Unlocking distribution network capacity through real-time thermal rating for high penetration of DGs

Degefa, Merkebu Zenebe; Humayun, Muhammad; Safdarian, Amir; Koivisto, Matti; Millar, Robert John; Lehtonen, Matti

doi:10.1016/j.epsr.2014.07.032

Cited by 48 publications

(28 citation statements)

References 13 publications

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“…Although the forecasts of the day ahead load and weather variables are used to compute the optimal CVC set-points for day ahead network operation, the forecasting method is not elaborated in this study. The day ahead dynamic thermal ratings and weather and load forecasting methods employed in this study are presented in publications [16,17].…”

Section: Test Case: An Active Distribution Network With Dg Units Andmentioning

confidence: 99%

“…Hence, the iteration between the OPF with CVC and the DTR is established. In the optimization problem defined by (6)- (16), the control variables are the reactive power of the DG units (Q DG i ), the reactive power of the SVCs (Q C i ) Due to the nonlinearity of power systems, linear programing loses accuracy due to linear assumptions [19]. Hence, the OPF is solved using the nonlinear IPOPT solver of the General Algebraic Modeling System (GAMS), while the DTR has been implemented in MATLAB [20].…”

Section: Inequality Constraintmentioning

confidence: 99%

“…C57.91 loading guidelines for overhead conductors and oil-immersed transformers are used in the RTTR system. The underground cable thermal model developed by the authors and the implementation procedures of the RTTR system are detailed in [16,17].…”

Section: Real-time Thermal Ratingmentioning

confidence: 99%

See 2 more Smart Citations

Optimal voltage control strategies for day-ahead active distribution network operation

Degefa

Lehtonen

Millar

et al. 2015

Electric Power Systems Research

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Section: Test Case: An Active Distribution Network With Dg Units Andmentioning

confidence: 99%

Section: Inequality Constraintmentioning

confidence: 99%

See 1 more Smart Citation

Optimal voltage control strategies for day-ahead active distribution network operation

Degefa

Lehtonen

Millar

et al. 2015

Electric Power Systems Research

Self Cite

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“…Dynamic line rating statistics obtained during a one year study in New York State was presented in [9]. In [10], a management framework based on real-time thermal rating (RTTR) for active distribution networks has been presented. The proposed method can provide hour-by-hour network capacity limits for system operators.…”

Section: Introductionmentioning

confidence: 99%

On-line assessment of transmission line thermal rating using PMU data

Mousavi-Seyedi

Aminifar

Azimi

et al. 2014

2014 Smart Grid Conference (SGC)

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In nowadays power networks, transmission companies are faced with a drastic growth in the electrical energy demand. As a result, further utilization of existing transmission lines capacity is very essential. Dynamic thermal rating (DTR), which is based on the actual weather and pre-load conditions, has a potential to offer a significant increase in a given transmission line capacity. Two types of DTR calculation methods, namely on-line monitoring of line temperature and weather-based rating, are discussed in this paper. The first method is the main contribution of this work and the second one is only reviewed. In the first method, phasor measurement units (PMUs) data are used for estimation of transmission line parameters and its temperature. In this method, a non-linear weighted least-square (NWLS) based algorithm is adopted for the estimation process. The second method uses weather stations data such as wind speed, ambient air temperature, etc., for calculation of DTR. A typical transmission line is simulated in MATLAB Power System Toolbox to demonstrate the performance of the proposed method for on-line monitoring of line temperature.I.

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“…The impacts of DG and more specifically PV on the aging of transformers have also been investigated in the literature [76][77][78][79][80][81][82][83][84][85][86]. The incorporation of rooftop PVs in residential networks at moderate penetration levels is starting to be a reality in many countries.…”

Section: Distributed Generationmentioning

confidence: 99%

Effect of Loads and Other Key Factors on Oil-Transformer Ageing: Sustainability Benefits and Challenges

et al. 2015

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Transformers are one of the more expensive pieces of equipment found in a distribution network. The transformer's role has not changed over the last decades. With simple construction and at the same time mechanically robust, they offer long term service that on average can reach half a century. Today, with the ongoing trend to supply a growing number of non-linear loads along with the notion of distributed generation (DG), a new challenge has arisen in terms of transformer sustainability, with one of the possible consequences being accelerated ageing. In this paper we carefully review the existing studies in the literature of the effect of loads and other key factors on oil-transformer ageing. The state-of-the-art is reviewed, each factor is analysed in detail, and in the end a smart transformer protection method is sought in order to monitor and protect it from upcoming challenges.

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Unlocking distribution network capacity through real-time thermal rating for high penetration of DGs

Cited by 48 publications

References 13 publications

Optimal voltage control strategies for day-ahead active distribution network operation

Optimal voltage control strategies for day-ahead active distribution network operation

On-line assessment of transmission line thermal rating using PMU data

Effect of Loads and Other Key Factors on Oil-Transformer Ageing: Sustainability Benefits and Challenges

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