Energy management systems for forecasted demand error compensation using hybrid energy storage system in nanogrid

Yim, Jaeyun; You, Sesun; Blaabjerg, Frede; Lee, Youngwoo; Gui, Yonghao; Kim, Wonhee

doi:10.1016/j.renene.2023.119744

Title: Energy management systems for forecasted demand error compensation using hybrid energy storage system in nanogrid

Journal Article · 04 December 2023 · Renewable Energy

DOI: https://doi.org/10.1016/j.renene.2023.119744 · OSTI ID:2281113

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Chung-Ang Univ., Seoul (Korea, Republic of)
Aalborg Univ. (Denmark)
Hanyang Univ., Ansan (Korea, Republic of)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

This paper proposes an energy management system (EMS) for nanogrids to balance the power supply and forecasted demand in consideration of forecasting errors arising from high instantaneous demand. The proposed EMS employs a power-balancing optimization process for forecasted demand and a reference power modulation strategy for forecasting errors. This power-balancing optimization utilizes nanogrid sources, such as photovoltaics, fuel cells, and batteries, to meet forecasted demand and a supercapacitor charging process to overcome issues with a low energy density. The proposed reference power modulation strategy is utilized to allocate power from a hybrid energy storage system consisting of a battery and supercapacitor in order to compensate for forecasting errors. In addition, this proposed strategy considers battery and supercapacitor constraints such as the power changing rate and total power limitations. Further, the power-balancing optimization process also operates at faster sampling rate than the reference power modulation process in order to improve the computational efficiency. The performance of the proposed EMS is evaluated using real data obtained from the Korea Electric Power Exchange.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Electricity (OE); Korea government (MSIT); National Research Foundation of Korea (NRF)

Grant/Contract Number:: AC05-00OR22725; 2021-0-02068; 2021M1A2A2065445; 20020741

OSTI ID:: 2281113

Journal Information:: Renewable Energy, Vol. 221, Issue 1; ISSN 0960-1481

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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