Real-Time Energy Storage Simulators for the Electricity Grid

被引：2

作者：

Bryden, Thomas S. ^{[1
]}

Rogers, Daniel J. ^{[1
]}

Hutchinson, Andrew J. ^{[2
]}

Gladwin, Daniel T. ^{[2
]}

Harrison, Chris M. ^{[3
]}

Radcliffe, Jonathan ^{[3
]}

Alahyari, Arman ^{[4
]}

Rawat, Tanuj ^{[4
]}

Patsios, Charalampos ^{[4
]}

Hu, Yiheng ^{[5
]}

Forsyth, Andrew J. ^{[5
]}

机构：

[1] Univ Oxford, Oxford, England

[2] Univ Sheffield, Sheffield, England

[3] Univ Birmingham, Birmingham, England

[4] Newcastle Univ, Newcastle, England

[5] Univ Manchester, Manchester, England

来源：

2024 IEEE ELECTRICAL ENERGY STORAGE APPLICATION AND TECHNOLOGIES CONFERENCE, EESAT | 2024年

基金：

英国工程与自然科学研究理事会;

关键词：

Battery management; Electricity grids; Energy storage; Hardware-in-the-loop; Real-time systems; SYSTEM;

D O I：

10.1109/EESAT59125.2024.10471224

中图分类号：

O646 [电化学、电解、磁化学];

学科分类号：

081704 ;

摘要：

In this paper, a novel Distributed Real-Time Simulation Environment (DRTSE) which enables the coordinated control of multiple Real-Time Simulators (RTSs) positioned across the UK is introduced and demonstrated for an energy storage application. Using RTSs instead of physical energy storage assets enables the testing of different communication and control strategies, thereby reducing the risk of failure when the physical storage assets are deployed. In addition, the testing of different storage types (e.g. batteries, compressed air, flywheels, etc.) and storage locations can be conducted without expensive hardware modifications. In this paper, technical details of the RTSs are given, including the hardware and electrical storage models. The Central Controller (CC) and communication are also described, and results from the DRTSE presented.

引用

页数：5

共 50 条

[41] Real-time dispatch optimization for concentrating solar power with thermal energy storage
Cox, John L.
Hamilton, William T.
Newman, Alexandra M.
Wagner, Michael J.
Zolan, Alex J.
OPTIMIZATION AND ENGINEERING, 2023, 24 (02) : 847 - 884
[42] Modified PSO algorithm for real-time energy management in grid-connected microgrids
Hossain, Md Alamgir
Pota, Hemanshu Roy
Squartini, Stefano
Abdou, Ahmed Fathi
RENEWABLE ENERGY, 2019, 136 : 746 - 757
[43] Performance evaluation of grid-connected power conversion systems integrated with real-time battery monitoring in a battery energy storage system
Yoong Yang Leow
Chia Ai Ooi
Muhammad Najwan Hamidi
Electrical Engineering, 2020, 102 : 245 - 258
[44] Real-Time Orchestration System for Intelligent Electricity Networks
Schmelter, A.
Leksawat, S.
Ortjohann, E.
Holtschulte, D.
Kortenbruck, J.
Premgamone, T.
Morton, D.
2017 6TH INTERNATIONAL CONFERENCE ON CLEAN ELECTRICAL POWER (ICCEP): RENEWABLE ENERGY IMPACT, 2017, : 229 - 235
[45] Performance evaluation of grid-connected power conversion systems integrated with real-time battery monitoring in a battery energy storage system
Leow, Yoong Yang
Ooi, Chia Ai
Hamidi, Muhammad Najwan
ELECTRICAL ENGINEERING, 2020, 102 (01) : 245 - 258
[46] Comparison of non-real-time and real-time simulators with relays in-the-loop for adaptive overcurrent protection
Piesciorovsky, Emilio C.
Schulz, Noel N.
ELECTRIC POWER SYSTEMS RESEARCH, 2017, 143 : 657 - 668
[47] A Real-Time Dependable Flash Storage System
McEwan, Alistair A.
Komsul, Muhammad Ziya
IEEE ACCESS, 2019, 7 : 142974 - 142990
[48] Management of real-time streaming data Grid services
Fox, Geoffrey
Aydin, Galip
Bulut, Hasan
Gadgil, Harshawardhan
Pallickara, Shrideep
Pierce, Marlon
Wu, Wenjun
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2007, 19 (07) : 983 - 998
[49] Stochastic coordination of the wind and solar energy using energy storage system based on real-time pricing
Saeedi, Sajjad
Hosseini, S. M. Hassan
SOFT COMPUTING, 2022, 26 (18) : 9607 - 9620
[50] Stochastic coordination of the wind and solar energy using energy storage system based on real-time pricing
Sajjad Saeedi
S. M. Hassan Hosseini
Soft Computing, 2022, 26 : 9607 - 9620

← 1 2 3 4 5 →