Adaptive Distributed Consensus Protocol for Automatic Generation Control of Large-Scale Interconnected Power Systems

Yin, Linfei; Zhang, Bin; Yu, Tao; Chen, Lvpeng; Zheng, Baomin

doi:10.1109/access.2019.2910567

Cited by 6 publications

(3 citation statements)

References 24 publications

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“…calculated a BESS also minimizing the BESS's area with enhancing lifespan. Authors (Yin, et al, 2019;Khadanga, et al, 2017;& Wu, et al, 2016) worked for interconnected systems with hybrid intelligent optimization techniques utilized in AGC. Zhang et al (2017) utilized RMC technique with distributed coordination AGC as regulation capacity in different areas to remove frequency deviations.…”

Section: Some Recent Ai Techniques In Agcmentioning

confidence: 99%

Recent Strategies for Automatic Generation Control of Power Systems With Diverse Energy Sources

Kumar

Singh

2021

International Journal of System Dynamics Applications

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This paper reveals Automatic Generation Control (AGC) strategies of power systems including diverse type power generating sources and comprehensive literature review is also presented. These diverse type energy sources considered conventional power sources like thermal, diesel, nuclear, etc. and Renewable Energy Sources (RESs). RESs are solar energy, wind energy, hydro energy, etc. A variety of AGC schemes based on hard, soft and artificial intelligent computation techniques is presented here. The benefits and their limitations of these energy generating units are also taken in this article. In the present scenario, deregulation, smart micro-grid and grid concept is also utilized with interconnection of the considered energy generating sources. The literature of this review article fulfills the gap of recent and previous decades research work and provides future exploration in AGC techniques.

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Section: Some Recent Ai Techniques In Agcmentioning

confidence: 99%

Recent Strategies for Automatic Generation Control of Power Systems With Diverse Energy Sources

Kumar

Singh

2021

International Journal of System Dynamics Applications

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“…Theoretical studies on it are presented (Cai et al, 2016; Meng et al, 2020; Ning et al, 2020; Zhao and Hua, 2020), just a few to name. The consensus of multi-agents has been studied for decades, and it is widely applied in many areas, such as power systems, form cooperative control, unmanned aerial vehicles (UVAs) and robotics (Liu et al, 2018; Mehdifar et al, 2020; Wang et al, 2018; Xu et al, 2021; Yin et al, 2019). Nonholonomic system is a typical system with nonholonomic constraints (nonholonomic constraints include nonintegrable derivatives of generalized coordinates of the system).…”

Section: Introductionmentioning

confidence: 99%

Fast finite-time consensus protocol of multi-agent systems with nonholonomic constraints

Zhang

Cai

Wang

2022

Transactions of the Institute of Measurement and Control

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In this paper, a fast finite-time consensus protocol for multi-agent systems with nonholonomic constraints is studied. First, the chained form nonholonomic systems are transformed into two subsystems, which are the first-order subsystem and the reduced-order subsystem. Based on graph theory content and fast finite-time control theory, the fast finite-time consensus problems of the two subsystems are taken into consideration separately. Second, a switching control strategy is proposed to ensure that all states of multiple nonholonomic systems converge instantly to the same state in finite time. Finally, a numerical example is given to verify the effectiveness of the proposed control algorithm.

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“…During the past decades, the consensus issue for multi-agent systems has been paid extensive attention. This is mainly due to its wide practical applications in many fields including power systems, UVAs, formation control, and robotics [5]- [9]. Then a very important property in the study of consensus is the rate of convergence, FTC becoming one hot topic for its faster convergence and superior performance [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Practical Fast Finite-Time Consensus Protocols for High-Order Nonlinear Multi-Agent Systems With Full State Constraints

Shang

Cai

2021

IEEE Access

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This paper mainly addresses the issue of fast finite-time consensus (FTC) algorithms for a group of high-order uncertain nonlinear non-strict-feedback Multi-agent Systems (MASs) with time-varying asymmetric full state constraints. In order to guarantee the state constraints are satisfied, an appropriate asymmetric nonlinear mapping (NM) is employed to transform the original full state constrained system into a corresponding unconstrained one. Combining neural networks technology, graph theory, fast finitetime control theory and backstepping recursive design scheme, the uncertainties and non-strict-feedback form are considered to propose a distributed adaptive FTC protocol which can guarantee tracking error reaching a region in finite time. Finally, an example is given to show that the designed control law can perform effective control.INDEX TERMS multi-agent systems, fast finite-time control, non-strict-feedback structure, time-varying asymmetric state constraints.

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Adaptive Distributed Consensus Protocol for Automatic Generation Control of Large-Scale Interconnected Power Systems

Cited by 6 publications

References 24 publications

Recent Strategies for Automatic Generation Control of Power Systems With Diverse Energy Sources

Recent Strategies for Automatic Generation Control of Power Systems With Diverse Energy Sources

Fast finite-time consensus protocol of multi-agent systems with nonholonomic constraints

Adaptive Practical Fast Finite-Time Consensus Protocols for High-Order Nonlinear Multi-Agent Systems With Full State Constraints

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