Optimal Load-Side Control for Frequency Regulation in Smart Grids

Mallada, Enrique; Zhao, Changhong; Low, Steven H.

doi:10.1109/tac.2017.2713529

Cited by 207 publications

(249 citation statements)

References 37 publications

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“…The developed technique is probabilistic that is able to determine the optimal operation at each load state. A load side frequency control mechanism is developed in [53] which is able to keep the grid within operational limits. The proposed technique re-adjust the supply and demand after disturbances and also restore the frequency to its desired value.…”

Section: Recent Advances Of the Signal Processing Techniques In Smartmentioning

confidence: 99%

Recent advances of the signal processing techniques in future smart grids

Uddin

Ahmad

Qamar

et al. 2018

Hum. Cent. Comput. Inf. Sci.

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IntroductionSmart grid is a network of electric supply that manages power demand in reliable and economic manner by detecting and reacting to local changes in usage. The infrastructure comprises of smart meters, appliances, and resources with a combination of modern technologies like, control, power, instrumentation, and communication. In such a complex scenario, signal processing techniques are essential to understand, plan, design and operate the complex future smart electronic grids [1]. In addition to this, signal processing has wide variety of applications and is becoming an important tool for electric power system analysis. This is due to the fact that measurements retrieved from numerous locations of the grid can be used for data analysis. These measurements can also be used for a variety of issues such as voltage control, power quality and reliability, power system and equipment diagnostics, power system control and protection, etc [2][3][4][5][6].Power quality is one of the main issue of the smart grid research where voltage, current and frequency deviations in the power system are the main concerns of the system operator [7]. The characterization of the incompatibilities caused by these deviations requires an understanding of their principal cause. Other possible aspects that need inspection are the efficient representation of the voltage and current variations in various electrical Abstract Smart grid is an emerging research field of the current decade. The distinguished features of the smart grid are monitoring capability with data integration, advanced analysis to support system control, enhanced power security and effective communication to meet the power demand. Efficient energy consumption and minimum costs are also included in the prodigious features of smart grid. The smart grid implementation requires intelligent interaction between the power generating and consuming devices that can be achieved by installing devices capable of processing data and communicating it to various parts of the grid. The efficiency of these devices is greatly dependent on the selection and implementation of the advance digital signal processing techniques. This paper provides a comprehensive survey on the applications of signal processing techniques in smart grids, plus the challenges and shortcomings of these techniques. Furthermore, this paper also outlines some future research directions related to applications of signal processing in smart grids. Uddin et al. Hum. Cent. Comput. Inf. Sci. (2018) Page 2 of 15 Uddin et al. Hum. Cent. Comput. Inf. Sci. (2018) 8:2 equipment. Moreover, the signal processing of the power patterns leads to better understanding the behavior of these equipment. Continuous monitoring is also required to capture various events and variations. To meet future demands, methods and techniques must be developed to explore the full range of signals derived from the complex interaction between suppliers, consumers and network operators [8]. REVIEWA smart grid performs measurement, monitoring ...

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Section: Recent Advances Of the Signal Processing Techniques In Smartmentioning

confidence: 99%

Recent advances of the signal processing techniques in future smart grids

Uddin

Ahmad

Qamar

et al. 2018

Hum. Cent. Comput. Inf. Sci.

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“…The frequency regulation controller proposed in this paper is built on the distributed controller in [13], [14] and controls generation based on information about generators' costs in a way such that the power system converges to an operating point that minimizes system costs. On the other hand, AGC allocates generation based on participation factors, which might not reflect actual costs, and hence the resulting allocation might not be efficient.…”

Section: A Contributions Of This Papermentioning

confidence: 99%

“…Our solution is based on a novel reverse and forward engineering approach for distributed control design in power systems [14], [15], [26]- [29]. The algorithm operates as follows.…”

Section: B Distributed Frequency Regulationmentioning

confidence: 99%

Distributed Optimization Decomposition for Joint Economic Dispatch and Frequency Regulation

Cai

Mallada

Wierman

2017

IEEE Trans. Power Syst.

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Economic dispatch and frequency regulation are typically viewed as fundamentally different problems in power systems and, hence, are typically studied separately. In this paper, we frame and study a joint problem that cooptimizes both slow timescale economic dispatch resources and fast timescale frequency regulation resources. We show how the joint problem can be decomposed without loss of optimality into slow and fast timescale sub-problems that have appealing interpretations as the economic dispatch and frequency regulation problems respectively. We solve the fast timescale sub-problem using a distributed frequency control algorithm that preserves the stability of the network during transients. We solve the slow timescale sub-problem using an efficient market mechanism that coordinates with the fast timescale sub-problem. We investigate the performance of the decomposition on the IEEE 24-bus reliability test system.

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“…The results are extended in [7] and [8], where the authors design a primal-dual algorithm to model all three stages of a traditional frequency control in the power grid.…”

Section: Introductionmentioning

confidence: 99%

Distributed frequency control in power grids under limited communication

Parandehgheibi

Turitsyn

Modiano

2016

2016 IEEE 55th Conference on Decision and Control (CDC)

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Abstract-In this paper, we analyze the impact of communication failures on the performance of optimal distributed frequency control. We consider a consensus-based control scheme, and show that it does not converge to the optimal solution when the communication network is disconnected. We propose a new control scheme that uses the dynamics of power grid to replicate the information not received from the communication network, and prove that it achieves the optimal solution under any single communication link failure. In addition, we show that this control improves cost under multiple communication link failures.Next, we analyze the impact of discrete-time communication on the performance of distributed frequency control. In particular, we will show that the convergence time increases as the time interval between two messages increases. We propose a new algorithm that uses the dynamics of the power grid, and show through simulation that it improves the convergence time of the control scheme significantly.

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Optimal Load-Side Control for Frequency Regulation in Smart Grids

Cited by 207 publications

References 37 publications

Recent advances of the signal processing techniques in future smart grids

Recent advances of the signal processing techniques in future smart grids

Distributed Optimization Decomposition for Joint Economic Dispatch and Frequency Regulation

Distributed frequency control in power grids under limited communication

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