Decentralized PID load frequency control for perturbed multi-area power systems

Saxena, Sahaj; Hote, Yogesh V.

doi:10.1016/j.ijepes.2016.02.041

Cited by 86 publications

(34 citation statements)

References 44 publications

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“…Frequency deviation of area i ∆P 1 The intermediate power deviation of PV ∆P 3 Power deviation of governor ∆P 4 Power deviation of steam turbine ∆P 5 Power deviation of and re-heater ∆P ci Control signal of area i ∆P Li…”

Section: Nomenclature ∆F Imentioning

confidence: 99%

“…Over the past four decades, a variety of great achievements have been made for the LFC issueof traditional power systems. 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].…”

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: Nomenclature ∆F Imentioning

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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“…This requires using a decentralized control strategy, since the dynamic response of each type of power plant is different from the others. Furthermore, the centralized control scheme is implemented with difficulty due to the excessive cost of transmitting data over the long distances as well as the errors, which might be caused accordingly [15]. Hence, the decentralized scheme is more accurate and realistic than the centralized control strategy.…”

Section: Introductionmentioning

confidence: 99%

A Novel Design of Decentralized LFC to Enhance Frequency Stability of Egypt Power System Including Wind Farms

Magdy

Shabib

Elbaset

et al. 2018

IRECON

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This paper presents a real hybrid power system in Egypt, which includes both conventional generation units and Renewable Energy Sources (RESs) for studying the Load Frequency Control (LFC) problem. The conventional generation system in the Egyptian Power System (EPS) is decomposed into three dynamic subsystems; non-reheat, reheat and hydro power plants. Moreover, real wind speed data extracted from Zafarana location in Egypt is used for achieving a realistic wind power study. Each subsystem of the EPS has its own characteristics compared to the others. Moreover, the physical constraints of the governors and turbines such as Generation Rate Constraints (GRCs) of power plants and speed governor dead band (i.e., backlash) are taken into consideration. Therefore, this paper proposes a decentralized controller for each subsystem independently, to guarantee the stability of the overall closed-loop system. Hence, an optimal PID controller-based Particle Swarm Optimization (PSO) algorithm is proposed for every subsystem separately to regulate the frequency and track the load demands of the EPS. The performance of the proposed decentralized controller of each subsystem is compared to the centralized one under different operational scenarios. The EPS is tested using the nonlinear simulation by Matlab/SIMULINK. The obtained results reveal the superior robustness of the proposed decentralized controller against different load disturbance patterns, real wind power fluctuations and EPS uncertainties. Nomenclature Pn1Nominal rated Power output for the non-reheat plant (MW pu)∆fThe frequency deviation of the EPS (Hz) Pn2Nominal rated Power output for the reheat G. Magdy et al.

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“…Load-frequency control (LFC) plays an important role in the operation of interconnected power systems to regulate the frequency and the tie line interchanges among different control areas [1]. There are many different control methods, which have been proposed in designing load frequency controllers with better performance to maintain the frequency and to keep tie line power flows within prespecified values during the last two decades [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. The most conventional decentralized control methods for LFC are proportionalintegral control [1], proportional-double integral control [2], and PID control [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…PI control has the advantage of a simple controller structure. But it can yield a long settling time and a large overshoot in transient response [4]. PID controller is an effective LFC when the system is operating in the vicinity of the nominal operating point.…”

Section: Introductionmentioning

confidence: 99%

Decentralized Adaptive Double Integral Sliding Mode Controller for Multi-Area Power Systems

Minh

Huynh

Nguyen

et al. 2018

Mathematical Problems in Engineering

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Most of the existing results for load frequency control of multi-area interconnected power systems can only be obtained when the norm of the aggregated uncertainties is bounded by a positive constant. This condition is difficult to achieve in real multi-area interconnected power systems. In this paper, a new load frequency control (LFC) for multi-area interconnected power systems is developed based on a decentralised adaptive double integral sliding mode control technique where the above limitation is eliminated. First, an adaptive gain tuning law is adopted to estimate the unknown upper bound of the aggregated uncertainties. Second, a double integral sliding surface based adaptive sliding mode controller is proposed to improve the transient performance of the closed loop system. Simulation results show that the proposed control law results in shortening the frequency’s transient response, avoiding the overshoot, rejecting disturbance better, maintaining required control quality in the wider operating range, and being more robust to uncertainties as compared to some existing control methods.

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Decentralized PID load frequency control for perturbed multi-area power systems

Cited by 86 publications

References 44 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

A Novel Design of Decentralized LFC to Enhance Frequency Stability of Egypt Power System Including Wind Farms

Decentralized Adaptive Double Integral Sliding Mode Controller for Multi-Area Power Systems

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