scholarly journals Performance Evaluation of Distributed Energy Resource Management via Advanced Hardware-in-the-Loop Simulation

2020 ◽  
Author(s):  
Jing Wang ◽  
Michael Blonsky ◽  
Fei Ding ◽  
Seth C. Drew ◽  
Harsha. Padullaparti ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Resource Management ◽  
Energy Resource ◽  
Hardware In The Loop ◽  
Distributed Energy ◽  
Distributed Energy Resource

scholarly journals Performance Evaluation of Distributed Energy Resource Management Algorithm in Large Distribution Networks

2021 ◽  
Author(s):  
Jing Wang ◽  
Jianqiao Huang ◽  
Xinyang Zhou
Keyword(s):  
Performance Evaluation ◽  
Resource Management ◽  
Distribution System ◽  
Optimal Power Flow ◽  
Energy Resource ◽  
Distribution Networks ◽  
Hierarchical Optimization ◽  
Distributed Energy ◽  
Distributed Energy Resource ◽  
Large Distribution

This paper presents performance evaluation of hierarchical optimization and control for distributed energy resource management system (DERMS) in large distribution networks via an advanced hardware-in-the-loop (HIL) platform. The HIL platform provides realistic testing in a laboratory environment, including the accurate modeling of a full-scale distribution system of 11,000 nodes, the DERMS software controller, and 90 power hardware photovoltaics (PVs) and battery inverters. The applied DERMS algorithm is designed based on a realtime optimal power flow algorithm and implemented with acceleration design that performs fast dispatch of simulated PVs and real physical hardware DER devices every 4 seconds.<br>

scholarly journals Performance Evaluation of Distributed Energy Resource Management Algorithm in Large Distribution Networks

2021 ◽  
Author(s):  
Jing Wang ◽  
Jianqiao Huang ◽  
Xinyang Zhou
Keyword(s):  
Performance Evaluation ◽  
Resource Management ◽  
Distribution System ◽  
Optimal Power Flow ◽  
Energy Resource ◽  
Distribution Networks ◽  
Hierarchical Optimization ◽  
Distributed Energy ◽  
Distributed Energy Resource ◽  
Large Distribution

This paper presents performance evaluation of hierarchical optimization and control for distributed energy resource management system (DERMS) in large distribution networks via an advanced hardware-in-the-loop (HIL) platform. The HIL platform provides realistic testing in a laboratory environment, including the accurate modeling of a full-scale distribution system of 11,000 nodes, the DERMS software controller, and 90 power hardware photovoltaics (PVs) and battery inverters. The applied DERMS algorithm is designed based on a realtime optimal power flow algorithm and implemented with acceleration design that performs fast dispatch of simulated PVs and real physical hardware DER devices every 4 seconds.<br>

scholarly journals Voltage Regulation Performance Evaluation of Distributed Energy Resource Management via Advanced Hardware-in-the-Loop Simulation

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6734
Author(s):  
Jing Wang ◽  
Harsha Padullaparti ◽  
Fei Ding ◽  
Murali Baggu ◽  
Martha Symko-Davies
Keyword(s):  
Resource Management ◽  
Energy Resource ◽  
Voltage Regulation ◽  
System Level ◽  
Management Systems ◽  
Automation System ◽  
Hardware In The Loop ◽  
Distributed Energy ◽  
Distributed Energy Resource ◽  
Automation Systems

This paper evaluates the performance of coordinated control across advanced distribution management systems (ADMS), distributed energy resources (DERs), and distributed energy resource management systems (DERMS) using an advanced hardware-in-the-loop (HIL) platform. This platform provides a realistic laboratory testing environment, including accurate dynamic modeling of a real-world distribution system from a utility partner, real controllers (ADMS and DERMS), physical power hardware (DERs), and standard communications protocols. One grid service—voltage regulation—is evaluated to show the performance of the coordinated grid automation system. The testing results demonstrate that the coordinated DERMS and ADMS system can effectively regulate system voltages within target operation limits using DERs. The realistic laboratory HIL testing results give utilities confidence in adopting the grid automation systems to manage DERs to achieve system-level control and operation objectives (e.g., voltage regulation). This helps utilities mitigate potential risks (e.g., instability) prior to field deployment.

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