Power System SCADA and Smart Grids

Thomas, Mini S.; McDonald, John D.

doi:10.1201/b18338

Cited by 74 publications

(58 citation statements)

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“…The components are also compatible with related process facilities and components from various vendors. Therefore, the consumer is not beholden to a single manufacturer/supplier which is one of the key features of an open source system [4,12,13]. Table 1 below shows the cost of each of the components and the overall cost of the designed SCADA system.…”

Section: Discussionmentioning

confidence: 99%

“…With the commercial systems, there is also the problem of interoperability with the existing infrastructures, for example power electronic converters in a power system [12]. Seamless communication among devices in modern power systems is the key to successful SCADA implementation [13,14]. Therefore, a low-cost, open source SCADA solution represents the most viable solution [4,7,12].…”

Section: Introductionmentioning

confidence: 99%

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Low-Cost, Open Source IoT-Based SCADA System Design Using Thinger.IO and ESP32 Thing

Aghenta

Iqbal

2019

Electronics

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Supervisory Control and Data Acquisition (SCADA) is a technology for monitoring and controlling distributed processes. SCADA provides real-time data exchange between a control/monitoring centre and field devices connected to the distributed processes. A SCADA system performs these functions using its four basic elements: Field Instrumentation Devices (FIDs) such as sensors and actuators which are connected to the distributed process plants being managed, Remote Terminal Units (RTUs) such as single board computers for receiving, processing and sending the remote data from the field instrumentation devices, Master Terminal Units (MTUs) for handling data processing and human machine interactions, and lastly SCADA Communication Channels for connecting the RTUs to the MTUs, and for parsing the acquired data. Generally, there are two classes of SCADA hardware and software; Proprietary (Commercial) and Open Source. In this paper, we present the design and implementation of a low-cost, Open Source SCADA system by using Thinger.IO local server IoT platform as the MTU and ESP32 Thing micro-controller as the RTU. SCADA architectures have evolved over the years from monolithic (stand-alone) through distributed and networked architectures to the latest Internet of Things (IoT) architecture. The SCADA system proposed in this work is based on the Internet of Things SCADA architecture which incorporates web services with the conventional (traditional) SCADA for a more robust supervisory control and monitoring. It comprises of analog Current and Voltage Sensors, the low-power ESP32 Thing micro-controller, a Raspberry Pi micro-controller, and a local Wi-Fi Router. In its implementation, the current and voltage sensors acquire the desired data from the process plant, the ESP32 micro-controller receives, processes and sends the acquired sensor data via a Wi-Fi network to the Thinger.IO local server IoT platform for data storage, real-time monitoring and remote control. The Thinger.IO server is locally hosted by the Raspberry Pi micro-controller, while the Wi-Fi network which forms the SCADA communication channel is created using the Wi-Fi Router. In order to test the proposed SCADA system solution, the designed hardware was set up to remotely monitor the Photovoltaic (PV) voltage, current, and power, as well as the storage battery voltage of a 260 W, 12 V Solar PV System. Some of the created Human Machine Interfaces (HMIs) on Thinger.IO Server where an operator can remotely monitor the data in the cloud, as well as initiate supervisory control activities if the acquired data are not in the expected range, using both a computer connected to the network, and Thinger.IO Mobile Apps are presented in the paper.2 of 24 plants and industrial processes both locally and remotely. The system involves the examination, collection, and processing of data in real time, as well as data logging for historical purposes. The architectural design of a standard SCADA system starts with Remote Terminal Units (RTUs), and/or Programmable Logic Controllers...

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-Cost, Open Source IoT-Based SCADA System Design Using Thinger.IO and ESP32 Thing

Aghenta

Iqbal

2019

Electronics

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“…Suppose that V e,τ and V e,τ +1 are wind speeds from Section III.A -two end points of a 5-minute time period. The wind speed vector [v e,1 , ..., v e,s , ..., v e,S ] T for each synthetic wind farm e over a 5-minute period can be computed by: v e,s = ( V e,τ +1 − V e,τ S − 1 ·(s−1)+V e,τ )+v e,s , ∀s ∈ (1, S ) (6) where v e, 1 and v e,S are set to be equal to V e,τ and V e,τ +1 , respectively. Overall, equation (6) [v e,1 , ..., v e,s , ..., v e,S ] T in a finer time interval for a 5-minute period.…”

Section: B Wind Speed Time Series With Finer Time Resolutionmentioning

confidence: 99%

Synthesize Phasor Measurement Unit Data Using Large-Scale Electric Network Models

Birchfield

et al. 2019

2019 North American Power Symposium (NAPS)

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Big data analytic applications using phasor measurements help improve the situation awareness of grid operators to better operate and control the system. Phasor measurement unit (PMU) data from actual grids is viewed as highly confidential and is not publicly available to researchers and educators. This paper develops a methodology to synthesize PMU data that can be accessed and shared freely, with a focus on input data preparation. Time series of demand-and generation-side input data are generated using public data from different utilities and statistical analysis methods. Detailed load dynamics modeling is also performed in this paper to extend the synthetic electric network models.

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“…Thus, the existing electrical grid is changing rapidly and becoming more and more complex to control. A smart grid (SG) is offered as the solution to this problem [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Newton Power Flow Methods for Unbalanced Three-Phase Distribution Networks

2017

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Two mismatch functions (power or current) and three coordinates (polar, Cartesian and complex form) result in six versions of the Newton-Raphson method for the solution of power flow problems. In this paper, five new versions of the Newton power flow method developed for single-phase problems in our previous paper are extended to three-phase power flow problems. Mathematical models of the load, load connection, transformer, and distributed generation (DG) are presented. A three-phase power flow formulation is described for both power and current mismatch functions. Extended versions of the Newton power flow method are compared with the backward-forward sweep-based algorithm. Furthermore, the convergence behavior for different loading conditions, R/X ratios, and load models, is investigated by numerical experiments on balanced and unbalanced distribution networks. On the basis of these experiments, we conclude that two versions using the current mismatch function in polar and Cartesian coordinates perform the best for both balanced and unbalanced distribution networks.

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Power System SCADA and Smart Grids

Cited by 74 publications

References 0 publications

Low-Cost, Open Source IoT-Based SCADA System Design Using Thinger.IO and ESP32 Thing

Low-Cost, Open Source IoT-Based SCADA System Design Using Thinger.IO and ESP32 Thing

Synthesize Phasor Measurement Unit Data Using Large-Scale Electric Network Models

Newton Power Flow Methods for Unbalanced Three-Phase Distribution Networks

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