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Abstract-A new model to deal with the short-term generation scheduling problem for hydrothermal systems is proposed. Using genetic algorithms (GAs), the model handles simultaneously the subproblems of short-term hydrothermal coordination, unit commitment, and economic load dispatch. Considering a scheduling horizon period of a week, hourly generation schedules are obtained for each of both hydro and thermal units. Future cost curves of hydro generation, obtained from long and mid-term models, have been used to optimize the amount of hydro energy to be used during the week. In the genetic algorithm (GA) implementation, a new technique to represent candidate solutions is introduced, and a set of expert operators has been incorporated to improve the behavior of the algorithm. Results for a real system are presented and discussed.

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Disadvantages of traditional "rate of return" regulation for distribution tariffs have led to he development of new regulatory schemes to stimulate efficiency in the provision of the service, under what has been called "benchmark regulation." The paper assesses the Chilean "model company" regulation that aims at making the private distribution monopoly compete with a reference efficient model company, through a "yardstick competition" approach. It compares it with the "price cap" scheme used in electricity distribution in England and Wales. It contributes with a proposal to integrate both schemes. The proposed hybrid methodology is developed and evaluated, capturing the best characteristics of both regulatory schemes. Mathematical models to relate operational costs with electrical variables are developed.

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