Issue |
E3S Web Conf.
Volume 293, 2021
2021 3rd Global Conference on Ecological Environment and Civil Engineering (GCEECE 2021)
|
|
---|---|---|
Article Number | 02062 | |
Number of page(s) | 5 | |
Section | Environmental Energy and Civil Engineering and Water Conservancy Construction | |
DOI | https://doi.org/10.1051/e3sconf/202129302062 | |
Published online | 23 July 2021 |
Online Dispatch of Shared Energy Storage with Remote Renewable Generations
1 State Grid Anhui Electric Power CO., LTD., Hefei 230022, China
2 State Grid Anhui Electric Power Research Institute, 230601 Hefei, China
3 State Key Lab of Control and Simulation of Power Systems and Generation Equipments (Dept. of Electrical Engineering), Tsinghua University, 100084 Beijing, China
* Corresponding author: Email: bai_jiayu01@163.com, Tel: +86 18200542600.
The sustained penetration of wind and solar generation is conducive to alleviating the energy crisis and environmental pollution. However, the finite capacity of transmission corridor limits the delivery of remote renewables and leads to curtailment. Energy storage plays an important role in renewables accommodation and improving equipment utilization, and shared energy storage can magnify the benefits through a temporal and spatial complementary. This paper proposes an online dispatch approach of energy storage shared by multiple renewable plants. The uncertainty and non-anticipativity issue are addressed via a two-stage decision-making process. The day-ahead scheduling determines the allowable energy and power levels of shared energy storage; the real-time online dispatch decides the wait-and-see strategies of charging and discharging power based on a single-period optimization model constrained by the pre-scheduled bounds. The case study verifies the effectiveness of the proposed method.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.