Application of power system stabilisers in a plant with identical units

Araújo, Clivaldo Silva de; Castro, J.C. de

doi:10.1049/ip-c.1991.0002

Cited by 26 publications

(5 citation statements)

References 3 publications

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“…Also, the intra-plant modes can be identified when a number of equal synchronous machines are operating within a single power generation plant. In this case, such generators can oscillate against each other in a frequency that is usually higher than the one associated to the local mode of these machines [24].…”

Section: Overview Of the Electromechanical Oscillation Problem In Powmentioning

confidence: 99%

Impact of power factor regulation on small‐signal stability of power distribution systems with distributed synchronous generators

Salim

Kuiava

Ramos

et al. 2010

Int Trans Elec Energy Syst

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SUMMARYDistributed generation (DG) usage is increasing nowadays, specially in the wider sense of microgrids. Its technical impacts and restrictions are still under study, and in several aspects are kept almost untouched. One of these aspects is the small-signal stability of distribution systems in the presence of distributed synchronous generators (DSG). This paper deals with such problem, presenting a comprehensive smallsignal stability study of a system under the specified conditions. The study considers two types of excitation control for synchronous generators: voltage and power factor. The focus, however, is on the latter, since it is the most widely used in distributed generators connected to distribution grids. Thus, a comparative analysis between these two control strategies is performed, allowing the investigation of their effects on the smallsignal stability of a power distribution system (PDS). This comparative analysis is performed with respect to the characteristics of its electromechanical oscillation modes (EOM) under several DG penetration levels.

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Section: Overview Of the Electromechanical Oscillation Problem In Powmentioning

confidence: 99%

Impact of power factor regulation on small‐signal stability of power distribution systems with distributed synchronous generators

Salim

Kuiava

Ramos

et al. 2010

Int Trans Elec Energy Syst

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“…From the perspective of the connection structure of MASs workspace, each agent is seen as a node in a network topology graph, where the spatial dimension of each node is same or different. In view of the experiences of the similar distinguishing feature of large-scale systems in [Dearaujo et al, 1991, Bakule et al, 1988, Wang et al, 2000, Yan et al, 1998, Yan et al, 1999, Wang et al, 2012, the similar properties were introduced to similar agents with nonidentical dimensions in this paper. By introducing the characteristics of similar heterogeneous agents, a unique consensus RBFNN adaptive control based on the similar parameters among each agent with different dimensions is studied.…”

Section: Introductionmentioning

confidence: 99%

Distributed Adaptive Control for a Class of Heterogeneous Nonlinear Multi-agent Systems With Nonidentical Dimensions

Qin

Fan

2022

Preprint

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A novel distributed adaptive control scheme based on radial basis neural network (RBFNN) is proposed for a class of leaderless heterogeneous nonlinear multi-agent system with same and different dimensions. Considering the nonidentical dynamic differential equation with different dimensions of each agent, the definition with similar parameters of each agent is addressed, and then the distributed control consisting of a series of similar matrices or vectors can make that the states of follower agents track the leader's dynamic behaviors. Through the coupling weight adaptive laws and the feedback control of neural network weights, it is ensured that all signals are uniformly ultimately bounded. Finally, two simulation examples are utilized to verify the effectiveness of the proposed control design method.

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“…Each agent is viewed as a node in a network topology graph from the perspective of the MASs workspace's connection structure, where the spatial dimension of each node is the same or different. In this study, similar qualities were introduced to comparable agents with nonidentical dimensions based on the experiences of the similar distinguishing feature of largescale systems in [31][32][33][34][35][36]. A unique consensus RBFNN adaptive control based on the comparable parameters among each agent with various dimensions is examined by adding the characteristics of similar heterogeneous agents.…”

Section: Introductionmentioning

confidence: 99%

Distributed Adaptive Control for a Class of Heterogeneous Nonlinear Multi-Agent Systems with Nonidentical Dimensions

2022

Teh. vjesn.

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A novel feedback distributed adaptive control strategy based on radial basis neural network (RBFNN) is proposed for the consensus control of a class of leaderless heterogeneous nonlinear multi-agent systems with the same and different dimensions. The distributed control, which consists of a sequence of comparable matrices or vectors, can make that all the states of each agent to attain consensus dynamic behaviors are defined with similar parameters of each agent with nonidentical dimensions. The coupling weight adaptation laws and the feedback management of neural network weights ensure that all signals in the closed-loop system are uniformly ultimately bounded. Finally, two simulation examples are carried out to validate the effectiveness of the suggested control design strategy.

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Application of power system stabilisers in a plant with identical units

Cited by 26 publications

References 3 publications

Impact of power factor regulation on small‐signal stability of power distribution systems with distributed synchronous generators

Impact of power factor regulation on small‐signal stability of power distribution systems with distributed synchronous generators

Distributed Adaptive Control for a Class of Heterogeneous Nonlinear Multi-agent Systems With Nonidentical Dimensions

Distributed Adaptive Control for a Class of Heterogeneous Nonlinear Multi-Agent Systems with Nonidentical Dimensions

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