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IEC 61850 standard-based recloser control scheme for distribution system
Author(s)
Ntshiba, Sikho
Date Issued
2021
Type
Thesis
Publisher
Cape Peninsula University of Technology
Abstract
The distribution system is a key component of the power system since it delivers power to clients and collects revenue. The distribution system is subject to unavoidable fault conditions. When these fault conditions occur, the distribution system's power lines are disrupted, and customers lose power for a few hours, depending on the sort of network malfunction. The distribution system serves hospitals, residential areas, factories, and schools. As a result of customer outages, power companies lose money and struggle to maintain reliability standards. When power is not delivered in accordance with the contract, power companies incur penalties from their customers. Previously, electric companies used a trouble call system to detect outages, in which a consumer experiencing a power outage would phone and report it. Field operators would be dispatched from control centers to restore power. Customers will be out of supply for an extended period of time as a result of this technique. As a result, using the IEC 61850 GOOSE message application, this study developed a recloser control technique to simulate the automatic reconfiguration of the distribution system under fault conditions.
The recloser control algorithm is designed for a radial distribution network. A 22kV distribution network is modeled and simulated using DIgSILENT software. Various faults are used at the feeder's upstream and downstream ends. The results of the DIgSILENT simulation are then used in a laboratory setting to implement the requested recloser control approach. A lab-scale test bench is built using three IEC 61850 compliant IEDs (two SEL-351A and one SEL-351), an Omicron CMC 356 injection device, an RSG 2288 Ethernet switch, and a PC. The recloser control system is tested using hardwired and IEC 61850 standard GOOSE signals. The DIgSILENT simulation results, a hardwired recloser control system, and an IEC 61850-based recloser control approach are compared and evaluated. The IEC61850-compliant GOOSE messaging program for a distribution system improves protection speed and reliability.
Through the construction of the distribution system recloser control technique, this research effort provides a standard benchmark for academic and industrial applications. The practical information gained through this research will instruct protection engineers on how to configure and deploy the recloser control scheme for any industrial distribution network in order to increase network protection performance through autonomous reconfiguration under fault conditions.
The recloser control algorithm is designed for a radial distribution network. A 22kV distribution network is modeled and simulated using DIgSILENT software. Various faults are used at the feeder's upstream and downstream ends. The results of the DIgSILENT simulation are then used in a laboratory setting to implement the requested recloser control approach. A lab-scale test bench is built using three IEC 61850 compliant IEDs (two SEL-351A and one SEL-351), an Omicron CMC 356 injection device, an RSG 2288 Ethernet switch, and a PC. The recloser control system is tested using hardwired and IEC 61850 standard GOOSE signals. The DIgSILENT simulation results, a hardwired recloser control system, and an IEC 61850-based recloser control approach are compared and evaluated. The IEC61850-compliant GOOSE messaging program for a distribution system improves protection speed and reliability.
Through the construction of the distribution system recloser control technique, this research effort provides a standard benchmark for academic and industrial applications. The practical information gained through this research will instruct protection engineers on how to configure and deploy the recloser control scheme for any industrial distribution network in order to increase network protection performance through autonomous reconfiguration under fault conditions.
Additional information
Thesis (MEng (Electrical Engineering))--Cape Peninsula University of Technology, 2021
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Ntshiba_Sikho_213157683.pdf
Size
10.02 MB
Format
Adobe PDF
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