• Corpus ID: 246016295

Chance Constrained Economic Dispatch of Generic Energy Storage under Decision-Dependent Uncertainty

@inproceedings{Qi2022ChanceCE,
  title={Chance Constrained Economic Dispatch of Generic Energy Storage under Decision-Dependent Uncertainty},
  author={Ning Qi and Pierre Pinson and Lin Cheng and Yuxiang Wan and Yingrui Zhuang},
  year={2022}
}

• Ning Qi, P. Pinson, +2 authors Yingrui Zhuang
• Published 17 January 2022
• Engineering

—Aggregated and coordinated generic energy storage (GES) resources provide inexpensive, but uncertain flexibility for power grid operations and renewable energy integration. While different types of uncertainty exist, the literature mostly focuses on decision-independent uncertainties (DIUs). This manuscript focuses on two types of newly-introduced decision-dependent uncertainties (DDUs) for dispatching GES resources related to uncertain SOC boundaries and capacity degradation affected by accumulated discomfort and incentive price. To accommodate these different types of uncertainties, we present a novel chance-constrained optimization (CCO) approach for the day-ahead (DA) economic dispatch of GES resources. Two tractable solution methods are developed - a robust approximation and an iterative algorithm - to solve the proposed CCO with both DIUs and DDUs. Reliability indices are further introduced to verify the applicability of the proposed approach with respect to the response reliability of GES resources. Simulation-based analysis shows that the proposed method yields conservative but highly credible strategies by reducing incomplete knowledge of DIUs via data-driven parameter identification and incorporating DDUs in constraints. This effectively reduces costs in reserve markets and demand for corrective dispatch. of DIUs can be fully determined before ED with complete information of uncertainties. some stochastic properties (e.g., response probability, temperature may be affected by the operational and control strategies These are generally and simplified as static (and known) type of stochasticity is