PID controller design for interval load frequency control system with communication time delay

Sharma, Jaydev; Hote, Yogesh V.; Prasad, Rajendra

doi:10.1016/j.conengprac.2019.05.016

Cited by 66 publications

(33 citation statements)

References 20 publications

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“…The FOPID with FO filter has been proposed in [19] and it has been optimized using the sine-cosine optimizer algorithm (SCA). The PID controller has been designed using the stability boundary-locus (SBL) method in [20]. In [21], the parameters for PI LFC have been optimally designed using the Harris Hawks Optimization (HHO) algorithm.…”

Section: A Literature Reviewmentioning

confidence: 99%

Optimum Modified Fractional Order Controller for Future Electric Vehicles and Renewable Energy-Based Interconnected Power Systems

et al. 2021

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Several issues have been risen due to the recent vast installations of renewable energy sources (RESs) instead of fossil fuel sources in addition to the replacement of electric vehicles (EVs) for fuel-powered vehicles. Mitigating frequency deviations and tie-line power fluctuations has become driving challenge for the control design of interconnected power systems. RESs represent continuously varying power generators due to their nature and dependency on the environmental conditions. In this context, this article presents a new modified hybrid fractional order controller for load frequency and EVs control in interconnected power systems. The new controller combines the benefits of two widely employed fractional order controllers, including the FOPID and TID controllers. In addition, a new practical application of recent artificial ecosystem optimization (AEO) method has been proposed in this article for determining simultaneously the optimum controller parameters. The proposed controller and optimization method are validated on two areas interconnected power system with different types of RESs and with considering the natural characteristics of sources, EVs and load variations. Obtained simulation results verify the superior performance of the proposed controller and optimization method for achieving high mitigation of frequency fluctuations and tie-line power deviations, increased robustness, enhanced system stability over a wide range of parameters uncertainty and fast response during transients.INDEX TERMS Artificial ecosystem optimization, electric vehicles (EVs), fractional order controller, load frequency control, renewable energy sources.

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Section: A Literature Reviewmentioning

confidence: 99%

Optimum Modified Fractional Order Controller for Future Electric Vehicles and Renewable Energy-Based Interconnected Power Systems

et al. 2021

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“…The controller parameters for both GA and PSO is tabulated in Table 1. The used data is given in [29][30]. A comparative study for the performance analysis of implementing optimum PID based GA, and PID based PSO is performed.…”

Section: For Single Areamentioning

confidence: 99%

Load Frequency Control Using Optimized Control Techniques

Hemeida

Mohamed

Mahmoud

2020

JES. Journal of Engineering Sciences

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The current study addresses the impact of the optimized controller to load frequency control (LFC) problem. The proportional-integral-derivative (PID) parameters is determined for both single area and two area control system using genetic algorithms (GA), Particle swarm optimization (PSO), and grey wolf optimization techniques (GWO). The LFC is a stochastic problem due to the load variations and changing the system operating conditions. This results in failing the conventional controller to adapt the LFC in case of implementing the conventional PID. So that, implementing optimized, the PID controller parameters using GA, PSO, and GWO. The technique is used for single area system as well two-area system. The results show the accuracy and robustness of implementing the optimized controller parameters. MATLAB/Simulink is used to solve the system equations. The suggested optimized controller shows fast response with better control quality in compared with conventional controller.

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“…From the results obtained by the simulated graphs, I can use them to design the controller (the inverse formula of the formula in the paper of Tan et al). According to the paper of Sharma et al [ 29 ], I will apply the controller to the system that I study about in the near future with communication time delay. Based on the paper of Sharma et al [ 30 ], the new application can be considered for the adaptive controller.…”

Section: Introductionmentioning

confidence: 99%

The Stability of a Two-Axis Gimbal System for the Camera

Danh

2021

The Scientific World Journal

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Gimbal or an inertial stabilization platform (ISP) is used to stabilize the line of sight of an object or device that is tracking another object (LOS) with stationary or moving targets or targets moving forward. It can achieve precision when there is isolation between the tracker and the gimbal base. Studying the 2-axis tilt angle to create gimbal stability, especially in a camera, is a compelling subject for the automation field, as it is controlled by modern controllers. This paper presents a two-axis gimbal loop in which the LOS rate is stable, and I proceed to examine the stability of the system to get a better overview of the system properties. Through examining the stability of the system, I can choose from modern control methods to control them. The stability of the system used from the two analysis methods I present below gives me a visual view from the results achieved. The simulation is performed in MATLAB.

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PID controller design for interval load frequency control system with communication time delay

Cited by 66 publications

References 20 publications

Optimum Modified Fractional Order Controller for Future Electric Vehicles and Renewable Energy-Based Interconnected Power Systems

Optimum Modified Fractional Order Controller for Future Electric Vehicles and Renewable Energy-Based Interconnected Power Systems

Load Frequency Control Using Optimized Control Techniques

The Stability of a Two-Axis Gimbal System for the Camera

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