Formation of Bidding Zones Based on Linear Bottleneck Games

Kiran, Deep; Abhyankar, A. R.; Panigrahi, Bijaya Ketan

doi:10.1109/jsyst.2017.2760886

Cited by 2 publications

(5 citation statements)

References 30 publications

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“…Finally, Kiran et al. [19] present an LMP‐based grid partition methodology that relies on diakoptics. This approach is based on the random generation of multiple grid partitions that are then sorted out in order to jointly optimize multiple evaluation criteria.…”

Section: Literature Reviewmentioning

confidence: 99%

“…[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]. This characterizes a strong focus on the sophistication of grid partitioning towards the alignment of zone borders with grid congestions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In that sense, the use of automated grid partitioning methods leads to series of arbitrary decisions on the employed methods and broadens the range of possible output configurations. The possible addition of input criteria [19] or clustering layers [15] further multiplies these methodological options – and resulting configurations.…”

Section: Case Studymentioning

confidence: 99%

“…This approach is nonetheless based on mixed integer non-linear programming and is only experimented on small test systems with up to 30 buses. Finally, Kiran et al [19] present an LMP-based grid partition methodology that relies on diakoptics. This approach is based on the random generation of multiple grid partitions that are then sorted out in order to jointly optimize multiple evaluation criteria.…”

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

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: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Case Studymentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

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

View full text Add to dashboard Cite

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“…As a result, clustering should assign nodes that span congested lines into different clusters, because congestion differentiates the LMP values across the grid. Some more complex LMP-based techniques include, for example, weighting the nodes with respect to their relevance in energy infeed or demand (see [21]), or providing an insight into the optimal number of bidding zones (see [22]).…”

Section: The Feature Space Of the Zonal Marketmentioning

confidence: 99%

Partitioning Power Grid for the Design of the Zonal Energy Market While Preserving Control Area Constraints

2021

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The use of a zonal structure for energy markets across the globe is expanding; however the debate on how to effectively partition the grid into bidding zones is still open for discussion. One of the factors that needs to be addressed in the process of bidding zones’ delimitation is the transmission system operators control areas. Merging parts of different control areas into one bidding zone can lead to multiple problems, ranging from political, through grid security concerns, to reserve control issues. To address it, this paper presents a novel grid partitioning method aimed at bidding zones delimitation that is based on clustering the power grid using an extended version of the standard agglomerative clustering. The proposed solution adds additional clustering rules when constructing the dendrogram in order to take into account the control areas. The algorithm is applied to the data which represents the locational marginal prices obtained from optimal power flow analysis.

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Formation of Bidding Zones Based on Linear Bottleneck Games

Cited by 2 publications

References 30 publications

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

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

Partitioning Power Grid for the Design of the Zonal Energy Market While Preserving Control Area Constraints

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