Distributed Hierarchical Control Architecture for Transient Dynamics Improvement in Power Systems

Marinovici, Laurentiu; Lian, Jianming; Kalsi, Karanjit; Du, Pengwei; Elizondo, Marcelo

doi:10.1109/tpwrs.2012.2236655

Cited by 35 publications

(15 citation statements)

References 21 publications

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“…In this paper, the decentralized robust control strategy developed in [26] is adopted herein to improve the damping ratios of the inter-area oscillation modes. In [26], a distributed hierarchical control architecture was proposed for large-scale power systems to improve the transient stability and frequency restoration. However, the capability of this control strategy in enhancing the small signal stability of multiarea power systems has not been analyzed yet.…”

Section: Introductionmentioning

confidence: 99%

Universal Wide-area Damping Control for Mitigating Inter-area Oscillations in Power Systems

Lian

Wang

Elizondo

et al. 2017

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As power systems become more and more interconnected, the inter-area oscillations has become a serious factor limiting large power transfer among different areas. Underdamped (Undamped) inter-area oscillations may cause system breakup and even lead to large-scale blackout. Traditional damping controllers include Power System Stabilizer (PSS) and Flexible AC Transmission System (FACTS) controller, which adds additional damping to the inter-area oscillation modes by affecting the real power in an indirect manner. However, the effectiveness of these controllers is restricted to the neighborhood of a prescribed set of operating conditions. In this paper, decentralized robust controllers are developed to improve the damping ratios of the inter-area oscillation modes by directly affecting the real power through the turbine governing system. The proposed control strategy requires only local signals and is robust to the variations in operation condition and system topology. The effectiveness of the proposed robust controllers is illustrated by detailed case studies on two different test systems.

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Section: Introductionmentioning

confidence: 99%

Universal Wide-area Damping Control for Mitigating Inter-area Oscillations in Power Systems

Lian

Wang

Elizondo

et al. 2017

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“…These works suggest remedial control actions but do not design controllers. Governor-based robust decentralized controller designs using LMIs have been initially pursued for transient-stability in [7], later extended to primary frequency control in [8], and recently developed for wide-area control (WAC) in [9]. In addition to decentralization, the major strengths of these works is that they avoid linearization around operating points.…”

mentioning

confidence: 99%

“…In addition to decentralization, the major strengths of these works is that they avoid linearization around operating points. However, to derive controllers, networks with only generators (by considering model reduction) are considered and bounds on system nonlinearities are assumedbounds that tend to be conservative [8].…”

mentioning

confidence: 99%

Robust Control for Renewable-Integrated Power Networks Considering Input Bound Constraints and Worst Case Uncertainty Measure

Taha

Bazrafshan

Nugroho

et al. 2019

IEEE Trans. Control Netw. Syst.

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Uncertainty from renewable energy and loads is one of the major challenges for stable grid operation. Various approaches have been explored to remedy these uncertainties. In this paper, we design centralized or decentralized statefeedback controllers for generators while considering worst-case uncertainty. Specifically, this paper introduces the notion of L∞ robust control and stability for uncertain power networks. Uncertain and nonlinear differential algebraic equation model of the network is presented. The model includes unknown disturbances from renewables and loads. Given an operating point, the linearized state-space presentation is given. Then, the notion of L∞ robust control and stability is discussed, resulting in a nonconvex optimization routine that yields a state feedback gain mitigating the impact of disturbances. The developed routine includes explicit input-bound constraints on generators' inputs and a measure of the worst-case disturbance. The feedback control architecture can be centralized, distributed, or decentralized. Algorithms based on successive convex approximations are then given to address the nonconvexity. Case studies are presented showcasing the performance of the L∞ controllers in comparison with automatic generation control and H∞ control methods.

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“…In [4] it is suggested how wind generators can participate in LFC, while others concentrate on effective energy storage [5], or how network loads can be included in LFC [6]. There has also been suggestions to new methods for executing LFC, such as including primary control in local decentralized generators [7], or improving LFC by applying fuzzy logic [8], sliding mode control [9], internal model control [10], and various PID tuning methods [11].…”

mentioning

confidence: 99%

Model Predictive Load-Frequency Control

Ersdal

Imsland

Uhlen

2016

IEEE Trans. Power Syst.

242

122

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A model predictive controller (MPC) for load frequency control (LFC) of an interconnected power system is investigated. The MPC is based on a simplified system model of the Nordic power system, and it takes into account limitations on tie-line power flow, generation capacity, and generation rate of change. The participation factors for each generator are optimization variables, and suggestions are made as to how one can ensure tie-line power transfer margins through slack-variables, and pricing information through the objective function. The solution of MPC for LFC is completed by including a Kalman filter for state estimation. The presented MPC is compared against a conventional LFC/AGC scheme with proportional integral (PI) controllers. Simulations show that the MPC gives better frequency response while using cheaper resources. This paper illustrates that MPC could be a realistic solution to some of the LFC problems power systems are facing today.Index Terms-Load frequency control, model predictive control.

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Distributed Hierarchical Control Architecture for Transient Dynamics Improvement in Power Systems

Cited by 35 publications

References 21 publications

Universal Wide-area Damping Control for Mitigating Inter-area Oscillations in Power Systems

Universal Wide-area Damping Control for Mitigating Inter-area Oscillations in Power Systems

Robust Control for Renewable-Integrated Power Networks Considering Input Bound Constraints and Worst Case Uncertainty Measure

Model Predictive Load-Frequency Control

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