Abstract
An Optimization model of pricing hydro-thermal trade is presented in day-ahead market of electricity, which object is to maximize the social benefit increment. And an algorithm of the model is given using heuristics algorithm. Example indicates that the model and algorithm are feasible. © Springer-Verlag Berlin Heidelberg 2007.
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Chen, G., Tan, Z., Zhao, J., Qi, J., & Li, L. (2007). Optimization models of pricing hydro-thermal trade based on energy economics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4489 LNCS, pp. 984–987). Springer Verlag. https://doi.org/10.1007/978-3-540-72588-6_157
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