Load frequency control considering generation rate constraints

Liu, Xiangjie; Xiao-lei, Zhan; Qian, Dianwei

doi:10.1109/wcica.2010.5554815

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…GSA is meta-heuristic population-centered approach inspired with directions of attraction and quantity associations [47][48][49]. In this method, cause is dignified as article encompasses of unlike multitudes and the enactment of this is considered via crowds.…”

Section: Gravitational Search Algorithm (Gsa)mentioning

confidence: 99%

Optimization Methodologies and Testing on Standard Benchmark Functions of Load Frequency Control for Interconnected Multi Area Power System in Smart Grids

et al. 2020

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In the recent era, the need for modern smart grid system leads to the selection of optimized analysis and planning for power generation and management. Renewable sources like wind energy play a vital role to support the modern smart grid system. However, it requires a proper commitment for scheduling of generating units, which needs proper load frequency control and unit commitment problem. In this research area, a novel methodology has been suggested, named Harris hawks optimizer (HHO), to solve the frequency constraint issues. The suggested algorithm was tested and examined for several regular benchmark functions like unimodal, multi-modal, and fixed dimension to solve the numerical optimization problem. The comparison was carried out for various existing models and simulation results demonstrate that the projected algorithm illustrates better results towards load frequency control problem of smart grid arrangement as compared with existing optimization models.

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Section: Gravitational Search Algorithm (Gsa)mentioning

confidence: 99%

Optimization Methodologies and Testing on Standard Benchmark Functions of Load Frequency Control for Interconnected Multi Area Power System in Smart Grids

et al. 2020

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“…The power system is tasked with maintaining a balance between power demand and power generation so that highquality and reliable electricity is available to users [9]. To do that integral controller, PI control, and PID controller are used in the AGC.…”

Section: Introductionmentioning

confidence: 99%

Novel PID Controller on Battery Energy Storage Systems for Frequency Dynamics Enhancement

Abdillah,

Jayadiharja,

Arjadi

et al. 2023

Journal of Robotics and Control

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Frequency dynamics is one of the important aspects of power system stability. From the frequency dynamics, the operator could plan how is the reliability of the electricity. The frequency can be maintained by controlling the balance between load demand and generation. To maintain the balance of the generation, the governor is playing an important role to increase the speed of the turbine and enhance the generating capacity of the generator (ramp-up). However, as the speed of the governor is slower than the increasing load demand, in the sub-transient area, the frequency may experience higher overshoot. Hence, it is important to add additional devices such as battery energy storage systems to enhance the frequency dynamics response in the sub-transient area. One of the important parts of storage is the controller. The controller must make sure the storage charges and discharge energy are in the sub-transient area. Hence PID controller can be the solution to make the storage operate optimally This paper proposed a novel PID controller on battery energy storage systems (BESS) to enhance the dynamics performance of frequencies. The five-area power system is used as the test system to investigate the efficacy of the proposed novel idea. Time domain simulation is investigated to see the improvement of the frequency dynamics response. From the simulation results, it is found that adding a PID controller on BESS could enhance the BESS response and result in frequency dynamics response improvement.

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“…A literature survey shows that the Load Frequency Control (LFC) of power systems has been investigated by many researchers over the past decades (Liu et al, 2010). Most of the earlier works in the area of AGC pertain to thermal systems with non-reheat and reheat type turbines for single and two area with different controller but relatively lesser attention has been devoted to the comparison of PI, fuzzy and GA controllers.…”

Section: Introductionmentioning

confidence: 99%

AGC in an Interconnected Power System of Thermal Generating Unit through Evolutionary Technique

Dhamanda¹,

Bhardwaj²

2016

RJASET

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This study presents to obtain the dynamic response of load frequency and corresponding tie-line power of an Automatic Generation Control (AGC) in four area interconnected thermal power system by using three different technique (Controller); One is Conventional (PI) technique, second is Intelligent(Fuzzy) technique and third is Evolutionary (GA for tuning of PID Controller) Technique. In this study Evolutionary technique are proposed for improving the performance of load frequency and tie-line power and their dynamic responses are compared with the conventional and intelligent controller's responses. The results indicate that the proposed controller exhibit better performance and satisfy the automatic generation control requirements with a reasonable dynamic response. The performances of the controllers are simulated using MATLAB/SIMULINK software.

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Load frequency control considering generation rate constraints

Cited by 7 publications

References 7 publications

Optimization Methodologies and Testing on Standard Benchmark Functions of Load Frequency Control for Interconnected Multi Area Power System in Smart Grids

Optimization Methodologies and Testing on Standard Benchmark Functions of Load Frequency Control for Interconnected Multi Area Power System in Smart Grids

Novel PID Controller on Battery Energy Storage Systems for Frequency Dynamics Enhancement

AGC in an Interconnected Power System of Thermal Generating Unit through Evolutionary Technique

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