A Scenario-based Storage Planning Framework with Probabilistic Guarantees

The deepening penetration of renewable energy resources poses critical challenges on the secure and reliable operation of power systems. Energy storage, which could smooth out the fluctuations brought about by the renewables, is one major solution to addressing those challenges. Storage planning, which determines the optimal site and size of the energy storage system, could effectively facilitate the integration of renewables. To consider the impacts of uncertain renewables, this paper proposes a probabilistic framework for storage planning. It explicitly models the operation risk by incorporating individual chance constraints. The chance constraints are converted to deterministic constraints using historical data via the scenario approach. The probabilistic storage planning problem is further decomposed into an upper- level problem and several lower-level problems, and solved via a sub-gradient cutting-plane algorithm. Numerical simulations are conducted on the IEEE 6-bus system.