical optimal operation strategy for a hybrid energy storage system (HESS) is proposed, which is suitable to be utilized in distribution networks (DNs) with high photovoltaic (PV) penetration to achieve PV power smoothing, voltage regulation and price arbitrage. Firstly, a fuzzy-logic based variable step-size control strategy for an ultracapacitor (UC) with the improvement of the lifetime of UC and tracking performance is adopted to smooth PV power fluctuations. The impact of PV forecasting errors is eliminated by adjusting the UC power in real time. Secondly, a coordinated control strategy, which includes centralized and local controls, is proposed for lithium-ion batteries. The centralized control is structured to determine the optimal battery unit for voltage regulation or price arbitrage according to lithium-ion battery performance indices. A modified lithium-ion battery aging model with better accuracy is proposed and the coupling relationship between the lifetime and the effective capacity is also considered. Additionally, the local control of the selected lithium-ion battery unit determines the charging/discharging power. A case study is used to validate the operation strategy and the results show that the lifetime equilibrium among different lithium-ion battery units can be achieved using the proposed strategy.
URI: https://hdl.handle.net/10356/87778
http://hdl.handle.net/10220/45530
ISSN: 1996-1073
DOI: http://dx.doi.org/10.3390/en11020389
Rights: © 2018 The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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