SCADA system for remote control and monitoring of grid connected inverters

Jayasinghe, Sarinda Lahiru (2018) SCADA system for remote control and monitoring of grid connected inverters. Masters thesis, Memorial University of Newfoundland.

[img] [English] PDF - Accepted Version
Available under License - The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.

Download (3MB)


This thesis presents a development of a supervisory control and data acquisition (SCADA) system for remote control and monitoring of grid-connected inverters. Since the number of battery energy storages connected to the grid is increasing the number of inverters connected to the power system is also rapidly growing. Utilities need to have the ability to monitor and control those inverters connected to the grid to maintain the stability of the network, to improve the quality of the power supplied and to stabilize the energy prices. After recognizing the requirement for a low-cost SCADA system for grid-tied inverters, essential features that needs to be embedded in the system have been identified by analyzing SCADA systems in the Wind Energy Institute Canada (WEICAN). Based on available options to fulfill the requirement selected SCADA systems were tested during the research. Based on the test results an Internet of Things (IoT) based server has been kept as the core of the developed SCADA system, and a SCADA development has been carried out to improve the system to deliver features identified. A requirement was recognized to embed an automatic control algorithm to the SCADA system for optimal control of the inverter to maximize the economic benefits out of it by considering the energy price variation and the renewable energy variation through a specific period. Results illustrate that the developed SCADA system has been able to deliver features identified during the research and the wind prediction algorithm has been able to maximize the economic benefits.

Item Type: Thesis (Masters)
Item ID: 13087
Additional Information: Includes bibliographical references (pages 91-94).
Keywords: SCADA, Internet of Things, ESP12E, Thingpseak, Blynk, UBIDOTs, Predictive wind farming, Energy Storage System, Battery Energy Storage Systems, Operation Scheduling
Department(s): Engineering and Applied Science, Faculty of
Date: May 2018
Date Type: Submission
Library of Congress Subject Heading: Supervisory control systems -- Design; Electric inverters; Electric power distribution -- Equipment and supplies

Actions (login required)

View Item View Item


Downloads per month over the past year

View more statistics