Distributed secondary voltage control for autonomous microgrids under additive measurement noises and time delays

Lai, Jingang; Lu, Xiaoqing; Monti, Antonello

doi:10.1049/iet-gtd.2018.5946

Cited by 19 publications

(6 citation statements)

References 33 publications

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“…x^(k + 1) = Ax(k) + Bû(k) (12) where x ∈ ℝ n denotes the state vector of the model and û ∈ ℝ m denotes the control vector of the model. A and B are the constant system matrices with appropriate dimensions.…”

Section: Stability Analysis and Control Designmentioning

confidence: 99%

“…This paper proposes a secondary control scheme that ensures reliability and quality of power supply. More recently, several notable works on the distributed or communication-based secondary control have been reported [10][11][12][13][14][15]. Considering the effect of uncertain communication topologies, a stochastic distributed secondary control strategy is implemented in [10] to achieve mean-square synchronisation for frequency/voltage restoration in AC microgrids.…”

Section: Introductionmentioning

confidence: 99%

“…In practical communication networks of microgrids, the effects of noisy interference and communication delay may occur. Thus, a distributed cooperative control strategy is proposed in [12] to achieve voltage restoration of distributed generators in autonomous microgrids. Considering slow switching topologies and communication delays, the work [13] proposes a robust neighbour-based distributed cooperative control strategy for DC CP microgrids.…”

Section: Introductionmentioning

confidence: 99%

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Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Hossain

Chen

2020

IET gener. transm. distrib.

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In this study, a novel H ∞ predictive event-triggered load frequency control has been developed for a hybrid power system with renewable energy sources (RESs) to deal with denial-of-service (DoS) attacks, where the DoS duration (the time attack lasts) are boundless. A predictive event-triggered transmission scheme is built for the multi-area hybrid power systems under DoS attacks to reduce the load of network bandwidth while maintaining adequate levels of performance. Therefore, an observer-based predictive controller is developed in the presence of both external disturbances and DoS attacks by formulating the LFC problem as a disturbance attenuation issue. In the proposed method, a hybrid power system with RESs is used to achieve novel and better security strategies. Based on the new model, sufficient conditions are obtained using the Lyapunov stability theory to ensure a stable multi-area hybrid power system with a prescribed H ∞ performance. Moreover, an algorithm is provided to obtain the control strategy of DoS attacks. Finally, the simulation of a hybrid power system with RESs is presented to demonstrate the effectiveness of the proposed method in dealing with the DoS attacks. M positive integer N upper bound of the total networked delay Φ symmetric positive definite weighting matrix k s i successful transmitted time of control data packet k s i + m virtual triggering time in controller

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Section: Stability Analysis and Control Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Hossain

Chen

2020

IET gener. transm. distrib.

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“…• Unlike [22], [26], [35], our control approach ensures the finite-time stability of the MG, thus allowing both to speed-up the synchronization process to the reference behaviour despite the presence of sensitive loads and communication latencies and to guarantee prescribed transient performances; • Differently from [22], [35], by exploiting Lyapunov-Krasovskii theory and Finite-Time stability tools, we provide a delay-dependent control gain tuning procedure, expressed as set of LMI, whose solution allows finding the voltage controller gain and state trajectories bound as function of the upper bound for the communication time-delay; this guarantees a certain stability margin w.r.t. sudden packet losses, which can be modeled as hard delays; • Differently from [22], [28], [32], [35], an extensive simulation analysis is carried out by considering a practical case-of-study of the IEEE 14-bus Test system, where no overlapping between electrical and communication layers is considered. Moreover, the worst case scenarios of hard load variations and plug-and-play of DG units are also discussed in order to confirm the robustness of the proposed control approach with respect to sudden changing into the surrounding environment; • The validation of the proposed networked-based finitetime delayed control action also in the IEEE 30 bus test system with more distributed energy resources corroborates its applicability on larger networks.…”

Section: Introductionmentioning

confidence: 99%

Distributed Robust Finite-Time Secondary Control for Stand-Alone Microgrids With Time-Varying Communication Delays

et al. 2021

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In this paper we consider the problem of restoring the voltage for stand-alone inverter-based Microgrids despite the effects of the time-delays arising with the information exchange among the electrical busses. To guarantee that all Distributed Generators (DGs) reach in a finite-time and maintain the voltage set-point, as imposed by a virtual DG acting as a leader, we suggest a novel robust networked-based control protocol that is also able to counteract both the time-varying communication delays and natural fluctuations caused by the primary controllers. The finite-time stability of the whole Microgrid is analytically proven by exploiting Lyapunov-Krasovskii theory and finite-time stability mathematical tools. In so doing, delaydependent stability conditions are derived as a set of Linear Matrix Inequalities (LMIs), whose solution allows the proper tuning of the control gains such that the control objective is achieved with required transient and steady-state performances. A thorough numerical analysis is carried out on the IEEE 14-bus test system. Simulation results corroborate the analytical derivation and reveal both the effectiveness and the robustness of the suggested controller in ensuring the voltage restoration in finite-time in spite of the effects of time-varying communication delays.

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“…In addition, technical requirements of grid codes for integrating renewable energies have not been considered. In [16], the authors target secondary voltage applications of a 100% inverter-based microgrid showing the effect of communication delays. In [15] and [16], inverter based secondary voltage control is distributed and controlling buses, which include distributed generation.…”

Section: Introductionmentioning

confidence: 99%

Secondary Voltage Control Application in a Smart Grid with 100% Renewables

2020

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This paper presents secondary voltage control by extracting reactive power from renewable power technologies to control load buses voltage in a power system at different operating conditions. The study is performed on a 100% renewable 14-bus system. Active and reactive powers controls are considered based on grid codes of countries with high penetration levels of renewable energy technologies. A pilot bus is selected in order to implement the secondary voltage control. The selection is based on short-circuit calculation and sensitivity analysis. An optimal Proportional Integral Derivative (PID) voltage controller is designed using genetic algorithm. A comparison between system with and without secondary voltage control is presented in terms of voltage profile and total power losses. The optimal voltage magnitudes at busbars are calculated to achieve minimum power losses using optimal power flow. The optimal placement of Phasor Measurement Units (PMUs) is performed in order to measure the voltage magnitude of buses with minimum cost. Optimization and simulation processes are performed using DIgSILENT and MATLAB software applications.

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Distributed secondary voltage control for autonomous microgrids under additive measurement noises and time delays

Cited by 19 publications

References 33 publications

Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Distributed Robust Finite-Time Secondary Control for Stand-Alone Microgrids With Time-Varying Communication Delays

Secondary Voltage Control Application in a Smart Grid with 100% Renewables

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Distributed secondary voltage control for autonomous microgrids under additive measurement noises and time delays

Cited by 19 publications

References 33 publications

Predictive event‐triggered H ∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Predictive event‐triggered H ∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Distributed Robust Finite-Time Secondary Control for Stand-Alone Microgrids With Time-Varying Communication Delays

Secondary Voltage Control Application in a Smart Grid with 100% Renewables

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Resources

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Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks

Predictive event‐triggered H _∞ load frequency control for hybrid power systems under denial‐of‐service attacks