Nonlinear robust control of power system considering wide‐area signals' delay and incompleteness

Yu, G.; Zhang, B.; Bo, Z.Q.; Xie, Hailian; Wang, C.

doi:10.1002/etep.231

Cited by 6 publications

(3 citation statements)

References 26 publications

(29 reference statements)

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“…The authors in Reference [5] present the application of Hilbert analysis to determine the nature and propagation of disturbances based on PMU data. A nonlinear robust controller that uses PMU data and accounts for the delay introduced by remote signals as well as the incomplete information that results when not all generators are equipped with PMUs is described in Reference [6]. A framework based on a sensor web and the Common Information Model (CIM) is discussed in Reference [7]; it incorporates PMU data and considers interoperability and wide-area monitoring.…”

Section: Introductionmentioning

confidence: 99%

Wide‐area monitoring and control using the real time digital simulator and a synchrophasor vector processor

Srivastava

Ravikumar²,

Zweigle³

2010

Int Trans Elec Energy Syst

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SUMMARYSeveral major blackouts in the past have shown the need for advanced wide-area monitoring and control (WAMC) techniques. Advanced synchrophasor visualization and monitoring can be realized with timereferenced power system data that are collected by phasor measurement units (PMUs) using synchronized clocks. Presently, PMUs are being deployed around the world at a rapid rate for various power system applications. When a necessary number of PMUs are installed at optimal locations throughout the network, the complete state of the system can be observed. PMUs take real-time measurements to determine the state of the power system and can be used to enhance state estimation efficiency. With PMUs in place, there are many control and protection schemes that can be implemented successfully to take preventive and corrective actions. These remedial action schemes (RASs) are classified by the IEEE Power System Relaying Committee (PSRC) as system integrity protection schemes (SIPSs). This work involved the development of a real-time hardware test bed in order to analyze the transient stability of a simulated power system by using synchrophasors to visualize system stress across a transmission line with and without load-shedding schemes. The real time digital simulator (RTDS 1 ) was used to model the power system in real time. PMUs, a satellite-synchronized clock, and a synchrophasor vector processor (SVP) were used to test the synchrophasor application.

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Section: Introductionmentioning

confidence: 99%

Wide‐area monitoring and control using the real time digital simulator and a synchrophasor vector processor

Srivastava

Ravikumar²,

Zweigle³

2010

Int Trans Elec Energy Syst

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“…To address demand response programs as another reserve resource to mitigate wind power output uncertainty, Zhao et al used the optimization approach to derive an optimal unit commitment decision for the reliability unit commitment. Besides, Yu et al put forwards a novel nonlinear robust controller. Chen et al presented a robust long‐term transmission expansion planning problem using the maximum cost and maximum regret of the expansion plan over all uncertainties.…”

Section: Introductionmentioning

confidence: 99%

A robust mean variance optimization model for economic dispatch with wind power integration and evenly distributed Pareto front generation

Ding

Kou

Ma³

et al. 2017

Int. Trans. Electr. Energ. Syst.

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A robust mean variance optimization model is set up for an economic dispatch problem integrating uncertain wind power in a real-time electricity market. The objective of the model is to find a robust optimal solution so as to minimize both the expected total generation cost and hedge the risk resulting from the robustness. Furthermore, the proposed model is transformed into a biobjective second-order cone programming. To generate an evenly distributed Pareto front set that will not overrepresent one region of the design space or neglect others, we propose a normalized-constraint method in this work. The Pareto front, demonstrated in the Institute of Electrical and Electronics Engineers 118-bus case study, shows a trade-off between total generation cost and risk. An important observation during the case study is that the Pareto front of the robust mean variance model has a special shape that, by sacrificing only a little total generation cost, can greatly reduce the risk in the robust real-time economic dispatch.

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“…The use of delay‐dependent state‐feedback robust control for wide‐area controller associated with flexible alternating current transmission system device on 2‐area 4‐machine and the 5‐area 16‐machine test systems is suggested in . Further, feedback linearization and linear matrix inequality technique have been also proposed .…”

Section: Introductionmentioning

confidence: 99%

Stability analysis and stabilization of delayed reduced-order model of large electric power system

Kishor

Haarla

Purwar

2016

Int. Trans. Electr. Energ. Syst.

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SUMMARYThis paper discusses stability analysis using spectral discretization of time-delayed electric power system. The stability assessment is discussed in terms of influence of time delays on inter-area oscillation modes of the power system models: well-known 4-generator and 14-generator Southeast Australian power system. The three dominant inter-area modes available in full-order power system are retained in its equivalent representation, i.e., reduced-order model, obtained with the input-output variables of the generator that participates actively to low-frequency oscillation modes. The pseudospectrum analysis suggests the most dominant modes to be sensitive against time delay. The rightmost characteristic roots and the robust spectral abscissa are computed over a wide range of time delays in the input-output variables. The approach applied in study computes all the characteristic roots in the right half s-plane with the number of discretization points selected in such a way that rational approximation of the exponential functions remains accurate in this region. The effect of time delays on the computation of spectral abscissa is also investigated. Further, reduced-order time-delayed model is also used to design the wide-area controller by optimizing (minimizing) the robust spectral abscissa.

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Nonlinear robust control of power system considering wide‐area signals' delay and incompleteness

Cited by 6 publications

References 26 publications

Wide‐area monitoring and control using the real time digital simulator and a synchrophasor vector processor

Wide‐area monitoring and control using the real time digital simulator and a synchrophasor vector processor

A robust mean variance optimization model for economic dispatch with wind power integration and evenly distributed Pareto front generation

Stability analysis and stabilization of delayed reduced-order model of large electric power system

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