Frequency control strategy of multi‐area hybrid power system based on frequency division and sliding mode algorithm

Mi, Yang; He, Xingtang; Hao, Xuezhi; Li, Zhenkun; Fu, Yang; Wang, Chengshan; Wang, Jianhui

doi:10.1049/iet-gtd.2018.5145

Cited by 22 publications

(14 citation statements)

References 23 publications

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“…e sliding mode controller (SMC) has appeared as one of the most powerful robust controllers for uncertain nonlinear interconnected power systems (NIPSs) due to its inherent robust operation against structured vulnerabilities and considerable improvement in the system dynamics [14,15]. In frequency regulation of power systems with or without RPRs, the SMC has received much attention.…”

Section: Introductionmentioning

confidence: 99%

Frequency Regulation of Nonlinear Power Systems using Neural Network Observer-Based Optimized Resilient Controller

Patel

Guha

Purwar

2022

International Transactions on Electrical Energy Systems

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This study introduces a resilient frequency controller for nonlinear interconnected power systems to counteract endogenous/exogenous system disturbances. A neural network-based observer (NNO) is intended to estimate lumped system disturbances, such as unmodelled dynamics and unknown disturbances. The estimated NNO’s output is incorporated with a second-order sliding mode controller (SOSMC) to minimize chattering in the control effort and improve the nominal performance of the undertaken plant. The design parameters of SOSMC have been optimally identified by applying Harris hawk optimization (HHO), exercising integral error-based objective function. HHO has demonstrated superior tuning capabilities than other well-known optimization methodologies in terms of convergence rate and transient measurements of system outputs. The asymptotic convergence of estimated error and overall stability of the system has been established employing the Lyapunov argument. System outputs are compared with the results reported in the literature to validate the efficacy of the proposed resilient frequency controller. Presented results showcase the mastery of the applied NNO-based SOSMC over its counterparts in weaker chattering, fast disturbance rejection, and a high degree of robustness against endogenous/exogenous disturbances.

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Section: Introductionmentioning

confidence: 99%

Frequency Regulation of Nonlinear Power Systems using Neural Network Observer-Based Optimized Resilient Controller

Patel

Guha

Purwar

2022

International Transactions on Electrical Energy Systems

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“…Various control techniques have been used in LFC to address these control issues, like model predictive control (MPC) [7], internal model control (IMC) [8], twodegree of freedom IMC (2DoF-IMC) [9], H-infinity control [10,11], SMC [12][13][14][15], active disturbance rejection control (ADRC) [16,17], the direct synthesis (DS) approach [18,19] and artificial intelligence techniques [20] etc.…”

Section: Introductionmentioning

confidence: 99%

Sliding mode controller design for frequency regulation in an interconnected power system

Kumar

Anwar

Kumar

2021

Prot Control Mod Power Syst

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In this paper, a Sliding mode controller design method for frequency regulation in an interconnected power system is presented. A sliding surface having four parameters has been selected for the load frequency control (LFC) system model. In order to achieve an optimal result, the parameter of the controller is obtained by grey wolf optimization (GWO) and particle swarm optimization (PSO) techniques. The objective function for optimization has been considered as the integral of square of error of deviation in frequency and tie-line power exchange. The method has been validated through simulation of a single area as well as a multi-area power system. The performance of the Sliding mode controller has also been analyzed for parametric variation and random loading patterns. The performance of the proposed method is better than recently reported methods. The performance of the proposed Sliding mode controller via GWO has 88.91% improvement in peak value of frequency deviation over the method of Anwar and Pan in case study 1 and similar improvement has been observed over different case studies taken from the literature.

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“…The LFC methods involved in the above studies include: PI/PID control [13][14][15][16][17][18], fuzzy control [19][20][21][22][23][24], sliding mode control [25][26][27][28][29][30], and model predictive control [31][32][33][34][35][36]. Although conventional PI/PID control, which is not combined with other algorithms, is widely used in LFC because of its simple structure, it cannot adjust parameters in real time.…”

Section: Introductionmentioning

confidence: 99%

Load Frequency Control of Photovoltaic Generation-Integrated Multi-Area Interconnected Power Systems Based on Double Equivalent-Input-Disturbance Controllers

Yang

Wang

et al. 2020

Energies

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With the rapid increase of photovoltaic (PV) penetration and distributed grid access, photovoltaic generation (PVG)-integrated multi-area power systems may be disturbed by more uncertain factors, such as PVG, grid-tie inverter parameters, and resonance. These uncertain factors will exacerbate the frequency fluctuations of PVG integrated multi-area interconnected power systems. For such system, this paper proposes a load frequency control (LFC) strategy based on double equivalent-input-disturbance (EID) controllers. The PVG linear model and the multi-area interconnected power system linear model were established, respectively, and the disturbances were caused by grid voltage fluctuations in PVG subsystem and PV output power fluctuation and load change in multi-area interconnected power system. In PVG subsystems and multi-area interconnected power systems, two EID controllers add differently estimated equivalent system disturbances, which has the same effect as the actual disturbance, to the input channel to compensate for the impact of actual disturbances. The simulation results in MATLAB/Simulink show that the frequency deviation range of the proposed double EID method is 6% of FA-PI method and 7% of conventional PI method, respectively, when the grid voltage fluctuation and load disturbance exist. The double EID method can better compensate for the effects of external disturbances, suppress frequency fluctuations, and make the system more stable.

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Frequency control strategy of multi‐area hybrid power system based on frequency division and sliding mode algorithm

Cited by 22 publications

References 23 publications

Frequency Regulation of Nonlinear Power Systems using Neural Network Observer-Based Optimized Resilient Controller

Frequency Regulation of Nonlinear Power Systems using Neural Network Observer-Based Optimized Resilient Controller

Sliding mode controller design for frequency regulation in an interconnected power system

Load Frequency Control of Photovoltaic Generation-Integrated Multi-Area Interconnected Power Systems Based on Double Equivalent-Input-Disturbance Controllers

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