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International Journal of Electrical Power & Energy Systems
Article . 2015 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Separation of power systems into a unique set of zones based on transmission usage of network tariffs and transmission loss tariffs

Authors: Osman Bülent Tör;

Separation of power systems into a unique set of zones based on transmission usage of network tariffs and transmission loss tariffs

Abstract

Abstract Transmission usage of network tariffs (TUNT) and transmission loss tariffs (TLT) are among the most important pricing mechanisms that are utilized to recover main transmission costs in today’s electricity markets. Separation of entire power network into different tariff zones is a common approach which simplifies the tariff mechanisms particularly for large power systems. Zonal distribution of nodal tariffs that is calculated based on classical weighted-average procedures can be different given the difference between the calculation methodologies of the TUNTs and TLTs. However, correlation between nodal TUNTs and TLTs can be very strong, particularly when they are determined based on marginal pricing methodologies. This paper proposes an approach which separates a power system into a unique set of zones considering the nodal distribution of TUNTs and TLTs. In this approach, mismatches between the nodal elements of TUNTs and TLTs zones are iteratively eliminated until a unique zonal tariff sets are created. Application of the proposed zoning approach is discussed on the zonal TUNTs and TLTs of the Turkish power system. Numerical verification of the proposed zoning methodology is made with the IEEE 24 Bus System. Unique set of tariff zones can be represented on a map which will provide significant and consistent indication about the transmission enforcement requirements of the network in a simplest and efficient manner.

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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!
4
Average
Average
Average
gold