unit commitment

The dataset consists of data for the IEEE 118-bus system, IEEE 300-bus system, and a modified 3266-bus system based on the practical provincial grid of China for unit commitment. The dataset includes one year of load information, renewable energy generation data, and the necessary parameters for solving the unit commitment problem, such as units, lines, and buses.

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Renewable energy is boosting the deployment of microgrids (MGs) with stochastic and low inertia nature. To improve the operational efficiency of MGs while guaranteeing frequency security, a three-stage stochastic unit commitment problem is proposed, where renewable energy can be deloaded. In the first stage, the diesel generators (DGs) are scheduled, responding to uncertainties of loads and photovoltaic generator output. In the second stage, the outputs of DGs are optimized to reduce the operational cost under uncertain disturbances.

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This data is associated to an optimization model for generation expansion planning considering energy-based and power-based formulations. The data contains the information used in the case studies related to demand and renewable time series, as well as the technical characteristic of generation and storage units.

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