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 ◽  
Energy Resource ◽  
Distribution Networks ◽  
Distributed Energy ◽  
Management Algorithm ◽  
Distributed Energy Resource ◽  
Large Distribution

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 Fault Location of Active Distribution Networks Based on the Golden Section Method

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Haizhu Yang ◽  
Xiangyang Liu ◽  
Yiming Guo ◽  
Peng Zhang
Keyword(s):  
Fault Location ◽  
Golden Section ◽  
Flow Analysis ◽  
Energy Resource ◽  
Distribution Networks ◽  
Load Flow ◽  
Distributed Energy ◽  
Load Flow Analysis ◽  
Distributed Energy Resource ◽  
Golden Section Method

Aiming at the problem of fault location in distribution networks with distributed energy resources (DERs), a fault location method based on the concepts of minimum fault reactance and golden section is proposed in this paper. Considering the influence of distributed energy resource supply on fault point current in distribution networks, an improved trapezoidal iteration method is proposed for load flow analysis and fault current calculation. This method only needs to measure the synchronous current of the distributed energy resource and does not need to measure the voltage information. Therefore, the investment in equipment is reduced. Validation is made using the IEEE 34-node test feeder. The simulation results show that the method is suitable for fault location of distribution networks with multiple distributed generators. This method can accurately locate the faults of the active distribution network under different conditions.

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