Harris Hawks-Based Optimization Algorithm for Automatic LFC of the Interconnected Power System Using PD-PI Cascade Control

Barakat, Mohamed; Donkol, Ahmed; Hamed, Hesham F. A.; Salama, Gerges M.

doi:10.1007/s42835-021-00729-1

Cited by 30 publications

(15 citation statements)

References 34 publications

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“…After embedding the controllers in frequency-load control loop of the subject power system and enforcing the simulations, frequency variations in the areas and communication line power variations between them were specified. In the figure (11) frequency amplitude variations of each area and As shown in the figure (11), the presence of wind farm has reduced the amplitude. The reason for this can be sought in the effect of the presence wind farm and the generation power.…”

Section: B Second Scenario (The Effective Presence Of Wind Farm)mentioning

confidence: 84%

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

Shokouhandeh

Alipur³

et al. 2022

IEEE Access

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In this paper an optimized Fuzzy based controller is proposed for automatic generation control of two area hydro-thermal power system connected to the wind farm. The parameters and membership functions of the proposed controller are optimized by a modified version of Cuckoo search algorithm (CSA). Also, a weighted objective function is proposed to minimize the frequency deviation and transmission power oscillation. The suggested heuristic objective function is a weight function from maximum frequency drift and oscillations fading time. To assessing the performance of suggested controller, studies is accomplished by two different scenarios. In the first scenario, the simulations are performed without wind farm and in the second scenario, the simulation is done in the presence of a wind farm. The simulation results indicate that the wind farm presence has major effect on sustained improvement of power system and the reason is considering the load variations in the area, the demand electrical energy in the same area is provided by the wind farm and hence, the frequency oscillations are decreased in both areas.

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Section: B Second Scenario (The Effective Presence Of Wind Farm)mentioning

confidence: 84%

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

Shokouhandeh

Alipur³

et al. 2022

IEEE Access

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“…This provides more time to settle compared to the ITAE. The ITAE criterion better decreased the settling time than IAE or ISE, and also decreased the peak overshoot but less-so than the ITSE criterion [6,43].…”

Section: Design Of Objective Functionmentioning

confidence: 86%

“…A suitable objective function should be applied appropriately before using modern heuristic optimization-based controller schemes to achieve the best LFC performance. Although, the ITSE-based controller decreased the contribution of large initial errors and emphasized errors later in the response [6]. This provides more time to settle compared to the ITAE.…”

Section: Design Of Objective Functionmentioning

confidence: 99%

“…Many approaches to address the concerns of LFC have been suggested, such as adaptive control, intelligent control, and optimal control [3][4][5]. Standard proportional-integral/proportional-integral-derivative (PI/PID) controllers are often used to address LFC issues because of their reliability, structural simplicity, and the satisfactory ratio between performance and reasonable cost [6]. Therefore, tuning PI/PID controllers are used in many optimization approaches, such as bacterial foraging optimization [7], differential evolution [8], firefly algorithm [9], quasi-oppositional harmony search [10], and teaching-learningbased optimization [11].…”

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confidence: 99%

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Optimal design of fuzzy-PID controller for automatic generation control of multi-source interconnected power system

Barakat

2022

Neural Comput & Applic

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This paper suggests a fuzzy logic controller (FLC) structure from seven membership functions (MFs) and its input–output relationship rules to design a secondary controller to reduce load frequency control (LFC) issues. The FLC is coupled to a proportional–integral–derivative (PID) controller as the proposed FPID controller, which is tuned by an optimized water cycle algorithm (WCA). The proposed WCA: FPID scheme was implemented with two models from the literature under the integral time absolute error cost function. Initially, a two-area non-reheat unit was implemented, and the gains of PID and FPID controllers were adjusted to verify the suitability of WCA in solving LFC issues. Then, in order to identify the robustness of the closed-loop system, sensitivity analysis is carried out. Additionally, a two-area non-reheat unit was tested under the governor dead band nonlinearity. To guarantee the suitability of the proposed FPID controller, a model with a mixture of power plants, such as reheat, hydro, and gas unit in each area was carried out with and without the HVDC link, which can increase practical issues with LFC. The proposed controller's robustness was studied for all models under numerous scenarios, step load perturbations (SLP), and different objective functions. Simulation results proved that the proposed FPID controller provided superior performance compared to recently reported techniques in terms of peaks and settling time.

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“…ITAE-based objective function is chosen for parameter optimization as it concurrently improves both transient and steady-state performance. Moreover, to carry out an unbiased comparative study, an identical objective function as defined in [36] is chosen in this work and defined in equation (47).…”

Section: Harris Hawk Optimization (Hho)mentioning

confidence: 99%

Frequency Regulation of Nonlinear Power Systems using Neural Network Observer-Based Optimized Resilient Controller

Patel

Guha

Purwar

2022

International Transactions on Electrical Energy Systems

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This study introduces a resilient frequency controller for nonlinear interconnected power systems to counteract endogenous/exogenous system disturbances. A neural network-based observer (NNO) is intended to estimate lumped system disturbances, such as unmodelled dynamics and unknown disturbances. The estimated NNO’s output is incorporated with a second-order sliding mode controller (SOSMC) to minimize chattering in the control effort and improve the nominal performance of the undertaken plant. The design parameters of SOSMC have been optimally identified by applying Harris hawk optimization (HHO), exercising integral error-based objective function. HHO has demonstrated superior tuning capabilities than other well-known optimization methodologies in terms of convergence rate and transient measurements of system outputs. The asymptotic convergence of estimated error and overall stability of the system has been established employing the Lyapunov argument. System outputs are compared with the results reported in the literature to validate the efficacy of the proposed resilient frequency controller. Presented results showcase the mastery of the applied NNO-based SOSMC over its counterparts in weaker chattering, fast disturbance rejection, and a high degree of robustness against endogenous/exogenous disturbances.

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Harris Hawks-Based Optimization Algorithm for Automatic LFC of the Interconnected Power System Using PD-PI Cascade Control

Cited by 30 publications

References 34 publications

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

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

Optimal design of fuzzy-PID controller for automatic generation control of multi-source interconnected power system

Frequency Regulation of Nonlinear Power Systems using Neural Network Observer-Based Optimized Resilient Controller

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