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Joint maintenance scheduling for generators and energy storage systems in sustainable power systems
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DOI：10.1016/j.ijepes.2025.111432.png)
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Abstract
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• A robust ESS-coordinated framework improves energy adequacy in power systems with a high share of renewable energy. • The maintenance and operation process is modeled using a monthly time-series simulation with hourly resolution. • Exogenous forecast errors are modeled with Wasserstein ambiguity sets, while endogenous ESS aging and failure uncertainties follow Weibull distributions. • A distributionally robust optimization method is applied to the bilevel model, which is efficiently solved using strong duality theory.
Keywords:
Joint maintenance scheduling
High-penetration renewable energy resources
Energy storage system
Distributionally robust optimization
Wasserstein distance
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