Communication time delay estimation for load frequency control in two-area power system

Singh, Vijay Pratap; Kishor, Nand; Samuel, Paulson

doi:10.1016/j.adhoc.2015.10.010

Cited by 45 publications

(24 citation statements)

References 35 publications

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“…• Transmission delay, propagation delay, queuing delay and routing delay which adds latency into network has not been considered in [13][14][15][16], [18], [22]. • Throughput and channel utilization is not considered [13][14][15][16], [18], [22]. • Impact of communication bandwidth on communication delay has not been reported in [14], [16], [18], [22].…”

Section: Introductionmentioning

confidence: 98%

“…• Throughput and channel utilization is not considered [13][14][15][16], [18], [22]. • Impact of communication bandwidth on communication delay has not been reported in [14], [16], [18], [22].…”

Section: Introductionmentioning

confidence: 99%

“…However, the above studies have following short comings: • The authors of [13][14][15][16][17][18], [22] do not present the general framework for analysis of the complete behavior of communication infrastructure for LFC • System states and impact of CT changes for LFC problem in smart grid have not been considered in [13][14][15][16], [18]. • Transmission delay, propagation delay, queuing delay and routing delay which adds latency into network has not been considered in [13][14][15][16], [18], [22]. • Throughput and channel utilization is not considered [13][14][15][16], [18], [22].…”

Section: Introductionmentioning

confidence: 99%

“…Enhancement in the performance, especially in data transmission, utilization of channel bandwidth; Cognitive radio (CR) networking technology with other networking technology has been employed in networking and communication infrastructure in smart grid application [13]. The impact of communication delay on LFC problem in two area power system is reported in [14]. Authors [15] have proposed a delay dependent stability in deregulated…”

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confidence: 99%

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Load Frequency Control with Communication Topology Changes in Smart Grid

Singh

Kishor

Samuel

2016

IEEE Trans. Ind. Inf.

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In this paper, the quality of service (QoS) of communication infrastructure implemented in multi-area power system for load frequency control (LFC) application is assessed in smart grid environment. In study, network induced effects; time delay, packet loss, bandwidth, quantization and change in communication topology (CT) has been addressed to examine the system performance in closed loop. Uncertainty in time delay is approximated as deterministic and stochastic model. The network is modeled considering different network configurations, i.e. change in CT. The modeled communication network guarantees control relevant properties, i.e. stability.The decentralized controller and linear matrix inequality based linear quadratic regulator (LMI-LQR) is implemented to reduce the dynamic performance (mean square error of states variables) of power system as CT changes. Simulation results suggest that proposed scheme of networked control is superior with respect to other design method available in literature and thus robust to communication imperfections. Index Terms-Bandwidth, Communication topology, LFC, LMI-LQR, Smart Gridfuture smart grid, it is expected that PMU is installed extensively across the power grid. Smart grid (SG) incorporates a two way digital communication technology which integrates the communication technology and intelligent computer processing technology into a large scale power system for quick monitoring, control, self-healing, selforganizing and robustness for physical system, so that consumer may be benefitted [6][7]. SGs require reliable communication systems. It is well known that due to high speed open communication infrastructure, i.e. wireless networks, are unreliable because of time delay, packet loss and the communication failure. Further a comprehensive review on SG potential application and communication requirement is presented in [8].Communication technologies and their impact on power system operation need a closer study to implement the control strategy. The power systems rely on control algorithms having information exchanged via communication networks. Any network effects jeopardize failure rate of control itself. Recently, researchers have reported coupling of power system and communication networks as discrete-event triggering systems for LFC for multi area power system with communication delays [9].In real-time monitoring of smart grid operation, it is essential to exploit the high speed of throughput. The need of real-time information and strict latency requirements for bulk amounts of data has been proposed in [10]. The strict latency of most of the application of smart grid lies between 100 ms to 5 sec [11]. Further the detail description of latency requirements for power system operation is given in [1]. The time duration of transient stability is less than 100 ms, small signal stability is less than 1 sec, voltage stability between 1-5 sec and grid disturbances in range of few minutes. The communication delay on a network includes the transmission delay, propagation delay, q...

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Load Frequency Control with Communication Topology Changes in Smart Grid

Singh

Kishor

Samuel

2016

IEEE Trans. Ind. Inf.

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“…Wen et al (2015) reported event triggered LFC for power systems with communication delays via an event triggered control method. LFC for two area thermal power systems based on estimated time delays and packet loss probability using the markovian approach is proposed in Singh et al (2016). A novel sliding mode estimation-based controller to predict time delays and state estimation and to reject the disturbance of estimation error is reported in Yan et al (2017).…”

Section: Introductionmentioning

confidence: 99%

Prediction-based super twisting sliding mode load frequency control for multi-area interconnected power systems with state and input time delays using disturbance observer

Dev

Léchappé

Sarkar

2019

International Journal of Control

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A shift in paradigm from dedicated to open communication channels in power systems have made them prone to constant and time varying delays. This paper tackles a novel load frequency control (LFC) problem in the presence of constant and time varying delays in state and control input under load disturbances. The presence of time delays can deteriorate the performance of the controller or even destabilize the system. The above problem is addressed through a prediction-based super twisting sliding mode control (ST-SMC) using a state and disturbance observer. The proposed design achieves finite time convergence of frequency and tie line power deviation. The said design is validated under ramp and random step disturbance, with nonlinearities like generation rate constraints and governor deadband, with an integration of renewable energy and also with IEEE 39 bus power system. The closed loop stability is proven thanks to candidate Lyapunov function and verified by simulations.

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H _∞ distributed frequency control with unknown communication delays and parametric uncertainties

Zhang

Liu

Sun

et al. 2021

Int Trans Electr Energ Syst

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Summary This paper studies the distributed load frequency control problems for the multi‐area interconnected power system in smart grid. Compared with current results, we develop a new model transformation for traditional interconnected systems with unknown communication time delays and uncertainties. The load frequency control problem becomes the state synchronization problem of multi‐agent system (MAS) consisting of linear double‐integrator system with uncertainties and delays. Then, the H∞ distributed controller is designed based on the new MAS model, which weakens the impact of communication delays, parametric uncertainties, and load disturbance. Meanwhile, the proposed distributed controller only needs its neighbors' information and some rough information about the communication network to achieve the frequency's synchronization. In addition, the power flow in the power system can achieve the power scheduling and peak regulation with the changes of each area's load, which can cause unacceptable frequency deviation. The switching topologies are used to express this new power flow distribution. The corresponding distributed controllers are designed to achieve the frequency's synchronization. Finally, simulation result shows the effectiveness of the proposed methods.

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Communication time delay estimation for load frequency control in two-area power system

Cited by 45 publications

References 35 publications

Load Frequency Control with Communication Topology Changes in Smart Grid

Load Frequency Control with Communication Topology Changes in Smart Grid

Prediction-based super twisting sliding mode load frequency control for multi-area interconnected power systems with state and input time delays using disturbance observer

H _∞ distributed frequency control with unknown communication delays and parametric uncertainties

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Communication time delay estimation for load frequency control in two-area power system

Cited by 45 publications

References 35 publications

Load Frequency Control with Communication Topology Changes in Smart Grid

Load Frequency Control with Communication Topology Changes in Smart Grid

Prediction-based super twisting sliding mode load frequency control for multi-area interconnected power systems with state and input time delays using disturbance observer

H ∞ distributed frequency control with unknown communication delays and parametric uncertainties

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H _∞ distributed frequency control with unknown communication delays and parametric uncertainties