A novel adaptive load frequency control in single and interconnected power systems

Mohamed, Tarek Hassan; Abdelhamid, Mohamed; Hassan, Ammar M.

doi:10.1016/j.asej.2020.08.024

Cited by 33 publications

(17 citation statements)

References 29 publications

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“…The present paper focuses on frequency control in modern power systems based on observation and dynamic state estimation techniques. Due to space limitation, readers who are interested in other techniques applied to power system frequency control, can refer to adaptive controller [7], sliding mode controller [8], [9], intelligent controller [10], [11], optimal controller [12] or hybrid controller [13]. However, most of the aforementioned techniques have several technical and practical issues that limit their feasible implementation in reality, as highlighted in the recent comprehensive literature survey regarding the methods suggested for load frequency control in the conventional, and modern smart power systems [14].…”

Section: B Literature Reviewmentioning

confidence: 99%

Decentralized Stochastic Disturbance Observer-Based Optimal Frequency Control Method for Interconnected Power Systems With High Renewable Shares

Haesalhelou

Parthasarathy

Nagpal³

et al. 2022

IEEE Trans. Ind. Inf.

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This paper proposes a novel, disturbance observerbased decentralized frequency control method for interconnected power systems. The method employs Extended Kalman Filter (EKF) as an observer to estimate inaccessible dynamic states of the system, including the total disturbance as one of the state variables. An optimal decentralized disturbance observer based controller (DOBC) is suggested for multi-area power systems that compensates the estimated disturbance and further based on minimizing the joint error energies of state estimation error and state tracking error provides its value to the controller for regulating the frequency variation. The proposed method is mathematically designed to be robust against parametric and non-parametric uncertainties. The efficacy and accuracy of the proposed control method is verified considering different types of practical operation scenarios. The results confirm the brilliant and superiority of the proposed method in controlling the frequency in power systems with high renewable shares.

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Section: B Literature Reviewmentioning

confidence: 99%

Decentralized Stochastic Disturbance Observer-Based Optimal Frequency Control Method for Interconnected Power Systems With High Renewable Shares

Haesalhelou

Parthasarathy

Nagpal³

et al. 2022

IEEE Trans. Ind. Inf.

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“…Ant colony, GA, PSO, ICA, etc., based control schemes [3][4]. An adaptive load frequency control technique utilizing jay and ballon effect in isolated microgrid power system and two interconnected microgrids (MGs) has been presented in [5]. It is seen that I, PI and PID [6] are popular among researchers due to their merits, like simple construction, easy implementation, good performance, etc.…”

Section: Introductionmentioning

confidence: 99%

Novel Neural Network-Based Load Frequency Control Scheme: A Case Study of Restructured Power System

Kumar¹,

Mlik

Singh

et al. 2021

IEEE Access

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Nowadays, neural networks (NN) are being utilized in different control problems because of their excellent ability to model any nonlinear process. NN is suitable for the process having a wide range of operating conditions. In this work, the neural network-based internal model control (NN-IMC) scheme has been considered as a secondary controller for the load frequency control (LFC) problem in the restructured electricity market in order to meet Poolco and bilateral transactions. The proposed control scheme has been implemented on a 75-bus, 15-generator power system. The test system is divided into four areas. It is seen that area frequency errors have been eliminated at a steady state in all cases, and Gencos/Discos shared the increase in demand as per their involvement in the frequency regulation market. The results show that the NN-IMC control scheme has good performance and improves system responses effectively. Further, the performance of the NN-IMC control scheme has also been compared with the fractional-order proportionalintegral-derivative (FO-PID) control scheme It is observed that the performance of the FO-PID controller is superior to the NN-IMC scheme in terms of settling time and similar to the NN-IMC control scheme in terms of maximum overshoots/undershoots. The compliance of the NN-IMC scheme has also been checked with NERC standards. It is seen that the NN-IMC scheme also satisfied the CPS1 and CPS2 control standards.

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“…Researchers are paying serious attention to enhancing the LFC mechanism and keeping up with emerging advancements in the power system 2–30 . The literature survey has started with several soft computing‐based classical controllers used for LFC.…”

Section: Introductionmentioning

confidence: 99%

“…The literature survey has started with several soft computing‐based classical controllers used for LFC. Integral (I), proportional‐integral (PI), and proportional integral derivative (PID) are some basic traditional controllers reported in the literature 3–14 . To accomplish a better operation, these controllers are accompanied by several metaheuristic algorithms.…”

Section: Introductionmentioning

confidence: 99%

Exploration of novel optimal fuzzy‐based controller for enhancement of frequency regulation of deregulated hybrid power system with modified HVDC tie‐line

Murali

Shankar

2021

Int J of Intelligent Sys

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Recent advancements in the power system put forth various challenges to frequency regulation studies. These challenges show an immense impact on the power system's inertia and load pattern. The traditional load frequency control (LFC) mechanism may not be efficient to sustain the frequency regulation against these new challenges. Hence an intelligent, effective, and efficient controller is indispensable for various operating conditions of the power system.With this motive, a new intelligence-based controller (i.e., fuzzy (FOPI λ ) + PIDN) is proposed and explored for the LFC of the modern power system.Besides, an opposition-based volleyball premier league algorithm is deployed to obtain optimal control parameters for the most promising results. The justification of the controller is evaluated on a nonlinear interconnected hybrid deregulated power system for several case studies. The effectiveness of the proposed controller has been verified by comparing it with several popular strategies for the step and random perturbation in load. Also, the firmness in the dynamic response against a wide range of system parameter variations has been analyzed. Moreover, the participation of a modified high

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A novel adaptive load frequency control in single and interconnected power systems

Cited by 33 publications

References 29 publications

Decentralized Stochastic Disturbance Observer-Based Optimal Frequency Control Method for Interconnected Power Systems With High Renewable Shares

Decentralized Stochastic Disturbance Observer-Based Optimal Frequency Control Method for Interconnected Power Systems With High Renewable Shares

Novel Neural Network-Based Load Frequency Control Scheme: A Case Study of Restructured Power System

Exploration of novel optimal fuzzy‐based controller for enhancement of frequency regulation of deregulated hybrid power system with modified HVDC tie‐line

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