Redispatch index for assessing bidding zone delineation

Marinho, Nuno; Phulpin, Yannick; Folliot, Damien; Hennebel, Martin

doi:10.1049/iet-gtd.2016.1334

Cited by 8 publications

(21 citation statements)

References 16 publications

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“…Second, Marinho et al. show in [20] that zone delineations obtained with the Fuzzy C‐Means method are generally less efficient in terms of redispatching reduction than configurations obtained with K‐Means and Hierarchical clustering.…”

Section: Methodsmentioning

confidence: 99%

“…In particular, Marinho et al. [20] show that the Hierarchical, K‐Means and Fuzzy C‐Means approaches can be enhanced by using a redispatch effort index to identify zone configurations that are most efficient regarding congestion management.…”

Section: Literature Reviewmentioning

confidence: 99%

“…[16], Marinho et al. [20], Burstedde [21], or Breuer and Moser [22]. From a more recent perspective, contributions have been restraining their system operation assessment to the measurement of intrazonal and cross‐zonal LMP differentials, as in [11, 15, 19, 23–25].…”

Section: Literature Reviewmentioning

confidence: 99%

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A clustering approach to the definition of robust, operational and market efficient delineations for European bidding zones

Brouhard

Hennebel

Petit

et al. 2023

IET Generation Trans & Dist

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In this work, we address the automated design of alternative bidding zones for Continental Europe. We base our approach on the application of clustering methods to series of locational marginal prices. These methods are adapted by using a redispatch effort index and spatial constraints in the form of geographical distances and bus adjacency. An evaluation grid that reflects the multidimensional impacts of a bidding zone revision is also provided, addressing congestion management but also price formation and the general distribution of costs and revenues between main system actors. Based on a large-scale static grid model of the European power system, we design nine illustrative candidate zone delineations that are illustrative of current academic and institutional discussions on zone revision. A multi-horizon assessment is also provided in relation to representative 2025, 2030 and 2040 dispatch scenarios. It is shown that while the considered alternative zone configurations can bring significant gains regarding redispatching efforts in the short run, these benefits are not robust in 2030 and 2040 scenarios. Medium to long-term projections also show that an increase of the number of zones is likely to significantly affect price formation dynamics and lead to structural economic transfers that are to the disadvantage of consumers.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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A clustering approach to the definition of robust, operational and market efficient delineations for European bidding zones

Brouhard

Hennebel

Petit

et al. 2023

IET Generation Trans & Dist

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“…Following the observations in [15], where hierarchical clustering outperforms other clustering techniques for the aggregation of the European transmission network, hierarchical clustering was applied to aggregate the network buses in a determined number of zones. In this bottom-up algorithm, each network bus starts as an isolated zone, and at each step, the indicator A, as defined in Equation (1), is assessed and two electrically connected zones are aggregated until all the network buses belong to the same zone or the algorithm reaches the stopping criterion, which can either be a pre-determined number of zones or a threshold for the minimum distance between clusters.…”

Section: Clusteringmentioning

confidence: 99%

“…In [15], we suggested using the sum of the squared euclidean distances to determine the distance between pairs of observations for each scenario s ∈ S as:…”

Section: Clusteringmentioning

confidence: 99%

Modeling Phase Shifters in Power System Simulations Based on Reduced Networks

Marinho

Phulpin²,

Atayi³

et al. 2019

Energies

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Phase shifters are becoming widespread assets operated by transmission system operators to deal with congestions and contingencies using non-costly remedial actions. The setting of these controllable devices, which impacts power flows over large areas, may vary significantly according to the operational conditions. It is thus a key challenge to model phase shifters appropriately in power system simulation. In particular, accounting for the flexibility of phase shifters in reduced network models is a vibrant issue, as system stakeholders rely more and more on reduced models to perform studies supporting operational and investment decisions. Different approaches in the literature are proposed to model phase shifters in reduced network. Nevertheless, these approaches are based on the electrical parameters of the system which are not suitable for reduced network models. To address this problem, our paper proposes a methodology and assesses the impact of this contribution in terms of accuracy of the modelling on reduced network models. The approach was applied to a realistic case-study of the European transmission network that was clustered into a reduced network consisting of 54 buses and 82 branches. The reduction was performed using classical clustering methods and represented using a static power transfer distribution factor matrix. The simulations highlight that including an explicit phase shifter transformers representation in reduced models is of interest, when comparing with the representation using only a static power transfer distribution factor matrix.

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