Resilient PIDA Control Design Based Frequency Regulation of Interconnected Time-Delayed Microgrid Under Cyber-Attacks

This paper addresses the robust and resilient PIDA control design for frequency regulation of the cyber-physical power system. PIDA control design is carried-out using a recently develop supply demand optimization algorithm (SDOA). This SDOA inspires by the supply-demand mechanism in economics theor...

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Vydané v:IEEE transactions on industry applications Ročník 59; číslo 1; s. 1 - 12
Hlavný autor: Kumar, Mahendra
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.01.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Control design
Cyber-physical power system
Cyber-physical systems
Cybersecurity
Design optimization
Deviation
Distributed generation
Electric power distribution
Global optimization
Interconnected time-delayed microgrids
Linear programming
Load frequency control
Microgrids
Optimization
Optimization algorithms
Parameters
Power systems
Proportional integral derivative
Proportional integral derivative acceleration (PIDA) controller
Resilient Control
Robust control
Supply demand optimization algorithm (SDOA)
Tuning
Wind power
Wind power generation
ISSN:0093-9994, 1939-9367
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Shrnutí:This paper addresses the robust and resilient PIDA control design for frequency regulation of the cyber-physical power system. PIDA control design is carried-out using a recently develop supply demand optimization algorithm (SDOA). This SDOA inspires by the supply-demand mechanism in economics theory. Besides, SDOA is a global optimization algorithm and simple in design. Further, this paper is introduced a new fitness function to obtain the unknown parameters of PIDA controller. From application point of view, the proposed control design is validated on the interconnected time-delayed microgrid system configuration with cyber-attacks. The effectiveness and efficacy of the proposed control design are analyzed under various practical conditions such as cyber-attacks, communication time-delay, parametric uncertainty in system parameters, stochastic load deviation, stochastic wind power deviation, and stochastic solar power deviation. Further, the superiority of SDOA shows in comparison to the grey wolf optimizer (GWO), and whale optimization algorithm (WOA). Finally, it is concluded that the proposed PIDA control design performs better, robust and resilient in comparison to the existing PID control design.
Bibliografia:ObjectType-Article-1
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ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2022.3205280