Chance-Constrained Generic Energy Storage Operations under Decision-Dependent Uncertainty

Compared with large-scale physical batteries, aggregated and coordinated generic energy storage (GES) resources provide low-cost, but uncertain, flexibility for power grid operations. While GES can be characterized by different types of uncertainty, the literature mostly focuses on decision-independent uncertainties (DIUs), such as exogenous stochastic disturbances caused weather conditions. Instead, this manuscript newly-introduced decision-dependent (DDUs) considers an optimal dispatch that accounts uncertain available state-of-charge (SoC) bounds are affected incentive signals discomfort levels. To incorporate DDUs, we present a novel chance-constrained optimization (CCO) approach day-ahead economic units. Two tractable methods presented to solve proposed CCO problem DDUs: (i) robust reformulation general incomplete distributions (ii) iterative algorithm specific known DDUs. Furthermore, reliability indices introduced verify applicability respect response Simulation-based analysis shows yield conservative, credible, strategies reduced penalty cost incorporating DDUs in constraints leveraging data-driven parameter identification. This results improved availability performance