Real-Time Grid and DER Co-Simulation Platform for Testing Large-Scale DER Coordination Schemes
Real-Time Grid and DER Co-Simulation Platform for Testing Large-Scale DER Coordination Schemes
复制标题
用于测试大规模分布式能源协调方案的实时电网和分布式能源联合仿真平台
DOI:
10.1109/tsg.2022.3184491
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发表时间:
2022
影响因子:
9.6
通讯作者:
Almassalkhi, Mads R.
中科院分区:
文献类型:
--
作者:
Khurram, Adil;Amini, Mahraz;Espinosa, Luis A. Duffaut;Hines, Paul D. H.;Almassalkhi, Mads R.
Distributed energy resources (DERs), such as responsive loads and energy storage systems, can help grid operators to more effectively balance supply and demand and manage network constraints. However, consumer acceptance of load coordination schemes depends on ensuring customer quality of service (QoS), thus requiring the careful management of device-level constraints. Simultaneously managing both device-level and system-level objectives is a difficult problem. Most potential solutions to the DER coordination problem are in some way distributed, with decision logic running both at the device (such as a thermostat) and the coordinator, with potentially complex communications between devices and one or more coordinators. It is difficult to effectively test distributed DER control schemes, particularly when there are thousands of devices with both device-level and grid-level constraints and asynchronous communications. This paper addresses this challenge by presenting a novel real-time grid-and-DER cyber-physical co-simulation platform for testing advanced DER coordination schemes and characterizing the behaviors of a DER fleet. The co-simulation platform is particularly suitable for: $i$ ) testing the real-time performance of a large fleet of DERs delivering advanced grid services; $ii$ ) characterizing the distribution of states for a large fleet of managed DERs; and $iii$ ) incorporating practical limitations of DERs and communications and analyzing the effects on fleet-wide performance. To illustrate these benefits, we demonstrate how the platform can be used to test a fleet with thousands of DERs coordinated using Packetized Energy Management (PEM) and interacting with a realistic transmission system model.
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DOI:
10.23919/pscc.2018.8442954
发表时间:
2018
期刊:
2018 Power Systems Computation Conference (PSCC)
影响因子:
--
作者:
Luis A. Duffaut Espinosa;M. Almassalkhi;P. Hines;J. Frolik
通讯作者:
J. Frolik
DOI:
--
发表时间:
2009
期刊:
影响因子:
--
作者:
L. H. Lee;M. Kuhl;J. Fowler;S. Robinson
通讯作者:
S. Robinson
DOI:
--
发表时间:
2019
期刊:
EUROCON Conference
影响因子:
--
作者:
A. Pratt;M. Baggu;F. Ding;Santosh Veda;I. Mendoza;E. Lightner
通讯作者:
E. Lightner
影响因子:
--
作者:
D. Nicol;C. M. Davis;T. Overbye
通讯作者:
T. Overbye
DOI:
--
发表时间:
2018
期刊:
IEEE PES Innovative Smart Grid Technologies Conference Europe
影响因子:
--
作者:
M. Ilić;Rupamathi Jaddivada;Xia Miao
通讯作者:
Xia Miao