An Aumann-Shapley Approach to Allocate Transmission Service Cost Among Network Users in Electricity Markets

Junqueira, M.; Costa, Luiz Carlos da; Barroso, L.A.; Oliveira, G.C.; Thome, L.M.; Pereira, Milton

doi:10.1109/tpwrs.2007.907133

Cited by 114 publications

(51 citation statements)

References 19 publications

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“…The intractability of calculating the Shapley value has given rise to a number of studies which attempt to estimate it via approximation methods [3]. In [4], the authors use the Shapley value to allocate transmission service costs among network users in energy markets.…”

Section: Problem Formulationmentioning

confidence: 99%

Efficient computation of shapley values for demand response programs

O'Brien

Gamal

Rajagopal

2013

Proceedings of the Fourth International Conference on Future Energy Systems

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Section: Problem Formulationmentioning

confidence: 99%

Efficient computation of shapley values for demand response programs

O'Brien

Gamal

Rajagopal

2013

Proceedings of the Fourth International Conference on Future Energy Systems

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“…1) marginal participation (MP) method [2]-[4]; 2) proportionate power flow tracing or average participation (AP) method [5]- [8]; 3) with and without transit flow methods [9]; 4) based transmission network cost allocation [10]; 5) transmission charges based on bilevel programming [11]; 6) cooperative game theory based methods [12]- [14]; 7) min-max fair tracing method [15]. All the above methods require load flow solution, usually a dc load flow, to compute the TSU cost.…”

Section: Introductionmentioning

confidence: 99%

Min-Max Fair Power Flow Tracing for Transmission System Usage Cost Allocation: A Large System Perspective

Rao

Soman

Chitkara³

et al. 2010

IEEE Trans. Power Syst.

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Abstract-Power flow tracing has been suggested as an approach for evaluating 1) transmission system usage (TSU) cost and 2) loss (MW) cost for generator and load entities in the system. Recently, optimal power flow tracing methods have been proposed to "explicitly" model fairness constraints in the tracing framework. This paper, further, strengthens the tracing-compliant min-max fair cost allocation approach. The min-max model proposed in this paper is robust. It addresses concerns like scalability, numerical stability and termination in a finite number of steps while searching the optimal solution. We also propose a methodology to model DISCOMs and GENCOs as coalition within min-max framework. Case studies on an all India network of 1699 nodes and comparison with average participation and marginal participation methods bring out the better conflict resolution feature of the proposed approach. A method to model HVDC lines within the marginal participation scheme is also proposed. Quantitative and qualitative comparison of various TSU cost allocation methods on such a large system is another noteworthy contribution of the paper.

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“…The new task of a fair Energies 2017, 10, 800 6 of 12 distribution of additional profits arises. The Shapley value is one way to distribute the total gains to the players, assuming that they all collaborate [12][13][14]. In this paper, the description of power system relations between a public trader and a power plant is considered.…”

mentioning

confidence: 99%

The Influence of Small-Scale Power Plant Supporting Schemes on the Public Trader and Consumers

et al. 2017

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Abstract:The mechanism of support schemes for achieving the required share of renewable energy sources (RES) was implemented into the energy sector. The issued amount of support requires state subsidies. The end-users of electricity are paying the mandatory procurement component taxes to cover these subsidies. The article examines the way of minimizing the influence of the existing RES supporting schemes on the consumers. The fixed purchased electricity price in the case of RES does not encourage producers to operate at hours of peak consumption or when the price is high. Modification of the RES support mechanisms at the legislative level, firstly, could minimize the influence of the mandatory procurement component on the end-users' electricity price, and secondly, could provide a great opportunity for the public trader to forecast the operation of small power plants and their generation abilities. Numerical experiments with models of two types of power plants (biofuel and hydropower) prove the existence of a problem and the presence of a solution. This problem constitutes the main subject of the present paper.

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An Aumann-Shapley Approach to Allocate Transmission Service Cost Among Network Users in Electricity Markets

Cited by 114 publications

References 19 publications

Efficient computation of shapley values for demand response programs

Efficient computation of shapley values for demand response programs

Min-Max Fair Power Flow Tracing for Transmission System Usage Cost Allocation: A Large System Perspective

The Influence of Small-Scale Power Plant Supporting Schemes on the Public Trader and Consumers

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