Emergency alleviation of thermal overloads using model predictive control

Otomega, Bogdan; Marinakis, Adamantios; Glavić, Mevludin; Cutsem, Thierry Van

doi:10.1109/pct.2007.4538317

Cited by 28 publications

(17 citation statements)

References 8 publications

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“…More recently MPC was proposed for emergency alleviation of thermal overloads [11]- [13], voltage control [14]- [16], transient stability and oscillations control [4], [17], [18], automatic generation control [19], [20]. In [12], agents are placed at each generator and load to control injections, and they use detailed models of their surrounding area and simplified models of remote ones; they share their objectives and exchange solutions and measurements.…”

Section: Introductionmentioning

confidence: 99%

Distributed MPC of wide-area electromechanical oscillations of large-scale power systems

Wang

Glavić

Wehenkel

2011

2011 16th International Conference on Intelligent System Applications to Power Systems

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Abstract-We investigate distributed Model Predictive Control (MPC) to damp wide-area electromechanical oscillations. Our distributed MPC schemes are derived from and compared with a fully centralized MPC scheme proposed in a previous publication. Based on simulations carried out using a 16-generator, 70-bus, two-area test power system, we show that simple coordination schemes based on additional local measurements' feedback yield already a significant improvement with respect to a scheme with only implicit coordination, improve significantly with respect to purely local controls, and in this respect reach about 75% of the improvements obtained by an ideal centralized MPC scheme.

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Section: Introductionmentioning

confidence: 99%

Distributed MPC of wide-area electromechanical oscillations of large-scale power systems

Wang

Glavić

Wehenkel

2011

2011 16th International Conference on Intelligent System Applications to Power Systems

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“…Little research effort has been devoted so far to the determination of an optimal sequence of control actions [12], [13]. In [12] a recursive algorithm is used to compute the sequence of reactive power controls to ensure voltage security.…”

Section: B Related Workmentioning

confidence: 99%

“…In [12] a recursive algorithm is used to compute the sequence of reactive power controls to ensure voltage security. In [13] a model predictive control approach, using a dc power flow model, is used to compute the sequence of active power controls to alleviate thermal overloads in emergency state.…”

Section: B Related Workmentioning

confidence: 99%

Redispatching Active and Reactive Powers Using a Limited Number of Control Actions

Capitanescu

Wehenkel

2011

IEEE Trans. Power Syst.

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Abstract-This paper deals with some essential open questions in the field of optimal power flow (OPF) computations, namely: the limitation of the number of controls allowed to move, the trade-off between the objective function and the number of controls allowed to move, the computation of the minimum number of control actions needed to satisfy constraints, and the determination of the sequence of control actions to be taken by the system operator in order to achieve its operation goal. To address these questions, we propose approaches which rely on the computation of sensitivities of the objective function and inequality constraints with respect to control actions. We thus determine a subset of controls allowed to move in the OPF, by solving a sensitivity-based mixed integer linear programming (MILP) problem. We study the performances of these approaches on three test systems (of 60, 118, and 618 buses) and by considering three different OPF problems important for a system operator in emergency and/or in normal states, namely the removal of thermal congestions, the removal of bus voltage limits violation, and the reduction of the active power losses.Index Terms-mixed integer linear programming, nonlinear programming, optimal power flow

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“…through building climate control (Halvgaard et al, 2012), or control of power flows in high voltage direct current (HVDC) lines (McNamara et al, 2013). In Otomega et al (2007); Carneiro and Ferrarini (2010) MPC is used as a special protection scheme to prevent severe line-overloads.…”

Section: Introductionmentioning

confidence: 99%

Model predictive load–frequency control taking into account imbalance uncertainty

Ersdal

Imsland

Uhlen

et al. 2016

Control Engineering Practice

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Nonlinear model predictive control (NMPC) is investigated for load frequency control (LFC) of an interconnected power system which is exposed to increasing wind power penetration. The robustified NMPC (RNMPC) proposed here uses knowledge of the estimated worst-case deviation in wind-power production to make the NMPC more robust. The NMPC is based on a simplified system model that is updated using state-and parameter estimation by Kalman filters, and takes into account limitations on among others tie-line power flow. Tests on a proxy of the Nordic power system, shows that the RNMPC is able to fulfill system constraints under worst-case deviations in wind-power production in cases where the nominal NMPC is not. Keywords

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Emergency alleviation of thermal overloads using model predictive control

Cited by 28 publications

References 8 publications

Distributed MPC of wide-area electromechanical oscillations of large-scale power systems

Distributed MPC of wide-area electromechanical oscillations of large-scale power systems

Redispatching Active and Reactive Powers Using a Limited Number of Control Actions

Model predictive load–frequency control taking into account imbalance uncertainty

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