Load frequency control in power systems by a robust backstepping sliding mode controller design

Ansari, Javad; Homayounzade, Mohamadreza; Abbasi, Ali Reza

doi:10.1016/j.egyr.2023.08.008

Cited by 9 publications

(2 citation statements)

References 37 publications

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“…As the scale and complexity of modern power systems gradually increase, various advanced control algorithms have been studied to varying degrees in LFC, such as sliding mode control [6][7][8], robust control [9,10], automatic adaptive control [11,12] and modelpredictive control [13][14][15], etc. However, although the advanced control methods mentioned above have improved the LFC performance of the power system, these methods are not suitable for application in engineering practice because of their complex structures and excessive information requirements.…”

Section: Introductionmentioning

confidence: 99%

Load Frequency Active Disturbance Rejection Control Based on Improved Particle Swarm Optimization

Wang,

Sun

2024

Electronics

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A load frequency control (LFC) system based on active disturbance rejection control (ADRC) is designed to solve the problem of frequency modulation caused by large-scale renewable energy grid connection. Traditional parameter-tuning methods are inefficient and often fail to achieve desired control outcomes. To overcome this, an improved Particle Swarm Optimization (PSO) algorithm is introduced, incorporating Levy flight and chaotic mapping. This enhanced algorithm combines the long step–length search capability of Levy flight with the rapid exploration of initial solution space using Tent chaotic mapping, enhancing PSO’s global search ability and addressing premature convergence issues. Simulation results demonstrate that the ADRC controller optimized by the improved algorithm exhibits greater robustness and smaller deviation compared to the original algorithm, showcasing its excellent control performance.

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Section: Introductionmentioning

confidence: 99%

Load Frequency Active Disturbance Rejection Control Based on Improved Particle Swarm Optimization

Wang,

Sun

2024

Electronics

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“…For multiarea interconnected power systems under deception attack, an observer-based event-triggered transmission scheme was proposed to ensure the attacked power system can reach a stable position in Qiao et al (2021). In Ansari et al (2023), for two-area thermal interconnected power system, a novel sliding-mode LFC strategy was designed to achieve better tracking performance. From Ge et al (2021), for a microgrid with hybrid energy storage system (HESS), based on sliding mode method, a frequency coordinated control strategy was designed to avoid unreasonable power output.…”

Section: Introductionmentioning

confidence: 99%

Load frequency control of new energy power system based on adaptive global sliding mode control

Liang,

Jiaming,

Xinxin

2024

Front. Energy Res.

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Owing to the challenges of unstable generation and random load disturbance in new energy power system, this paper integrates the battery energy storage model into the traditional load frequency control (LFC) framework, and proposes a LFC scheme based on adaptive global sliding mode control to stabilize the frequency of power systems amid unpredictable load frequency deviation. First of all, the nonlinear time-varying function is added to the sliding mode surface to make the system globally robust. Then, an adaptive sliding mode control law is crafted to dynamically adjust the frequency variations caused by random load disturbance. Moreover, by utilizing the improved Lyapunov function and Bessel-Legendre inequality, the stabilization criteria of multi-area interconnected power system are built. Finally, the efficacy of the proposed method is demonstrated through single and double area LFC simulation experiments with the common system parameters.

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Application of an intelligent fuzzy logic based sliding mode controller for frequency stability analysis in a deregulated power system using OPAL-RT platform

Begum,

Jena,

Sahu

et al. 2024

Energy Reports

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Load frequency control in power systems by a robust backstepping sliding mode controller design

Cited by 9 publications

References 37 publications

Load Frequency Active Disturbance Rejection Control Based on Improved Particle Swarm Optimization

Load Frequency Active Disturbance Rejection Control Based on Improved Particle Swarm Optimization

Load frequency control of new energy power system based on adaptive global sliding mode control

Application of an intelligent fuzzy logic based sliding mode controller for frequency stability analysis in a deregulated power system using OPAL-RT platform

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