WAMS-Based Fuzzy Logic PID Secondary Voltage Control of the Egyptian Grid

This paper presents the application of fuzzy logic PID secondary voltage control to the Egyptian power system model. The study included tertiary voltage control, Wide Area Measurement System (WAMS) configuration, a selection of pilot buses, and fuzzy logic PID secondary voltage control to improve th...

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Bibliographic Details
Published in:Sustainability 2023-02, Vol.15 (4), p.3338
Main Authors: Abdalla, Omar H, Fayek, Hady H
Format: Article
Language:English
Subjects:
Analysis
Buses
Configurations
Control systems design
Controllers
Design
Egypt
Electric current regulators
Electric power systems
Engineering research
Fuzzy algorithms
Fuzzy logic
Fuzzy systems
Generators
Infrastructure (Economics)
Mathematical optimization
Measuring instruments
Optimization
Phasors
Power flow
Power plants
Reactive power
Simulation
Software
Sustainability
Voltage
Voltage regulators
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Summary:This paper presents the application of fuzzy logic PID secondary voltage control to the Egyptian power system model. The study included tertiary voltage control, Wide Area Measurement System (WAMS) configuration, a selection of pilot buses, and fuzzy logic PID secondary voltage control to improve the system performance. The secondary voltage control was applied using a fuzzy PID coordinated controller, a reactive power integral controller, Automatic Voltage Regulators (AVRs), and regional generators. The tertiary voltage control was implemented based on the optimal power flow to maximize the reactive power reserve. A novel optimization technique is presented to select pilot buses based on different operating conditions and compared to other techniques. The optimal WAMS configuration included the best allocation of Phasor Measurement Units (PMUs), Phasor Data Concentrators (PDCs), and the required communication infrastructure considering geographical regions with minimum cost. The Egyptian power grid considering 500/220 kV level is simulated by using DIgSILENT software to perform static and dynamic analyses, while the WAMS optimization problems and fuzzy logic PID controller design are performed by employing MATLAB software.
ISSN:2071-1050
2071-1050
DOI:10.3390/su15043338