Integrated Electricity and Natural Gas Demand Response in Flexibility-Based Generation Maintenance Scheduling

Increasing emission concerns about greenhouse gases have led to an increasing tendency use renewable energy sources (RERs) in the power system. Nevertheless, probabilistic nature of RERs has enhanced require flexibility provision. Hence, it is necessary implement a flexibility-based generation maintenance scheduling. For this purpose, used index system order evaluate In studies, modeling and predicting variability resources important. paper, uncertainties wind are considered through forecasting by deep learning method Python. Gas-fired plants one most important suppliers supply-side. Therefore, reliable operation depends on natural gas availability. Furthermore, demand subject various uncertainties, especially cold seasons, which will significant effects power-to-gas (P2G) technology as storages modeled mitigate impact output uncertainty. Meanwhile, integrated electricity response such event-based time-based model been applied provision from demand-side point view. objectives reducing costs, leveling reserve margin optimizing solve multi-objective problem, augmented Epsilon constraint used. The proposed implemented modified IEEE RTS 24 bus.