Demonstrating the capacity benefits of dynamic ratings in smarter distribution networks

Ochoa, Luis F.; Cradden, Lucy; Harrison, Gareth

doi:10.1109/isgt.2010.5434782

Cited by 17 publications

(19 citation statements)

References 14 publications

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“…For example, engineering recommendation (ER) P27 [14] proposes to calculate seasonal thermal ratings using assumed temperatures for different seasons and for a constant wind speed of 0.5 m/s and zero solar radiation [10]. The conventional relations between T f , μ f , ρ f , and k f can be found in Standard 738 [13] I SLR max ≈ (3)…”

Section: B Calculation Of Slrmentioning

confidence: 99%

“…The application of DLR will provide the true transfer capacity of the grid in real time, gain generation capacity in the network and improve the utilization of the existing system [5], [8]- [10]. This paper proposes a new general DLR calculation model based on standard capacity calculations, but simplified and accurate to be implemented in the daily operation.…”

Section: Introductionmentioning

confidence: 99%

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Impact From Dynamic Line Rating on Wind Power Integration

Wallnerström

Huang

Söder

2015

IEEE Trans. Smart Grid

102

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Abstract-The concept of dynamic rating (DR) implies that the capacity of a component varies dynamically as a function of external parameters, while the rating traditionally is based on the worst-case. The value of DR thus lies in utilizing existing equipment to a greater extent. By implementing DR and correlating the new ratings with wind power generation, more generation can be implemented. The aim is hence to facilitate connection of renewable electricity production. This paper provides two main contributions: 1) a general dynamic line rating (DLR) calculation model on overhead lines; and 2) an economic optimization simulation model regarding wind power integration comparing DLR with more traditional approaches. These models can both be implemented together, but also separately. The DLR calculation model is easy to use by companies in daily operation where the dynamic line capacity is calculated as a function of static line capacity, wind speed, and ambient temperature. The DLR calculation model is furthermore compared with more comprehensive calculations that validate that the model is accurate enough. This paper also provides an application study where both proposed models are exemplified together and evaluated. Results from this study conclude that it is a significant economic potential of implementing DR within wind power integration.

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Section: B Calculation Of Slrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact From Dynamic Line Rating on Wind Power Integration

Wallnerström

Huang

Söder

2015

IEEE Trans. Smart Grid

102

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“…Nonetheless, despite the potential benefits of ANM on the accommodation of larger volumes of DG capacity [2][3][4], DNOs have not yet widely adopted this 'connect and manage' approach mainly due to regulatory and commercial barriers. This is expected to change in the near future as governments promote innovation through funding and regulatory mechanisms (e.g., The Recovery Act in USA, and the Ofgem Low Carbon Network Fund in UK).…”

Section: Introductionmentioning

confidence: 99%

Angle constraint active management of distribution networks with wind power

Ochoa

Wilson²

2010

2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

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Abstract-Large volumes of wind generation capacity are expected to connect to distribution networks in the coming years. The traditional 'fit and forget' approach where all technical limitations are satisfied in any credible operational scenario has significantly reduced the ability of certain networks to integrate more generation capacity as the extra costs are not viable for most wind farm developers. In this context, it is envisaged that the true potential of distribution networks to accommodate large renewable generation capacities will only be realised by applying active network management schemes. Here, it is proposed the innovative use of synchrophasor technology to actively manage wind power generation output in congested distribution networks, resulting in the connection of more capacity and, hence, the delivery of more energy as opposed to the 'fit and forget' approach. This is achieved by applying an angle-based constraint that is determined according to the network characteristics (i.e., a proxy for thermal limits, voltage limits, etc.) and using minimal communication. Results from a radial test feeder considering two wind farms demonstrate the effectiveness of the technique in exporting more energy, although at expense of smaller capacity factors, whilst keeping the system secure.

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“…There is a substantial amount of unexploited headroom available which a dynamic (or real-time) rating system could provide access to. In Ochoa et al (2010) it was demonstrated that building dynamic rating into a 'smart grid' operating algorithm to allow the extra wind cooling available at times of high wind power generation to be fully recognised was potentially very effective. If the lines analysed in this work were to be particularly stressed by increasing wind (or solar) power connections, there is a small increase in the risk of the current exceeding the ER P27 nominal ratings under future climate change scenarios.…”

Section: Adaptationmentioning

confidence: 99%

Adapting overhead lines to climate change: Are dynamic ratings the answer?

Cradden

Harrison

2013

Energy Policy

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A model is created demonstrating the impacts of climate change on overhead line ratings. The model accounts for temperature, solar radiation and wind effects on line rating. The increased risk to network capacity due to climate change is low. Real-time dynamic ratings systems present a cost-effective mitigation strategy. a r t i c l e i n f o t r a c tThermal ratings of overhead lines (OHL) are determined by the current being carried and ambient climatic conditions. Higher temperatures as a result of climate change will give rise to lower ratings, and thus a reduction in current-carrying capacity across the electricity network. Coupled with demand growth and installation of renewable generation on weaker sections of the network, this could necessitate costly reinforcements and upgrades. Previous UK-based work applying a subset of data from the UK Climate Projections model (UKCP09) has indeed indicated likely reductions in the steady-state OHL ratings under worst-case temperature increases. In the present work, time series data from the full UKCP09 probabilistic climate change modelling framework, including an additional algorithm to incorporate hourly wind conditions, is applied to OHL ratings. Rather than focus purely on worst-case conditions, the potential for an increased risk of exceeding nominal ratings values on thermally constrained OHL is analysed. It is shown that whilst there is a small increase in risk under future climate change scenarios, the overall risk remains low. The model further demonstrates that widespread use of real-time dynamic rating systems are likely to represent the most cost-efficient adaptation method for lines which are frequently thermally constrained.

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Demonstrating the capacity benefits of dynamic ratings in smarter distribution networks

Cited by 17 publications

References 14 publications

Impact From Dynamic Line Rating on Wind Power Integration

Impact From Dynamic Line Rating on Wind Power Integration

Angle constraint active management of distribution networks with wind power

Adapting overhead lines to climate change: Are dynamic ratings the answer?

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