Multi-area interconnected power system load frequency control using ELQR based state feedback gain controller

Kumari, Naresh; Malik, Nitin; Jha, A. N.

doi:10.1007/s12530-018-9252-x

Evolving Systems

2018

DOI: 10.1007/s12530-018-9252-x

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Multi-area interconnected power system load frequency control using ELQR based state feedback gain controller

Naresh Kumari

Nitin Malik

A. N. Jha

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Cited by 2 publications

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“…The MATLAB function LQR () is used here find the value of gain values of matrix K.The Q and R value chosen here is: Kalman filter For adequate state feedback control the full state measurement of a system is highly essential and all the state should be feedback to the controller. The physical state of a system cannot be easily obtained, which requires a separate observer to be connected in the feedback path, which is known as Kalman filter,Kumari et al (2018). Kalman filter is otherwise known as state observer.…”

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confidence: 99%

MVO optimized hybrid FOFPID-LQG controller for load frequency control of an AC micro-grid system

Mishra

Patel

Prusty

et al. 2020

WJE

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Purpose This paper aims to implement a maiden methodology for load frequency control of an AC multi micro-grid (MG) by using hybrid fractional order fuzzy PID (FOFPID) controller and linear quadratic Gaussian (LQG). Design/methodology/approach The multi MG system considered is consisting of photovoltaic, wind turbine and a synchronous generator. Different energy storage devices i.e. battery energy storage system and flywheel energy storage system are also integrated to the system. The renewable energy sources suffer from uncertainty and fluctuation from their nominal values, which results in fluctuation of system frequency. Inspired by this difficulty in MG control, this research paper proposes a hybridized FOFPID and LQG controller under random and stochastic environments. Again to confer viability of proposed controller its performances are compared with PID, fuzzy PID and fuzzy PID-LQG controllers. A comparative study among all implemented techniques i.e. proposed multi-verse optimization (MVO) algorithm, particle swarm optimization and genetic algorithm has been done to justify the supremacy of MVO algorithm. To check the robustness of the controller sensitivity analysis is done. Findings The merged concept of fractional calculus and state feedback theory is found to be efficient. The designed controller is found to be capable of rejecting the effect of disturbances present in the system. Originality/value From the study, the authors observed that the proposed hybrid FOPID and LQG controller is robust hence, there is no need to reset the controller parameters with a large change in network parameters.

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confidence: 99%

MVO optimized hybrid FOFPID-LQG controller for load frequency control of an AC micro-grid system

Mishra

Patel

Prusty

et al. 2020

WJE

View full text Add to dashboard Cite

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Nonlinear state-space modeling and optimal tracking control for pumped storage units

Yan,

Yin,

Zheng

2024

Applied Energy

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Multi-area interconnected power system load frequency control using ELQR based state feedback gain controller

Cited by 2 publications

References 38 publications

MVO optimized hybrid FOFPID-LQG controller for load frequency control of an AC micro-grid system

MVO optimized hybrid FOFPID-LQG controller for load frequency control of an AC micro-grid system

Nonlinear state-space modeling and optimal tracking control for pumped storage units

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