Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/171763
Title: Multi-timescale energy sharing with grid-BESS capacity rental considering uncertainties
Authors: Wang, Bo
Zhang, Cuo
Li, Chaojie
Su, Xiangjing
Qiu, Zihang
Dong, Zhao Yang
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2023
Source: Wang, B., Zhang, C., Li, C., Su, X., Qiu, Z. & Dong, Z. Y. (2023). Multi-timescale energy sharing with grid-BESS capacity rental considering uncertainties. CSEE Journal of Power and Energy Systems, 9(4), 1326-1336. https://dx.doi.org/10.17775/CSEEJPES.2021.09340
Project: 021542-00001 
Journal: CSEE Journal of Power and Energy Systems 
Abstract: The growing number of distributed energy resources (DERs) in distribution networks brings new opportunities for local energy sharing. This paper proposes a multi-timescale energy sharing approach among DER aggregators and distribution system operators (DSOs) considering grid-battery energy storage system (BESS) capacity rental and network operations. An energy sharing coordinator is created to manage the energy sharing with price determination. In an hour-ahead stage, the buying/selling energy and required grid-BESS rental capacity are optimally determined by the aggregators while the network operation is robustly considered by the DSO. In addition to renewable generation and loads, the power exchanges of the aggregators are treated as uncertainties. Then during each hour, 15-min-ahead energy transaction and controllable DERs are optimized to track uncertainty realization. The uncertainties in the aggregators and the DSO are addressed by stochastic and robust optimization methods, respectively. To efficiently solve the proposed energy sharing problem, a distributed solution algorithm with step length control and step reduction techniques is developed. The simulation results verify the high efficiency of the proposed energy sharing approach.
URI: https://hdl.handle.net/10356/171763
ISSN: 2096-0042
DOI: 10.17775/CSEEJPES.2021.09340
Schools: School of Electrical and Electronic Engineering 
Rights: © 2021 CSEE. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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