Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5883
Título: Stochastic Framework for Strategic Decision-making of Load-serving Entities for Day-ahead Market
Autor: Ghazvini, Mohammad Ali F.
Faria, Pedro
Morais, Hugo
Vale, Zita
Ramos, Sérgio
Palavras-chave: Demand-side, load-serving entities, locational marginal price, market power , stochastic programming.
Data: Jun-2013
Resumo: The deregulation of electricity markets has diversified the range of financial transaction modes between independent system operator (ISO), generation companies (GENCO) and load-serving entities (LSE) as the main interacting players of a day-ahead market (DAM). LSEs sell electricity to end-users and retail customers. The LSE that owns distributed generation (DG) or energy storage units can supply part of its serving loads when the nodal price of electricity rises. This opportunity stimulates them to have storage or generation facilities at the buses with higher locational marginal prices (LMP). The short-term advantage of this model is reducing the risk of financial losses for LSEs in DAMs and its long-term benefit for the LSEs and the whole system is market power mitigation by virtually increasing the price elasticity of demand. This model also enables the LSEs to manage the financial risks with a stochastic programming framework.
URI: http://hdl.handle.net/10400.22/5883
DOI: 10.1109/PTC.2013.6652394
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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