An overview on network cost allocation methods

Lima, Delberis A.; Padilha‐Feltrin, Antonio; Contreras, Javier

doi:10.1016/j.epsr.2008.10.005

Cited by 45 publications

(30 citation statements)

References 12 publications

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“…Proportional Sharing principle is the basic assumption used by the power flow tracing method. The transmission usage and cost calculated by the power flow tracing method are obtained observing how the power injection into the nodes distributes itself through the transmission lines [4]. According to the power flow tracing method, each injection of power at a bus has a direct relationship with each extraction of power at this bus.…”

Section: Power Flow Tracing Methodsmentioning

confidence: 99%

“…It is the responsibility of the transmission users (generators and loads) to pay the transmission usage cost. In an open access market, it is very difficult to find a reliable and efficient method for allocating the usage and cost of the transmission system to its users [4]. Electric utilities traditionally allocate the transmission cost to each generator and load based on Postage Stamp and Contract Path methods [5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Transmission Usage and Cost Allocation Using Shapley Value and Tracing Method: A Comparison

Rathore¹,

Agnihotri²,

Khan³

et al. 2014

ELELIJ

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Section: Power Flow Tracing Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Transmission Usage and Cost Allocation Using Shapley Value and Tracing Method: A Comparison

Rathore¹,

Agnihotri²,

Khan³

et al. 2014

ELELIJ

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show abstract

“…Usage of dispersed slack bus to reduce price for loads and generators distant from a conventional slack bus is suggested in [16]. An approach independent of slack bus selection is proposed in [4] and discussed in [17].…”

Section: A Marginal Participation Methodsmentioning

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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“…A large number of measured data reveal that the probability distribution of annual average wind speed can be described by a Weibull probability distribution [35]. The probability density function of wind speed, denoted by f1(v), is given in Equation (30). By integrative approach, the probability distribution function (PDF) of wind speed, denoted by F1(v), can be obtained, just as shown in Equation (31).…”

Section: Ieee-24 Bus System and Wind Turbine Modelingmentioning

confidence: 99%

“…How to build a reasonable and effective transmission service cost allocation model is an important topic studied by many researchers in recent years [30]. M. Ghayeni and R. Ghazi proposed a new method to allocate the transmission service costs from the perspective of nodal pricing [31].…”

Section: Transmission Service Cost Allocation Modelmentioning

confidence: 99%

Economic Impact Assessment of Wind Power Integration: A Quasi-Public Goods Property Perspective

Zhao

Guo

2015

Energies

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Abstract:The integration of wind power into power grid will bring some impacts on the multiple subjects of electric power system. Economic impacts of wind power integration on multiple subjects of China's electric power system were quantitatively assessed from Quasi-public goods property perspective in this paper. Firstly, the Quasi-public goods property of transmission services provided by power grid corporations was elaborated. Secondly, the multiple subjects of China's electric power system, which include electricity generation enterprises (EGEs), power grid corporations (PGCs), electricity consumers (ECs), and environment, were detailed analyzed. Thirdly, based on the OPF-based nodal price model and transmission service cost allocation model, the economic impact assessment model of wind power integration was built from Quasi-public goods property perspective. Then, the IEEE-24 bus system employed in this paper was introduced according to current status of China's electric power system, and the modeling of wind turbine was also introduced. Finally, the simulation analysis was performed, and the economic impacts of wind power integration on EGEs, PGCs, ECs and Environment were calculated. The results indicate, from Quasi-public goods property perspective, the wind power integration will bring positive impacts on EGEs, PGCs and Environment, while negative impacts on ECs. The findings can provide references for power system managers, energy planners, and policy makers.

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An overview on network cost allocation methods

Cited by 45 publications

References 12 publications

Transmission Usage and Cost Allocation Using Shapley Value and Tracing Method: A Comparison

Transmission Usage and Cost Allocation Using Shapley Value and Tracing Method: A Comparison

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

Economic Impact Assessment of Wind Power Integration: A Quasi-Public Goods Property Perspective

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