Modeling of Phasor Measurement Unit for Wide Area Monitoring and control of Smart Grids with Distributed Energy Resources

2016 ◽  
Author(s):  
L. Ashok Kumar ◽  
S. Karthikeyan
Keyword(s):  
Smart Grids ◽  
Energy Resources ◽  
Phasor Measurement Unit ◽  
Distributed Energy Resources ◽  
Measurement Unit ◽  
Monitoring And Control ◽  
Distributed Energy ◽  
Wide Area Monitoring ◽  
And Control ◽  
Area Monitoring

scholarly journals On the Use of LoRaWAN for the Monitoring and Control of Distributed Energy Resources in a Smart Campus

2020 ◽  
Vol 10 (1) ◽  
pp. 320 ◽  
Author(s):  
Marco Pasetti ◽  
Paolo Ferrari ◽  
Diego Rodrigo Cabral Silva ◽  
Ivanovitch Silva ◽  
Emiliano Sisinni
Keyword(s):  
Large Scale ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Smart Environments ◽  
Area Network ◽  
Monitoring And Control ◽  
Wide Area Network ◽  
Distributed Energy ◽  
Smart Campus ◽  
And Control

The application of the most recent advances of the Internet-of-Things (IoT) technology to the automation of buildings is emerging as a promising solution to achieve greater efficiencies in energy consumption, and to allow the realization of sustainable models. The application of IoT has been demonstrated as effective in many fields, such as confirmed, for instance, by the Industry 4.0 concepts, which are revolutionizing modern production chains. By following this approach, the use of distributed control architectures and of IoT technologies (both wired and wireless) would result in effective solutions for the management of smart environments composed of groups of buildings, such as campuses. In this case, heterogeneous IoT solutions are typically adopted to satisfy the requirements of the very diverse possible scenarios (e.g., indoor versus outdoor coverage, mobile versus fixed nodes, just to mention a few), making their large-scale integration cumbersome. To cope with this issue, this paper presents an IoT architecture able to transparently manage different communication protocols in smart environments, and investigates its possible application for the monitoring and control of distributed energy resources in a smart campus. In particular, a use–case focused on the integration of the Long Range Wide Area Network (LoRaWAN) technology is considered to cope with heterogeneous indoor and outdoor communication scenarios. The feasibility analysis of the proposed solution is carried out by computing the scalability limits of the approach, based on the proposed smart campus data model. The results of the study showed that the proposed solution would be able to manage more than 10,000 nodes. An experimental validation of the LoRaWAN technology confirms its suitability in terms of coverage and latency, with a minimum LoRaWAN cell coverage range of 250 m, and a communication latency of about 400 ms. Finally, the advantages of the proposed solution in the supervision and management of a PV system are highlighted in a real-world scenario.

Distribution Static Compensators and their Applications in Microgrids

2017 ◽  
pp. 87-141
Author(s):  
Ahmed Abu-Siada ◽  
Mohammad A. S. Masoum ◽  
Yasser Alharbi ◽  
Farhad Shahnia ◽  
A .M. Shiddiq Yunus
Keyword(s):  
Quality Improvement ◽  
Storage Systems ◽  
Voltage Regulation ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Unequal Distribution ◽  
Power Quality Improvement ◽  
And Control ◽  
Unbalanced Loads

Microgrids are clusters of distributed energy resources, energy storage systems and loads which are capable of operating in grid-connected as well as in offgrid modes. In the off-grid mode, the energy resources supply the demand while maintaining the voltage and frequency within acceptable limits whereas in the gridconnected mode, the energy resources supply the maximum or nominal power and the network voltage and frequency is maintained by the grid. This chapter first summarizes the structure and control principles of microgrids. It then briefly introduces the structures and control perspectives of distribution static compensators (DSTATCOMs). Finally, some applications of DSTATCOMs are discussed in microgrids. The introduced applications are power quality improvement due to the presence of nonlinear and unbalanced loads, voltage regulation and balancing, and interphase power circulation in the case of the presence of single-phase energy resources with unequal distribution amongst phases. Each application is illustrated by examples, realized in PSCAD/EMTDC.

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