چکیده
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n restructured electricity markets, the electricity retailers try to obtain the consumers’ electricity demand at the
minimum cost of different resources such as self-generating facilities, bilateral contracts and pool market purchases. Hence,
more attention should be paid to the demand response programs (DRPs) which aim to electricity procurement cost reduction.
Owing to the uncertain nature of pool prices and the price fluctuation in the pool markets, the uncertainty modelling is
inevitable for retailers. In this study, a robust optimisation approach is proposed for decision making of electricity retailers.
Meanwhile, considering the effect of DRP on total procurement cost, an optimal bidding strategy is proposed of electricity
retailers with the time-based model of DRP in the electricity market. For this purpose, a collection of robust mixed-integer
linear programming (RMILP) problem should be solved in the proposed method. Rather than using the forecasted prices as
inputs, the upper and lower limits of pool prices are considered for the uncertainty modelling. The range of pool prices is
sequentially partitioned into successive nested subintervals, which permits formulating the RMILP problems. The results of
these problems give sufficient data to obtain an optimal bidding strategy for electricity retailers considering DRP. Detailed
analysis is performed to delineate the proposed method.
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