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A Novel Approach to Evaluate Incremental Transmission Losses
Universidad Simón Bolívar.
Universidad Simón Bolívar, Caracas.ORCID iD: 0000-0003-4443-7653
DEEC-FEUP Oporto.
Universidad de Zaragoza.
2009 (English)In: WSEAS Transactions on Power Systems, Vol. 4, no 1, p. 12-21Article in journal (Refereed) Published
Abstract [en]

During the past thirty years, the evaluation of incremental losses in transmission systems has beenwidespread around the world encompassing a fundamental task in order to solve the well-known economic dispatchproblem. Nowadays, incremental losses or computation of penalty factors has gained a new relevance allocatingtransmission losses among market participants being integrated in the spot pricing model. Nevertheless, vagueness in power injections from load demand and renewable resources has a fundamental influence on transmission incremental losses, and consequently affecting spot prices of the energy. This paper presents a new method to compute Incremental Transmission Loss (ITL) factors taking into account the effect of uncertainty on power injections due to measurement errors or future estimation. Fuzzy Set Theory is applied to deal with vagueness of information about power injections. The proposed technique provides a broad spectrum of feasibility of incremental losses in order to perform operational planning tasks by Transmission System Operators or network regulators. A 3-bus system is used to illustrate the proposed methodology.

Place, publisher, year, edition, pages
2009. Vol. 4, no 1, p. 12-21
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-3669Local ID: 17cbd0c2-1b9d-4c68-817c-3cbcaca0191dOAI: oai:DiVA.org:ltu-3669DiVA, id: diva2:976528
Note

Upprättat; 2009; 20150701 (manalv)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2023-09-05Bibliographically approved

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http://www.wseas.us/e-library/transactions/power/2009/29-166.pdf

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Alvarez, Manuel

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