Marginal transmission pricing and supplemental cost allocation method: A case of Philippines

Rotoras, R.E.; Lefèvre, Thierry; Pacudan, R.

doi:10.1016/s0378-7796(02)00119-0

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…However, the increasing penetration of DER at distribution level forces the need to adapt traditional cost allocation methods used in transmission system to the distribution level. In general, the cost allocation methods for transmission systems may be classified into three distinct categories: nodal marginal methods [3][4][5][6][7]; rolled-in methods [8][9][10][11]; embeddedmethods [12][13][14][15][16][17][18][19][20][21][22][23][24]. The cost allocation based on nodal marginal pricing for transmission systems is presented in [3][4][5], in which are considered the long-term and short-term marginal costs related to energy, reliability, investments and demand side.…”

Section: Literature Review and Specific Contributionsmentioning

confidence: 99%

Cost allocation model for distribution networks considering high penetration of distributed energy resources

Soares

Pereira

Morais

et al. 2015

Electric Power Systems Research

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a b s t r a c tThe high penetration of distributed energy resources (DER) in distribution networks and the competitive environment of electricity markets impose the use of new approaches in several domains. The network cost allocation, traditionally used in transmission networks, should be adapted and used in the distribution networks considering the specifications of the connected resources. The main goal is to develop a fairer methodology trying to distribute the distribution network use costs to all players which are using the network in each period. In this paper, a model considering different type of costs (fixed, losses, and congestion costs) is proposed comprising the use of a large set of DER, namely distributed generation (DG), demand response (DR) of direct load control type, energy storage systems (ESS), and electric vehicles with capability of discharging energy to the network, which is known as vehicle-to-grid (V2G). The proposed model includes three distinct phases of operation. The first phase of the model consists in an economic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen's and Bialek's tracing algorithms are used and compared to evaluate the impact of each resource in the network. Finally, the MW-mile method is used in the third phase of the proposed model. A distribution network of 33 buses with large penetration of DER is used to illustrate the application of the proposed model.

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Section: Literature Review and Specific Contributionsmentioning

confidence: 99%

Cost allocation model for distribution networks considering high penetration of distributed energy resources

Soares

Pereira

Morais

et al. 2015

Electric Power Systems Research

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“…The simplest and most common approach in allocating network cost is the so-called postage stamp or rolledin method [24,25]. The postage stamp method used throughout the utility industry, allocates the embedded capital costs and the average annual operation and maintenance costs of existing transmission facilities.…”

Section: Avoided Network Capacity Cost (Ancc)mentioning

confidence: 99%

Incentive pricing and economic profitability of load management program

Sheen

2006

Energy

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“…The transmission systems expense, the technique by which it is handled, is a Top priority issue in the power sector. As a result of improved transmitting capacity, the cost differentials affected utility companies and the dramatic growth of non‐utility generation function 6 . Throughout certain countries globally, the energy supply sector endures transition with controlled to the restructured system.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of hybrid techniques for evaluation of power transmission cost and loss allocation based on transmission reliability margin

Shaik

Lalitha

Visali

2021

Int Trans Electr Energ Syst

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Summary The cost allotment of the transmission system is based on reliability, which is a significant problem for efficient transmission cost allotment. In this paper, a hybrid technique is suggested to allocate and minimize the embedded cost of transmission based on the reliability margin by permitting its users for the transactions under the Deregulated power system market. The hybrid technique combines the Elephant Herd Optimization (EHO) algorithm and the Fuzzy Logic Controller (FLC). The Elephant Heard Optimization algorithmic program is impressed by the swarming activities of elephant grouping. The FLC is utilized to boost the performance of the Elephant Heard Optimization Method. Initially, the Optimal Power flow is analyzed using the Newton‐Raphson (N‐R) approach. The objective function is to define and analyze the power loss, capacity cost, Expected Transmission Margin Unit (ETMU), reliability cost, and embedded cost for the base case. After that, the transmission system's contingency and analysis of the embedded cost and power loss are analyzed. The outcomes of the suggested method are analyzed with cases such as contingency, transactions. The suggested technique is tested with the IEEE 5 and IEEE 24 Reliability Test System bus system and analyzed the corresponding capacity cost, reliability cost, ETMU, Embedded cost, and Power loss of the system. The suggested method is implemented in MATLAB software. Results are validated with the traditional methods, namely Bat Algorithm (Bat) and Firefly Algorithm (FA).

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Marginal transmission pricing and supplemental cost allocation method: A case of Philippines

Cited by 10 publications

References 15 publications

Cost allocation model for distribution networks considering high penetration of distributed energy resources

Cost allocation model for distribution networks considering high penetration of distributed energy resources

Incentive pricing and economic profitability of load management program

Performance analysis of hybrid techniques for evaluation of power transmission cost and loss allocation based on transmission reliability margin

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