Transmission congestion management in an electricity market

Fang, Risheng; David, A.K.

doi:10.1109/59.780898

Cited by 203 publications

(78 citation statements)

References 6 publications

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“…Introducing the dual price , meaning that whether the price of node L is closest to 1 S or 2 S depends only on network characteristics and can be decided before any bids are received. 4 Without being in any way exhaustive. 5 Note that …”

Section: Kh Andruuhfw %Dvlv Iru =Rqh $Oorfdwlrqvmentioning

confidence: 99%

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Zonal Pricing in a Deregulated Electricity Market

Bjørndal

Jørnsten²

2001

The Energy Journal

123

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In the deregulated Norwegian electricity market a zonal transmission pricing system is used to cope with network capacity problems. In this paper we will illustrate some of the problems that the zonal pricing system, as implemented in Norway, has. With the use of small network examples we illustrate the difficulties involved in defining the zones, the redistribution effects of the surplus that a zonal pricing system has, as well as the conflicting interests concerning zone boundaries that are present among the various market participant. We also show that a zone allocation mechanism based on nodal prices does not necessarily lead to a zone system with maximal social surplus. Finally, we formulate an optimization model that when solved yields the zone system that maximizes social surplus given a pre-specification of the number of zones to be used.,QWURGXFWLRQA zonal approach to managing congestion has been adopted in the Norwegian scheduled power market. The trading process works approximately as follows:1) Based on the supply and demand schedule bids given by the market participants, the market is cleared while ignoring any grid limitations. This produces a system price S of energy.2) If the resulting flows induce capacity problems, the nodes of the grid are partitioned into zones.3) Considering the case with two zones defined, the zone with net supply is defined as the low-price area, whereas the net demand zone is determined the high-price area. 4) Net transmission over the zone-boundary is fixed when curtailed to meet the violated capacity limit.

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Section: Kh Andruuhfw %Dvlv Iru =Rqh $Oorfdwlrqvmentioning

confidence: 99%

“…Returning to the example at the beginning of section 3, assuming line 1-2 is congested, we have varied the line capacity and changed supply and demand data such that line 1-2 is still congested 4 . In this case it seems like the best zonal division, C1, is quite robust to changes.…”

Section: Kh Andruuhfw %Dvlv Iru =Rqh $Oorfdwlrqvmentioning

confidence: 99%

Zonal Pricing in a Deregulated Electricity Market

Bjørndal

Jørnsten²

2001

The Energy Journal

123

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“…The pricing system (e.g., nodal price or locational marginal price (LMP)) plays an important role in the congestion management [9][10][11][12]. Reference [9] proposes a "fixed transmission right" model for the congestion management.…”

Section: Introductionmentioning

confidence: 99%

“…Reference [10] provides an operation decision support software system covering the functionality of transmission dispatch and congestion management system (TDCMS). In [11], both real and reactive power controllers are considered to mitigate the transmission congestion using optimization. This document also discusses three possible curtailment strategies.…”

Section: Introductionmentioning

confidence: 99%

Congestion Management using Genetic Algorithm in Deregulated Power Environments

Nabavi¹,

Kazemi²,

Masoum³

2011

IJCA

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Congestion cost allocation is an important issue in congestion management. This paper presents a genetic algorithm (GA) to determine the optimal generation levels in a deregulated market. The main issue is congestion in lines, which limits transfer capability of a system with available generation capacity. Nodal pricing method is used to determine locational marginal price (LMP) of each generator at each bus. Simulation results based on the proposed GA and the Power World Simulator software is presented and compared for the IEEE 30-bus test system.

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“…In [10], an OPF based approach that minimizes cost of congestion and service costs is proposed. In [11], a new mechanism of congestion management in multilateral transaction networks has been developed based on physical flows.…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Flow based Congestion Management Methods for Competitive Electricity Markets

Saini¹,

Saxena²

2010

IJCEE

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Abstract-Congestion management is one of the major tasks performed by system operators to ensure the operation of transmission system within operating limits. In the emerging electric power market, the congestion management becomes extremely important and it can impose a barrier to the electricity trading. In the present paper, a concept of transmission congestion penalty factors is developed and implemented to control power overflows in transmission lines for congestion management. Three methods based on optimal power flow are proposed to alleviate congestion in transmission lines and tested. The first two methods require re-dispatching of generators and changes in capacitors' reactive support only. They can be differentiated on the basis of economic cost involved in making required changes to above variables. The third method deals with load curtailment scheme based on willing to pay charges paid for different transactions in the system to avoid congestion. The formation of different categories for charging willing to pay charges from pool consumers is new feature of this scheme.

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Transmission congestion management in an electricity market

Cited by 203 publications

References 6 publications

Zonal Pricing in a Deregulated Electricity Market

Zonal Pricing in a Deregulated Electricity Market

Congestion Management using Genetic Algorithm in Deregulated Power Environments

Optimal Power Flow based Congestion Management Methods for Competitive Electricity Markets

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