Purchase bidding strategy for a retailer with flexible demands in day-ahead electricity market
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کد پروژه: 144300
شرح پروژه
Abstract—The paper aims to determine the day-ahead market
bidding strategies for retailers with flexible demands to maximize
the short-term profit. It proposes a short-term planning framework
to forecast the load under dynamic tariffs and construct
biding curves. Stochastic programming is applied to manage
the uncertainties of spot price, regulating price, consumption
behaviors and responsiveness to dynamic tariffs. A case study
based on data from Sweden is carried out. It demonstrates that
a real-time selling price can affect the aggregate load of a residential
consumer group and lead to load shift towards low-price
periods. The optimal bidding curves for specific trading periods
are illustrated. Through comparing the bidding strategies under
different risk factors, the case study shows that a risk-averse
retailer tends to adopt the strategies with larger imbalances.
The benefit lies in the reduction of low-profit risk. However,
the aversion to risk can only be kept in a certain level. A larger
imbalance may lead to a quick reduction of profit in all scenarios.
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