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dc.contributor.authorRuiz, Erixen_US
dc.contributor.authorRosellón, Juanen_US
dc.date.accessioned2012-08-24en_US
dc.date.accessioned2012-08-24T14:08:55Z-
dc.date.available2012-08-24T14:08:55Z-
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/10419/61313-
dc.description.abstractThis research presents an application of the Hogan, Rosellón and Vogelsang (2010) (HRV) mechanism to promote electricity transmission network expansion in the Peruvian electricity transmission system known as SEIN (Sistema Eléctrico Interconectado Nacional). The HRV mechanism combines the merchant and regulatory approaches to promote investment into transmission grids. This mechanism gives incentives for efficient investment in expansion of the network by the rebalancing over time of the fixed and variable charges of a two-part tariff in the framework of a wholesale electricity market with locational pricing. The expansion of the network is carried out through the sale of Financial Transmission Rights (FTR's) for the congested lines. The mechanism is applied for 103 nodes of the SEIN using detailed characteristics of generators, nodes and transmission lines. Under Laspeyres weights and linear cost of expansion of transmission capacity, it is shown that prices converge to lower levels as a result of increased transmission capacity.en_US
dc.language.isoengen_US
dc.publisherDeutsches Institut für Wirtschaftsforschung (DIW) Berlinen_US
dc.relation.ispartofseriesDiscussion Papers, German Institute for Economic Research, DIW Berlin 1171en_US
dc.subject.jelL51en_US
dc.subject.jelL91en_US
dc.subject.jelL94en_US
dc.subject.jelQ40en_US
dc.subject.ddc330en_US
dc.subject.keywordElectricity transmission expansionen_US
dc.subject.keywordincentive regulationen_US
dc.subject.keywordPeruen_US
dc.subject.keywordcongestion managementen_US
dc.titleTransmission investment in the Peruvian electricity market: Theory and applicationsen_US
dc.typeWorking Paperen_US
dc.identifier.ppn722227663en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US
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