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Probabilistic Model and Solution Algorithm for the Electricity Retailers in the Italian Market

机译：意大利市场中电力零售商的概率模型和求解算法

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摘要

The paper considers the problem of maximizing the profits of a retailer operating in the Italian electricity market. The problem consists in selecting the contracts portfolio and in defining the bidding strategy in the wholesales market while respecting the technical and regulatory constraints. A novel solution method based on a enhanced discovery of the search domain in the simulated annealing technique has been developed for its solution and a set of realistic test problems have been generated for its validation. The experimental results show that our method outperforms the standard simulated annealing by an improvement gap of 20,48% in average.
机译：本文考虑了使意大利电力市场中的零售商获得最大利润的问题。问题在于选择合同组合以及在考虑技术和法规约束的同时定义批发市场中的投标策略。已开发出一种基于模拟退火技术中对搜索域的增强发现的新颖解决方法来解决该问题，并产生了一组现实的测试问题来进行验证。实验结果表明，我们的方法优于标准模拟退火方法，平均改善差距为20.48％。

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