Transmission cost allocation based on the modified Z-bus

Nikoukar, Javad; Haghifam, Mahmoud‐Reza; Parastar, Amir

doi:10.1016/j.ijepes.2012.03.002

Cited by 15 publications

(7 citation statements)

References 10 publications

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“…Power tracking coefficient developed [20]with the help of kirchof's law for the active power flow tracking and revenue collected by individual generator determined. A method [21] suggested allocating the transmission fixed charge based on the modification of the impedance matrix in which real power flow through the line expressed in terms of load current also as electrical distance and voltage injection at the bus. Iteratively one by one impact of every generator selected on the network using the z-bus of the network [22] and transmission congestion cost determined based on the current decomposition method.…”

Section: Introductionmentioning

confidence: 99%

Allocation of Total Congestion Cost and load participation to Generators for a PoolCo Market in Deregulated Power System

Bhavsar¹,

Pandya²

2021

Adv. sci. technol. eng. syst. j.

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The objective of this paper is to allocate transmission congestion cost to responsible generators using a novel method. Deregulation of the electrical power system leads to the compulsion of open access to the transmission system for all entities of the power system. There is a trend to utilize cheaper generators by all loads. This leads to a violation of the operational and physical constraints of transmission corridors connected to those generators. It is not possible to utilize cheaper generators all the time due to the operational and physical constraints of the transmission lines. Hence there is an increase in the cost of energy produced. This increase in energy cost is taken into account as total congestion cost. Allocation of total congestion costs among various entities is always a complex task. Here, generators liable for the increase in total congestion cost identified using Bialek's algorithm. Bialek's upstream algorithm was applied to allocate congestion costs to generators. Results are obtained on IEEE-14 bus and IEEE-30 bus standard test systems.

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Section: Introductionmentioning

confidence: 99%

Allocation of Total Congestion Cost and load participation to Generators for a PoolCo Market in Deregulated Power System

Bhavsar¹,

Pandya²

2021

Adv. sci. technol. eng. syst. j.

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“…The use of circuit theory to the TCA is another pricing scheme, widely applied in the literature [19,[23][24][25][26][27][28]. The circuit-theory-based approaches, including Z-bus model [23,24] as well as its modified forms [26,28], modified nodal equation (MNE) model [25], and transformer analogy (TA) model [27], have an important advantage over any cost allocation method, as previously described. These methods incorporate the network characteristics directly into the allocation process.…”

Section: Introductionmentioning

confidence: 99%

“…The results rely mostly on the principle applied to split the mutual terms, as the main causes of the nonlinearity, between the participants. A group of papers use the most common sharing principles, namely, proportional [29], quadratic [30], and equal sharing [19,28,31] to split the mutual terms, whereas the others [23][24][25][26][27] avoid the mutual terms by considering a single variable at a time. In [29], it is revealed that proportional and equal sharing principles bring about more reasonable results for reactive power allocation, compared with the single variable division.…”

Section: Introductionmentioning

confidence: 99%

Circuit-theory-based method for transmission fixed cost allocation based on game-theory rationalized sharing of mutual-terms

Pouyafar

Hagh

Zare

2019

J. Mod. Power Syst. Clean Energy

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This paper proposes a new method to allocate the transmission fixed costs among the network participants in a pool-based electricity market. The allocation process relies on the circuit laws, utilizes the modified impedance matrix and is performed in two individual steps for the generators and loads. To determine the partial branch power flows due to the participants, the equal sharing principle is used and validated by the Shapley and Aumann-Shapley values as two preferred game-theoretic solutions. The proposed approach is also applied to determine the generators' contributions into the loads, and a new concept, named circuit-theory-based equivalent bilateral exchange (EBE), is introduced. Using the proposed method, fairly stable tariffs are provided for the participants. Cross-subsidies are reduced and a fair competition is made by the proposed method due to the counter-flows being alleviated compared with the well-known Z-bus method. Numerical results are reported and discussed to validate the proposed cost allocation method. Comparative analysis reveals that the method satisfies all conditions desired in a fair and efficient cost allocation method. Finally, the developed technique has been implemented successfully on the 2383-bus Polish power system to emphasize that the method is applicable to very large systems.

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“…A modified PQC approach considering the reactive power demand of the loads is presented in [7]. Methods based on power or current injection is presented in [8][9][10]. Power injections are derived in terms of real and imaginary currents which are traced to find the contribution of each source to load [11].…”

Section: Introductionmentioning

confidence: 99%

An investigation on apportion of mathematical loss in transmission loss/cost allocation approach

Kalavai

Shanmugam

2019

IJEECS

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<p>Cost allocation of highly non-linear transmission loss is complex and essential in competitive electricity market. In most of the existing transmission loss/cost allocation approaches, real power loss depends on selection of slack bus and hence the cost of transmission losses which are allocated to the generators and the loads also varies. In this paper, a complete analysis on the impact of slack bus selection on transmission loss allocation with and without mathematical loss is made. One of the existing approaches, proportional generation and proportional load (PGPL) method is taken to illustrate the impact. Mathematical loss is the loss without generation and load in the network and can be obtained from power flow solution by taking generation and load as zero. The cost incurred for this mathematical loss is allocated to the transmission lines while the cost of transmission loss due to bilateral contracts is allocated among the sources and the consumers. These loss/cost allocations with and without considering mathematical loss is shown using an IEEE 30 bus, 57 bus, 75 bus and 118 bus systems. The simulation results are obtained using MATLAB R2014a.<em></em></p>

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Transmission cost allocation based on the modified Z-bus

Cited by 15 publications

References 10 publications

Allocation of Total Congestion Cost and load participation to Generators for a PoolCo Market in Deregulated Power System

Allocation of Total Congestion Cost and load participation to Generators for a PoolCo Market in Deregulated Power System

Circuit-theory-based method for transmission fixed cost allocation based on game-theory rationalized sharing of mutual-terms

An investigation on apportion of mathematical loss in transmission loss/cost allocation approach

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