RETRACTED: An efficient distribution factors enhanced transmission pricing method for Australian NEM transmission charging scheme

Radzi, N. H.; Bansal, R.C.; Dong, Zhekang; Hassan, M. Y.; Wong, K.P.

doi:10.1016/j.renene.2012.12.013

Cited by 9 publications

(7 citation statements)

References 12 publications

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“…Assume that M is the time during which the transmission and distribution tariff space varies following a ladder-like movement; then, the transmission and distribution tariff in year (t 0 + m) under this model, represented by P t 0 þm 3 , can be calculated by Eq. (22).…”

Section: Ladder Linkage Model Of the Electricity Transmission And Dismentioning

confidence: 99%

“…optimization technique, which can be employed to optimize tariffs for generators and loads jointly or separately. Radzi et al [22] introduced a novel transmission pricing method which was called Distribution Factors Enhanced Transmission Pricing (DFETP) method in order to increase the utilization efficiency of the network as well as to promote the green technology in a market environment. Bharatwaj et al [23] presented a new transmission pricing paradigm based on the flexible mix and match approach, which aimed to create a generic flexible toolbox that considers the viewpoints and preferences of all the stakeholders.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

China’s electricity transmission and distribution tariff mechanism based on sustainable development

Wang²,

et al. 2015

International Journal of Electrical Power & Energy Systems

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Section: Ladder Linkage Model Of the Electricity Transmission And Dismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

China’s electricity transmission and distribution tariff mechanism based on sustainable development

Wang²,

et al. 2015

International Journal of Electrical Power & Energy Systems

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“…These pricing methods can promote better utilization of network assets and provide the right signals for public acceptance of new transmission investments. Transmission pricing schemes have been developed and applied in various markets worldwide, e.g., Texas [4], Australia [5], Germany [6], and Greece [7]. An international comparison of electricity transmission pricing schemes can be found in [8].…”

Section: Introductionmentioning

confidence: 99%

Computer-Assisted Interactive Learning for Teaching Transmission Pricing Methodologies

Georgilakis

Orfanos

Hatziargyriou

2014

IEEE Trans. Power Syst.

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This paper presents a computer-assisted method to teach and understand transmission pricing techniques. The education method is facilitated by specially designed user-friendly transmission pricing software (TPS). The proposed approach helps students fully understand transmission pricing through the fulfillment of the following educational objectives: 1) use of TPS to solve the transmission pricing problem of a small power system as well as a real-world power system; 2) complete understanding of the mathematics involved and development of software code to reproduce part of the results of TPS; 3) analysis of the results, identification and justification of the differences among three transmission tracing techniques and eight transmission cost allocation methods; and 4) extension of TPS methodologies. These methods have been proven effective in the education of students studying power system economics at the National Technical University of Athens (NTUA), Greece. A full-fledged, robust, comprehensive study of the educational improvements achieved through the use of TPS is provided.

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“…At present, there are several main calculation methods for optimizing the configuration of ESS capacity. These include typical scenario methods [9][10][11][12][13][14], production simulation methods [15][16][17][18][19][20][21][22], and intelligent algorithm optimization methods [23][24][25].…”

mentioning

confidence: 99%

“…The production simulation method can simulate various power supply conditions and power supply balance by time series under the given system operating boundaries. The ESS capacity demand is finally obtained through time series production simulation [15][16][17][18][19][20][21][22]. It is also the most frequently used calculation method.…”

mentioning

confidence: 99%

Optimal Configuration Analysis Method of Energy Storage System Based on “Equal Area Criterion”

Li,

Zeng,

Wang

et al. 2023

Energies

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In order to solve the problem of randomness and volatility caused by the rapid growth of renewable energy (RE), energy storage systems (ESSs)—as an important means of regulation—can effectively improve the flexible regulation capacity of power systems utilizing a high proportion of RE. Most of the current ESS capacity configuration procedures are carried out based on the typical scenario method or time series production simulation. This method tends to determine the size of the ESS configuration through multiple trial simulations. Uncertainty of simulation prediction data can result in the existence of an excess capacity or lack of configured capacity. In addition, this method reflects the ESS demand under specific targets, but it fails to fully utilize RE generation characteristics. The configuration process lacks the mathematical mechanism of RE consumption, and the calculation process is too complicated. In view of the shortcomings of traditional ESS optimal configuration methods, this paper examines the mathematical mechanism of RE consumption and proposes the ESS optimal configuration analysis method based on “equal area criterion”. First, the principle of RE consumption is analyzed and the “RE consumption characteristic curve” is proposed according to RE characteristics. In addition, a working principle diagram of RE consumption, including ESS, is constructed to visually show the consumption capacity of RE and the working position of ESS. Then, the ESS optimal configuration process, based on the “equal area criterion”, is proposed to achieve an accurate match between ESS capacity demand and RE consumption targets. Finally, the power grid of a region in China is taken as an example. We prove that the proposed method can save 1.41 × 103 MWh of ESS capacity and provide a more “mathematical” and “convenient” systematic solution for RE consumption and ESS optimization compared to the production simulation method.

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RETRACTED: An efficient distribution factors enhanced transmission pricing method for Australian NEM transmission charging scheme

Cited by 9 publications

References 12 publications

China’s electricity transmission and distribution tariff mechanism based on sustainable development

China’s electricity transmission and distribution tariff mechanism based on sustainable development

Computer-Assisted Interactive Learning for Teaching Transmission Pricing Methodologies

Optimal Configuration Analysis Method of Energy Storage System Based on “Equal Area Criterion”

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