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Optimal capacity allocation in multi-auction electricity markets under uncertainty

机译:不确定条件下多拍卖场电力市场的最优容量分配

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The advent of competitive markets confronts each producer with the problem of optimally allocating his energy/capacity so as to maximize his profits. The multiplicity of auctions in electricity markets and the non-trivial constraints imposed by technical and bidding rules make the problem of crucial importance and difficult to model and solve. Further difficulties are represented by the dynamic and stochastic natures that characterize the decision process. We formulate the problem as a multi-stage mixed-integer stochastic optimization model under the assumption that the seller is a price taker. We validate the effectiveness of the proposed model on a representative test problem.
机译:竞争性市场的到来使每个生产者都面临着优化分配其能源/能力以最大化其利润的问题。电力市场中拍卖的多样性以及技术和投标规则所施加的不平凡的约束,使得该问题至关重要,并且难以建模和解决。决策过程所具有的动态性和随机性进一步加剧了困难。在卖方是价格接受者的假设下,我们将该问题表述为多阶段混合整数随机优化模型。我们在有代表性的测试问题上验证了所提出模型的有效性。

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