Optimal scheduling with dynamic line ratings and intermittent wind power

Banerjee, Binayak; Jayaweera, Dilan; Islam, Syed

doi:10.1109/pesgm.2014.6939381

Cited by 15 publications

(17 citation statements)

References 11 publications

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“…For a stochastic optimization problem taking into account DLR forecasts, different terms could be considered in the objective function. One important question concerns the introduction and use of penalties regarding situations in which the current is slightly higher than the thermal limits of the lines, as in [20], [21], [23]. Such cost definitions require knowledge of potential incidents on the grid, their associated probability, and recourse actions when these costs are too high.…”

Section: A Risk Neutral Strategy -Vertically Integrated Monopolymentioning

confidence: 99%

Optimal Dynamic Line Rating Forecasts Selection Based on Ampacity Probabilistic Forecasting and Network Operators’ Risk Aversion

Dupin

Michiorri

2019

IEEE Trans. Power Syst.

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Real-time current-carrying capacity of overhead conductors is extremely variable due to its dependence on weather conditions, resulting in the use of traditionally conservative static ratings. This paper proposes a methodology for exploiting the latent current-carrying capacity of overhead transmission lines taking into account line ampacity forecasts, power flow simulations and the network operator's risk aversion. The procedure can be described as follows: Firstly, probabilistic forecasts for the current rating of transmission lines are generated, paying particular attention to the reliability of the lower part of the distribution. Secondly, a cost benefit analysis is carried out by solving a bilevel stochastic problem that takes into account the reduction in generation costs resulting from a higher power transfer capacity and the increased use of reserves caused by forecast errors. The risk appetite of the network operator is considered in order to accept or penalize high-risk situations, depending on whether the network operator can be described as risk neutral or risk averse.

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Section: A Risk Neutral Strategy -Vertically Integrated Monopolymentioning

confidence: 99%

Optimal Dynamic Line Rating Forecasts Selection Based on Ampacity Probabilistic Forecasting and Network Operators’ Risk Aversion

Dupin

Michiorri

2019

IEEE Trans. Power Syst.

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“…Thus, using the resistive part of impedance the average conductor temperature along the OHL can be calculated, provided that the relationship between resistance and temperature is known. When a π line model is used, the impedance (Z = R (T S ) + jX L ) and admittance (Y = jY C ) are related to voltages and currents by means of ( 7) and (8).…”

Section: Synchrophasor Measurementsmentioning

confidence: 99%

“…Re (h v (z, x)) (A.1), Im (h v (z, x)) (A.2), Re (h i (z, x)) (A.3), Im (h i (z, x)) (A.4) are the measurement functions that related the state variables RLC with PMU measurements. These relationships are obtained from (7) and (8).…”

Section: Appendixa Measurement Functions -H(zx)mentioning

confidence: 99%

“…Indeed, given DLR advantages, applications for control, planning and operation of power systems are available in order to optimize these systems [6]. Examples of such applications are: inclusion of OHL temperature as a constraint to compute optimal power flows [7] or incorporating DLR into the scheduling [8,9]. These applications can be added to the nowadays energy management systems [10].…”

Section: Introductionmentioning

confidence: 99%

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An approach to dynamic line rating state estimation at thermal steady state using direct and indirect measurements

Álvarez

Silva²,

Mombello

et al. 2018

Electric Power Systems Research

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Dynamic line rating has emerged as a solution for reducing congestion in overhead lines, allowing the optimization of power systems assets. This technique is based on direct and/or indirect monitoring of conductor temperature. Different devices and methods have been developed to sense conductor temperature in critical spans. In this work, an algorithm based on WLS is proposed to estimate temperature in all ruling spans of an overhead line. This algorithm uses indirect measurements -i.e. weather reports and/or downscaling nowcasting models as inputs as well as direct measurements of mechanical tension, sag and/or conductor temperature. The algorithm has been tested using typical atmospheric conditions in Iceland along with an overhead line's real design, showing robustness, efficiency and the ability to minimize error in measurements.

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“…The main challenge is that DHBE adds a set of time-coupled nonlinear equality constraints to the optimization model. The studies in[55] and[56] do not involve DHBE directly; instead, they model overloading risk as a deterministic function of the level of circuit current exceeding previous thermal rating and include it as a penalty function in the objective function, and they relax the reserves rating without significant increasing computation complexity. In reference[57], DHBE is simplified by assuming that the terms unrelated to transmission line loss are constant with temperature change.…”

mentioning

confidence: 99%

Constraint relaxation and cascading contingency monitoring: A risk-based approach

Guo¹

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Optimal scheduling with dynamic line ratings and intermittent wind power

Cited by 15 publications

References 11 publications

Optimal Dynamic Line Rating Forecasts Selection Based on Ampacity Probabilistic Forecasting and Network Operators’ Risk Aversion

Optimal Dynamic Line Rating Forecasts Selection Based on Ampacity Probabilistic Forecasting and Network Operators’ Risk Aversion

An approach to dynamic line rating state estimation at thermal steady state using direct and indirect measurements

Constraint relaxation and cascading contingency monitoring: A risk-based approach

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