Optimal Decentralized Load Frequency Control in a Parallel AC-DC Interconnected Power System Through HVDC Link Using PSO Algorithm

Selvakumaran, Sivasakthy; Parthasarathy, S.; Karthigaivel, R.; Rajasekaran, V.

doi:10.1016/j.egypro.2011.12.1178

Cited by 31 publications

(13 citation statements)

References 2 publications

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“…After many trials, weighting matrix elements can be selected at (3,3) = 1000, (4,4) = 1551, (7,7) = 1500, (8,8)…”

Section: Results Discussionmentioning

confidence: 99%

“…In this study, the conventional model is used for each control area of a multi-area power system which is widely used in many studies [3,4,10]. The same system parameters are used in [10] for the three areas and in [3] for the four area.…”

Section: Model Descriptionmentioning

confidence: 99%

“…The paper [3] has mixed 2 and ∞ control methods and has considered the connections between each area and the rest of the system as new disturbance. In [4], Particle Swarm Optimization (PSO) has been used in the AC-DC interconnected LFC system. Local controller to each area has been designed to stabilize the overall system and reduce settling time and frequency oscillation.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Decentralized LQR Control to Enhance Multi-Area LFC System Stability

Abdelhamid

El-Gaafary

2018

Mathematical Problems in Engineering

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Many studies have been made in the field of load frequency control (LFC) through the last few decades because of its importance to healthy power system. It is important to maintain frequency deviation at zero level after a load perturbation. In decentralized control, the multi-area power system is decomposed into many single input single output (SISO) subsystems and a local controller is designed for each subsystem. The controlled subsystems may have slow poles; these undesired poles may drive the aggregated overall system into the instability region. Thus, it is required to relocate these poles to much more stable places to avoid their effect upon the overall system stability. This study aims to design a new load frequency controller based on the powerful optimal linear quadratic regulator (LQR) technique. This technique can be applied over subsystem level to shift each subsystem undesired poles one by one into a prespecified stable location which in turn shift the overall system slow poles and reduce the effect of the interaction between the interconnected subsystems among each other. This procedure must be applied many times as the number of undesired poles (pairs) until all the desired poles are achieved. The main objective is considered to get a robust design when the system is affected by a physical disturbance and ±40% model uncertainties. LQR can be applied again over the aggregated system to enhance the stability degree. Simulation results are used to evaluate the effectiveness of the proposed method and compared to other research results.

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“…After many trials, weighting matrix elements can be selected at (3,3) = 1000, (4,4) = 1551, (7,7) = 1500, (8,8)…”

Section: Results Discussionmentioning

confidence: 99%

Section: Model Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Decentralized LQR Control to Enhance Multi-Area LFC System Stability

Abdelhamid

El-Gaafary

2018

Mathematical Problems in Engineering

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“…Also,analysis with DC tie lines parallel with AC tie lines for LFC has not been much explored.The incorporation of parallel AC-DC tie linestabilizes the frequency oscillations owing to load change and also it increases the stability margin of overall power system [3].In the present work, hydro generating unit and thermal unit with reheat turbine in both the power systems have been considered and performance of LFC with and without AC-DC parallel tie line is investigated.…”

Section: Introductionmentioning

confidence: 99%

Load frequency control of two area power system with AC-DC tie line using PSO optimized controller

Nagarjuna

Shankar

2015

2015 International Conference on Power and Advanced Control Engineering (ICPACE)

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This paper presents the load frequency control(LFC) of two area interconnected power system each comprising of a thermal unit with reheat turbine and a hydro generating unit. In order to have better performance of LFC, proportional-integralderivative(PID) controller is used whose parameters are optimized using particle swarm optimization (PSO) technique. In the present work, effect of AC-DC tie lie on the performance of LFC in two area power system using PSO tuned controllers is tested and compared with the performance of LFC with only AC tie line. It is observed that the transient performance of the system with parallel AC-DC tie line is improved when compared to the performance of the system with only AC tie line. The results obtained are compared and presented.

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“…Particle swarm optimization (PSO) algorithm is a new globe optimization algorithm, which has the advantage of fast convergence speed [18,19]. In [20], Selvakumaran et al proposed a new design of decentralized load-frequency controller for interconnected power systems with ac-dc parallel using PSO algorithm. The experiment result illustrated that their method have rapid dynamic response ability.…”

Section: Related Workmentioning

confidence: 99%

An adaptive PID neural network for complex nonlinear system control

et al. 2014

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Usually it is difficult to solve the control problem of a complex nonlinear system. In this paper, we present an effective control method based on adaptive PID neural network and particle swarm optimization (PSO) algorithm. PSO algorithm is introduced to initialize the neural network for improving the convergent speed and avoiding weights getting trapped into local optima. To adapt the initially uncertain and varying parameters in the control system, we introduce an improved gradient descent method to adjust the network parameters. The stability of our controller is analyzed according to the Lyapunov method. The simulation of complex nonlinear multiple-input and multiple-output (MIMO) system is presented with strong coupling. Empirical results illustrate that the proposed controller can obtain good precision with shorter time compared with the other considered methods. It provides a novel control approach for complex nonlinear systems.

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Optimal Decentralized Load Frequency Control in a Parallel AC-DC Interconnected Power System Through HVDC Link Using PSO Algorithm

Cited by 31 publications

References 2 publications

Optimal Decentralized LQR Control to Enhance Multi-Area LFC System Stability

Optimal Decentralized LQR Control to Enhance Multi-Area LFC System Stability

Load frequency control of two area power system with AC-DC tie line using PSO optimized controller

An adaptive PID neural network for complex nonlinear system control

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