Optimal Designing of Fuzzy-PID Controller in the Load-Frequency Control Loop of Hydro-Thermal Power System Connected to Wind Farm by HVDC Lines

Kamarposhti, Mehrdad Ahmadi; Shokouhandeh, Hassan; Alipur, Meghdad; Çolak, İlhami; Zare, Hassan; Eguchi, Koichi

doi:10.1109/access.2022.3183155

Cited by 37 publications

(12 citation statements)

References 48 publications

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“…The thermal inspection system for visible light images requires image denoising operations to improve image quality and signal-to-noise ratio. The purpose of denoising is to reduce or eliminate noise in images and improve the clarity and readability of images, thus better analyzing and monitoring thermal equipment [19,20]. Statistical filters, wavelet denoising, and image enhancement algorithms are common denoising methods, but they may introduce image blur, detail loss, artifacts, or noise.…”

Section: A Optimization Of Image Denoising Model With Rprop Fusionmentioning

confidence: 99%

Design of Thermal System Integrating Chaotic Optimization Strategy and Resilient Back Propagation

Qu,

2024

IEEE Access

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With the continuous progress of technology, the equipment and technical complexity of thermal systems are increasing, resulting in higher requirements for thermal inspection systems. Traditional inspection systems often have problems such as un-reasonable path planning and incomplete equipment monitoring, which may lead to low equipment operation efficiency and even lead to safety accidents. To address these issues, this study proposed using chaotic optimization algorithms to optimize Proportion-integral-derivative (PID) controllers and using Resilient Back Propagation (RPROP) to optimize image denoising models. Subsequently, a new thermal inspection system was constructed based on improved PID controllers and optimized image denoising models. In this study, the thermal system data in the public database and the problem data set collected in the actual thermal environment were used for experimental verification. Through comparative experiments of denoising models, the improved image denoising model had a CPU running time of 0.35 s, 0.78 s, and 0.69 s for Parrot, Phantom, and Frame denoising, respectively, which was superior to the comparison models. Later, in the comparison experiment of improving the PID controller, the adjustment time, peak time, and rise time of the chaos optimized PID controller were 0.719 s, 0.731 s, and 0.595 s, respectively, which were superior to the comparative controller. Finally, an empirical analysis was conducted on the proposed new thermal inspection system. The average detection accuracy and average detection time of the new thermal inspection system were 94.6% and 28.4 minutes, respectively, which were significantly better than traditional thermal inspection systems. The above results indicate that the proposed new thermal inspection system has good performance and can be applied to the actual inspection process of thermal equipment, thereby promoting the development of the thermal systems.

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Section: A Optimization Of Image Denoising Model With Rprop Fusionmentioning

confidence: 99%

Design of Thermal System Integrating Chaotic Optimization Strategy and Resilient Back Propagation

Qu,

2024

IEEE Access

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“…They employed an optimal control approach [8] to minimize the tracking error of the ball. The results demonstrated that Fuzzy PID [9][10][11] exhibits superior performance and algorithmic efficiency compared to traditional PID. A more complex problem is addressed by utilizing the sliding mode controller [12].…”

Section: Introductionmentioning

confidence: 99%

Stabilization and tracking control of underactuated ball and beam system using metaheuristic optimization based TID-F and PIDD2–PI control schemes

Zafar,

Malik,

Ali

et al. 2024

PLoS ONE

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In this paper, we propose two different control strategies for the position control of the ball of the ball and beam system (BBS). The first control strategy uses the proportional integral derivative-second derivative with a proportional integrator PIDD2-PI. The second control strategy uses the tilt integral derivative with filter (TID-F). The designed controllers employ two distinct metaheuristic computation techniques: grey wolf optimization (GWO) and whale optimization algorithm (WOA) for the parameter tuning. We evaluated the dynamic and steady-state performance of the proposed control strategies using four performance indices. In addition, to analyze the robustness of proposed control strategies, a comprehensive comparison has been performed with a variety of controllers, including tilt integral-derivative (TID), fractional order proportional integral derivative (FOPID), integral–proportional derivative (I-PD), proportional integral-derivative (PI-D), and proportional integral proportional derivative (PI-PD). By comparing different test cases, including the variation in the parameters of the BBS with disturbance, we examine step response, set point tracking, disturbance rejection analysis, and robustness of proposed control strategies. The comprehensive comparison of results shows that WOA-PIDD2-PI-ISE and GWO-TID-F- ISE perform superior. Moreover, the proposed control strategies yield oscillation-free, stable, and quick response, which confirms the robustness of the proposed control strategies to the disturbance, parameter variation of BBS, and tracking performance. The practical implementation of the proposed controllers can be in the field of under actuated mechanical systems (UMS), robotics and industrial automation. The proposed control strategies are successfully tested in MATLAB simulation.

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“…Since wind is a random phenomenon in nature and the power of wind farms is heavily dependent on wind speed, the electrical parameters of wind power are highly variable. Thus, the design of compensators should consider such characteristics [7].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of DVR and D-STATCOM in Presence of Wind Energy System

Kamarposhti¹,

Çolak²,

Thounthong³

et al. 2023

Computers, Materials &Amp; Continua

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The present study suggests that series voltage injection is more effective than parallel current injection to improve voltage quality on the load side. The line voltage can be accurately symmetrized at the connection point by creating and controlling a series voltage component in each phase. This is more reliable and effective than parallel current injection. A dynamic voltage restorer (DVR) and a distribution static synchronous compensator (DSTAT-COM) were utilized to provide the required power. The DVR is an effective and modern device utilized in parallel within the grid and can protect sensitive loads from voltage problems in the grid by injecting voltage. The DVR and D-STATCOM were used to improve voltage stability in faults. A standard 13bus system was studied in the presence of a wind farm. The simulation results demonstrated that single and three-phase overloads dramatically altered the voltage of the system, making it necessary to use compensators to improve voltage stability. The DVR and D-STATCOM showed similar performance under normal conditions and somewhat improved grid voltage unbalance. However, the DVR outperformed D-STATCOM under asymmetric faults conditions and led to lower voltage variations.

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Optimal Designing of Fuzzy-PID Controller in the Load-Frequency Control Loop of Hydro-Thermal Power System Connected to Wind Farm by HVDC Lines

Cited by 37 publications

References 48 publications

Design of Thermal System Integrating Chaotic Optimization Strategy and Resilient Back Propagation

Design of Thermal System Integrating Chaotic Optimization Strategy and Resilient Back Propagation

Stabilization and tracking control of underactuated ball and beam system using metaheuristic optimization based TID-F and PIDD2–PI control schemes

Modeling and Simulation of DVR and D-STATCOM in Presence of Wind Energy System

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