Authors: Stella Morris; Laya M.A. Al-Hilfi; Peer Fathima Abdul Kareem; Morris Ezra
Addresses: Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia ' Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia ' School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, India ' Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia
Abstract: Due to the sporadic nature of renewable energy, RE, maintaining an energy balance becomes challenging for utilities. An increased energy storage capacity would help resolve these challenges. A cutting-edge new grid-scale energy storage technique being studied is gravity energy storage, GES. Even though the literature suggests that GES may be a good replacement for existing energy storage techniques, there is not much research on its potential to boost RE penetration. Therefore, an energy management algorithm is developed for a modified IEEE system to optimise the GES and compare its potential in increasing solar penetration with respect to battery energy storage. A modified particle swarm algorithm is used to minimise network losses. Results show that the solar penetration is increased by 7.26% for the selected data, but the performance of both GES and BES are similar except for how their energy statuses differ owing to variations in depths of discharge.
Keywords: gravity energy storage; GES; battery energy storage; solar energy; energy management; optimum scheduling; modified particle swarm optimisation.
International Journal of Renewable Energy Technology, 2023 Vol.14 No.2, pp.143 - 170
Received: 25 Apr 2022
Accepted: 12 Aug 2022
Published online: 04 Apr 2023 *