In this section
@article{Qi:2023:10.1109/tste.2023.3262135,
author = {Qi, N and Pinson, P and Almassalkhi, MR and Cheng, L and Zhuang, Y},
doi = {10.1109/tste.2023.3262135},
journal = {IEEE Transactions on Sustainable Energy},
pages = {2234--2248},
title = {Chance-constrained generic energy storage operations under decision-dependent uncertainty},
url = {http://dx.doi.org/10.1109/tste.2023.3262135},
volume = {14},
year = {2023}
}
TY - JOUR
AB - 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 by weather conditions. Instead, this manuscript focuses on newly-introduced decision-dependent uncertainties (DDUs) and considers an optimal GES dispatch that accounts for uncertain available state-of-charge (SoC) bounds that are affected by incentive signals and discomfort levels. To incorporate DDUs, we present a novel chance-constrained optimization (CCO) approach for the day-ahead economic dispatch of GES units. Two tractable methods are presented to solve the proposed CCO problem with DDUs: (i) a robust reformulation for general but incomplete distributions of DDUs, and (ii) an iterative algorithm for specific and known distributions of DDUs. Furthermore, reliability indices are introduced to verify the applicability of the proposed approach with respect to the reliability of the response of GES units. Simulation-based analysis shows that the proposed methods yield conservative, but credible, GES dispatch strategies and reduced penalty cost by incorporating DDUs in the constraints and leveraging data-driven parameter identification. This results in improved availability and performance of coordinated GES units.
AU - Qi,N
AU - Pinson,P
AU - Almassalkhi,MR
AU - Cheng,L
AU - Zhuang,Y
DO - 10.1109/tste.2023.3262135
EP - 2248
PY - 2023///
SN - 1949-3029
SP - 2234
TI - Chance-constrained generic energy storage operations under decision-dependent uncertainty
T2 - IEEE Transactions on Sustainable Energy
UR - http://dx.doi.org/10.1109/tste.2023.3262135
UR - http://hdl.handle.net/10044/1/104881
VL - 14
ER -
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