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Min–max long run marginal cost to allocate transmission tariffs for transmission users

Authors: Érica Telles; Delberis A. Lima; Alexandre Street; Javier Contreras;

Min–max long run marginal cost to allocate transmission tariffs for transmission users

Abstract

Abstract The dispersion and volatility of transmission tariffs can provide an unsafe environment for generation investors in electrical systems, which are constantly growing. Dispersion and volatility occur, for example, in Brazil, where the Long Run Marginal Costs (LRMC) method is applied to calculate transmission tariffs. To solve this problem, this paper proposes a new Transmission Tariff Computation (TTC) approach based on the LRMC method and the min–max optimization technique. The proposed method uses the LRMC approach and the min–max optimization technique to seek less-dispersed transmission tariffs. The proposed modified LRMC method can be employed to optimize tariffs for generators and loads jointly or separately. This choice should be based on the network topology. The results are presented for a 6-bus and the IEEE 118-bus systems. The modified LRMC method is compared with the traditional LRMC method, currently in use in Brazil, and the classical Pro rata technique. Finally, some conclusions are presented.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
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