A Unit Commitment Model with Demand Response for the Integration of Renewable Energies
Yuichi Ikeda, Takashi Ikegami, Kazuto Kataoka, and Kazuhiko Ogimoto

TL;DR
This paper presents a unit commitment model incorporating demand response to optimize thermal power plant operation amidst renewable energy fluctuations, analyzing forecast errors, sudden wind power drops, and demand response effects.
Contribution
It introduces a novel unit commitment model that accounts for renewable forecast errors and demand response, enhancing operational cost analysis and reserve management.
Findings
Operation costs increase with forecast error.
Demand response reduces thermal plant operation during wind drops.
Thermal plants can be decommissioned with sufficient renewable capacity and demand response.
Abstract
The output of renewable energy fluctuates significantly depending on weather conditions. We develop a unit commitment model to analyze requirements of the forecast output and its error for renewable energies. Our model obtains the time series for the operational state of thermal power plants that would maximize the profits of an electric power utility by taking into account both the forecast of output its error for renewable energies and the demand response of consumers. We consider a power system consisting of thermal power plants, photovoltaic systems (PV), and wind farms and analyze the effect of the forecast error on the operation cost and reserves. We confirm that the operation cost was increases with the forecast error. The effect of a sudden decrease in wind power is also analyzed. More thermal power plants need to be operated to generate power to absorb this sudden decrease in…
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