Zonal marginal pricing approach based on sequential network partition and congestion contribution identification

Chen, Kang; Chen, Q.X.; Lin, Weixuan; Hong, Yang; Xia, Qing; Chen, Z.X.; Wu, Yuxiang; Xin, Jiang

doi:10.1016/j.ijepes.2013.02.033

Cited by 36 publications

(38 citation statements)

References 24 publications

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“…For instance, if r is a 10-dimensional vector of power flows and among them we observe only 2 significant congestions, the PTDF space for the problem will be reduced to 2D plane. Moreover, contrary to [6], the method can treat multiple lines congested similarly frequently in a proportionally similar way, preventing significant qualitative asymmetry if the rates of congestion differs only minutely (which can result i.e. from statistical fluctuations); (c) the choice of reference node leaves the analysis unaffected -changing reference node is equivalent to simultaneous translation of all the points by the same vector, which obviously does not influence distances between any pair of them (cf.…”

Section: Ptdf Spacementioning

confidence: 87%

“…We modify the case using the guidelines given by [6], [12] (nodal consumption, generation cost and flow capability). Using this data and BubbleClust algorithm we obtained two divisions: the one which does not allow zone without generators (ver.…”

Section: Case Studymentioning

confidence: 99%

“…Congestion Contribution Identification process (CCI) [6] [5] algorithm of C.Q. Kang et al [6] BubbleClust in PTDF space (ver. 1) BubbleClust in PTDF space (ver.…”

Section: Case Studymentioning

confidence: 99%

See 2 more Smart Citations

The scheme of a novel methodology for zonal division based on power transfer distribution factors

Klos

Wawrzyniak

Jakubek

et al. 2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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Abstract-One of the methodologies that carry out the division of the electrical grid into zones is based on the aggregation of nodes characterized by similar Power Transfer Distribution Factors (PTDFs). Here, we point out that satisfactory clustering algorithm should take into account two aspects. First, nodes of similar impact on cross-border lines should be grouped together. Second, cross-border power flows should be relatively insensitive to differences between real and assumed Generation Shift Key matrices. We introduce a theoretical basis of a novel clustering algorithm (BubbleClust) that fulfills these requirements and we perform a case study to illustrate social welfare consequences of the division.

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Section: Ptdf Spacementioning

confidence: 87%

Section: Case Studymentioning

confidence: 99%

See 1 more Smart Citation

The scheme of a novel methodology for zonal division based on power transfer distribution factors

Klos

Wawrzyniak

Jakubek

et al. 2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

View full text Add to dashboard Cite

show abstract

“…The first is based on Locational Marginal Prices [5][6][7][8][9] and aims at aggregation of nodes characterized by similar cost of energy delivered to the node in the nodal model. Second class of algorithms aggregates nodes characterized by similar Power Transfer Distribution Factors in respect to overloaded lines [10][11][12]. However, the existence of structural congestions is not the only aspect of efficient bidding zone delimitation.…”

Section: Introductionmentioning

confidence: 99%

Decomposition of Power Flow Used for Optimizing Zonal Configurations of Energy Market

2015

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Abstract-Zonal configuration of energy market is often a consequence of political borders. However there are a few methods developed to help with zonal delimitation in respect to some measures. This paper presents the approach aiming at reduction of the loop flow effect -an element of unscheduled flows which introduces a loss of market efficiency. In order to undertake zonal partitioning, a detailed decomposition of power flow is performed. Next, we identify the zone which is a source of the problem and enhance delimitation by dividing it into two zones. The procedure is illustrated by a study of simple case.

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“…Hence, country borders with their strict congestion limits seem to be natural candidates for zone borders. 2 In consequence, the questions which arise are whether and how a national market should be divided into zones. The existing methods are mostly based on two-stage approach -assignment of specific values to each of the nodes and division of the system into regions by clustering the nodes.…”

Section: Introductionmentioning

confidence: 99%

Division of the energy market into zones in variable weather conditions using Locational Marginal Prices

Wawrzyniak

Orynczak

Klos

et al. 2013

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society

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Adopting a zonal structure of electricity market requires specification of zones' borders. One of the approaches to identify zones is based on clustering of Locational Marginal Prices (LMP). The purpose of the paper is twofold: (i) we extend the LMP methodology by taking into account variable weather conditions and (ii) we point out some weaknesses of the method and suggest their potential solutions. The offered extension comprises simulations based on the Optimal Power Flow (OPF) algorithm and twofold clustering method. First, LMP are calculated by OPF for each of scenario representing different weather conditions. Second, hierarchical clustering based on Ward's criterion is used on each realization of the prices separately. Then, another clustering method, i.e. consensus clustering, is used to aggregate the results from all simulations and to find the global division into zones. The offered method of aggregation is not limited only to LMP methodology and is universal.

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Zonal marginal pricing approach based on sequential network partition and congestion contribution identification

Cited by 36 publications

References 24 publications

The scheme of a novel methodology for zonal division based on power transfer distribution factors

The scheme of a novel methodology for zonal division based on power transfer distribution factors

Decomposition of Power Flow Used for Optimizing Zonal Configurations of Energy Market

Division of the energy market into zones in variable weather conditions using Locational Marginal Prices

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