Stabilization of perturbed system via IMC: An application to load frequency control

Saxena, Sahaj; Hote, Yogesh V.

doi:10.1016/j.conengprac.2017.04.002

Cited by 61 publications

(33 citation statements)

References 38 publications

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“…The key idea behind the proposed method is obtaining the dynamic predictive model by introducing an expanded state vector, and rolling optimization of control signal vectors based on a cost function by minimizing the weighted sum of square predicted errors and square future control values. By defining an extend state vector Z(k) = (∆x(k) y(k − 1)) T , the following expanded discrete-time state space model is reformulated according to the Equations (18) and (19):…”

Section: The Proposed Methodsmentioning

confidence: 99%

“…For example, as the most popular control technique, proportional-integral-derivative (PID) controller and its various variations have been widely applied to the LFC issue [3][4][5][6][7][8]. Moreover, some researchers have paid more attention to the advanced control theories based LFC methods recently, such as robust control theories [9], model predictive control [10][11][12][13][14], sliding mode control [15,16], neural network control [17], internal model control [18], and differential games [19]. It should be noted that there are different evolutionary algorithms based PID or proportional-integral (PI) control methods for the LFC issue of multi-area power systems.…”

Section: Introductionmentioning

confidence: 99%

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An Adaptive Model Predictive Load Frequency Control Method for Multi-Area Interconnected Power Systems with Photovoltaic Generations

2017

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Abstract:As the penetration level of renewable distributed generations such as wind turbine generator and photovoltaic stations increases, the load frequency control issue of a multi-area interconnected power system becomes more challenging. This paper presents an adaptive model predictive load frequency control method for a multi-area interconnected power system with photovoltaic generation by considering some nonlinear features such as a dead band for governor and generation rate constraint for steam turbine. The dynamic characteristic of this system is formulated as a discrete-time state space model firstly. Then, the predictive dynamic model is obtained by introducing an expanded state vector, and rolling optimization of control signal is implemented based on a cost function by minimizing the weighted sum of square predicted errors and square future control values. The simulation results on a typical two-area power system consisting of photovoltaic and thermal generator have demonstrated the superiority of the proposed model predictive control method to these state-of-the-art control techniques such as firefly algorithm, genetic algorithm, and population extremal optimization-based proportional-integral control methods in cases of normal conditions, load disturbance and parameters uncertainty.

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Section: The Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Adaptive Model Predictive Load Frequency Control Method for Multi-Area Interconnected Power Systems with Photovoltaic Generations

2017

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“…The system model described in (1)- (11) for ith CA is summarized in the state-space model as in (12) and (13).…”

Section: Multi-area Ips Mathematical Modelingmentioning

confidence: 99%

“…For instance, in [10], a robust LFC scheme using artificial neural network-based for multi-area system is proposed. In separate but similar studies, proportionalintegral-derivative (PID) controller applied for LFC application is proposed in [11,12], while a hybridized fuzzy logic-PID controller is developed in [13] for frequency control of IPS. In the study, comparative analysis is carried out between Ziegler-Nichols tuned PID that tuned using heuristic particle swarm optimization (PSO) technique.…”

Section: Introductionmentioning

confidence: 99%

Improved model predictive load frequency control of interconnected power system with synchronized automatic generation control loops

Kunya

Argin

Jibril

et al. 2020

Beni-Suef Univ J Basic Appl Sci

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Background Automatic generation control (AGC) of multi-area interconnected power system (IPS) is often designed with negligible cross-coupling between the load frequency control (LFC) and automatic voltage regulation (AVR) loops. This is because the AVR loop is considerably faster than that of LFC. However, with the introduction of slow optimal control action on the AVR, positive damping effect can be achieved on the LFC loop thereby improving the frequency control. In this paper, LFC synchronized with AVR in three-area IPS is proposed. Model predictive controller (MPC) configured in a dense distributed pattern, due to its online set-point tacking is used as the supplementary controller. The dynamics of the IPS subjected to multi-area step and random load disturbances are studied. The efficacy of the developed scheme is ascertained by simulating the disturbed system in MATLAB/Simulink. Results Based on the comparative analysis on the system responses, it is established that by cross-coupling the LFC loop with AVR, reductions of 66.45% and 59.09% in the frequency and tie-line power maximum deviations respectively are observed, while the respective settling times are found to be reduced by 29.68% and 22.77% when compared with the uncoordinated control scheme. In addition, the standard deviation and variance of the integral time absolute error of the system’s responses have reduced by 23.21% and 20.83% respectively compared to those obtained in a similar study. Conclusions The reduction in the maximum deviations and settling times in the system states indicates that introducing the voltage control via AVR loop has improved the frequency control significantly. While the lower standard deviation and variance of the integral time absolute error signify improvement in the robustness of the developed algorithm. However, this improvement is at the detriment of the controller size and computational complexity. In the uncoordinated control scheme, the control vector is one-dimensional, while in the coordinated scheme, the control vector is two-dimensional for each CA.

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“…A lot of research has been done in the LFC system for improvement in frequency deviation as well as tie-line power exchange between others area. Various controller design technique has been implemented for LFC system such as fractional order Proportional-Integral-Derivative (FOPID) [4], Proportional-integralderivative-acceleration (PIDA) [5,6], Model predictive control (MPC) [7,8], Fuzzy logic controller (FLC) [9,10], internal model control (IMC) [11][12][13][14], cascade control [15,16], sliding mode control (SMC) [17,18], direct synthesis (DS) approach [19][20][21], variable structure control [22], active-disturbancerejection-control (ADRC) [23][24], H∞ control [25], two degree of freedom (2DoF) control [26,27], coefficient diagram method [28] etc.…”

Section: Introductionmentioning

confidence: 99%

Parallel Control Structure Scheme for Load Frequency Controller Design using Direct Synthesis Approach

Kumar

Anwar

2020

IJECE

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This paper presents load frequency controller design for a single area as well as the multi-area thermal power system using direct synthesis approach with parallel control structure (PCS) scheme. The set-point and load frequency controller has been designed for frequency regulation and maintains tie-line power within a pre-specified limit for LFC power system. The proposed controller has been implemented for single-area, two-area, and four-area thermal power system for frequency regulation. The proposed method shows impressive simulation results compared with existed control method. The robustness of the proposed method has been examined with the help maximum sensitivity and parametric variation in the nominal power system.

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Stabilization of perturbed system via IMC: An application to load frequency control

Cited by 61 publications

References 38 publications

An Adaptive Model Predictive Load Frequency Control Method for Multi-Area Interconnected Power Systems with Photovoltaic Generations

An Adaptive Model Predictive Load Frequency Control Method for Multi-Area Interconnected Power Systems with Photovoltaic Generations

Improved model predictive load frequency control of interconnected power system with synchronized automatic generation control loops

Parallel Control Structure Scheme for Load Frequency Controller Design using Direct Synthesis Approach

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