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 27 publications

(14 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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“…An ACE signal is portrayed as a straight mixture of change in the tie-line power exchange and variations in frequency. The deliberate ACE signal while overseeing the output of the AGC circle, since the ACE signal is hurried toward zero through the AGC, frequency and tie-line power errors will be constrained to zeros (2) .…”

Section: Introductionmentioning

confidence: 99%

Cascade 2DOF-PIDN-FOPIDN Controller based AGC System of a Multi-Source Restructured Power System with HES and IPFC

Prakash¹,

Chidambaram²,

Paramasivam³

2021

IJST

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Background/Objectives: The essential goal of the Automatic Generation Control (AGC) framework is to limit the transient deviations in the area frequencies and tie-line power oscillations and to guarantee their steady-state errors to be zeros. Methods: The article proposes a new cascade Two Degree of Freedom PID including filter along with Fractional Order PID together with filter (2DOF-PIDN-FOPIDN) regulator which are designed using Buzzard Optimization Algorithm (BUZOA) technique and executed in the secondary controller of the AGC loop of a two-region thermal-hydro-wind restructured power system. The proposed novel 2DOF-PIDN-FOPIDN regulator consists of an integer order cascaded controller through a fractional order controller. It guarantees with the aim of the controller intend process be easy to execute and has an outstanding ability to manage parameters improbability, removes steady-state errors, and guarantees enhanced stability as compared with the 2 DOF-FOPIDN regulators. The controller gains and other control constraints were tuned with novel and efficient meta-heuristic optimization techniques such as the BUZOA technique. Further, the AGC loop of the proposed system is enhanced with the application of sophisticated Hydrogen Energy Storage (HES) units connected in the control area and FACTS devises like Interline Power Flow Controller (IPFC) which is also introduced in series with tie-line of the interconnected areas of the restructured power system under different possible exchanges. Findings and Novelty: The reproduction results uncover that the predominance of a new cascade 2DOF-PIDN-FOPIDN regulator, the unique presentation of AGC system of a two-region interconnected restructured power framework has worked on as far as less peak variation and settling time of region frequencies and tie-line power in different transactions as contrasted 2 DOF-FOPIDN regulators. Moreover, the execution of HES and IPFC units effectively arrest the fundamental decrease in frequency like the tie-line power deviation after an abrupt load disturbance to https://www.indjst.org/ 3442

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

Cited by 27 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

Cascade 2DOF-PIDN-FOPIDN Controller based AGC System of a Multi-Source Restructured Power System with HES and IPFC

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