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Stochastic Framework for Strategic Decision-making of Load-serving Entities for Day-ahead Market
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Demand-side, load-serving entities, locational marginal price, market power , stochastic programming.