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Stochastic multi-period optimal dispatch of energy storage in unbalanced distribution feeders

Journal Article · · Electric Power Systems Research
 [1];  [2]
  1. Univ. of Vermont, Burlington, VT (United States). Dept. of Electrical and Biomedical Engineering; Univ. of Vermont, Burlington, VT (United States)
  2. Univ. of Vermont, Burlington, VT (United States). Dept. of Electrical and Biomedical Engineering
This report presents a convex, multi-period, AC-feasible Optimal Power Flow (OPF) framework that robustly dispatches flexible demand-side resources in unbalanced distribution feeders against uncertainty in very-short timescale solar Photo-Voltaic (PV) forecasts. This is valuable for power systems with significant behind-the-meter solar PV generation as their operation is affected by uncertainty from forecasts of demand and solar PV generation. The aim of this work is then to ensure the feasibility and reliability of distribution system operation under high solar PV penetration. We develop and present a novel, robust OPF formulation that accounts for both the nonlinear power flow constraints and the uncertainty in forecasts. This is achieved by linearizing an optimal trajectory and using first-order methods to systematically tighten voltage bounds. Case studies on a realistic distribution feeder shows the effectiveness of a receding-horizon implementation.
Research Organization:
Univ. of Vermont, Burlington, VT (United States)
Sponsoring Organization:
USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
EE0008006
OSTI ID:
1848666
Alternate ID(s):
OSTI ID: 2007697
Journal Information:
Electric Power Systems Research, Journal Name: Electric Power Systems Research Journal Issue: C Vol. 189; ISSN 0378-7796
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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