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Title: Optimal and Resilient Coordination of Virtual Batteries in Distribution Feeders

Abstract

This paper presents a novel hierarchical framework for real-time, network-admissible coordination of responsive grid resources aggregated into virtual batteries (VBs). In this context, a VB represents a local aggregation of directly controlled loads, such as smart inverters, electric water heaters, and air-conditioners. The coordination is achieved by solving an optimization problem to disaggregate a feeder’s desired reference trajectory into constraint-aware set-points for the VBs. Specifically, a novel, provably-tight, convex relaxation of the AC optimal power flow (OPF) problem is presented to optimally dispatch the VBs to track the feeder’s desired power trajectory. In addition to the optimal VB dispatch scheme, a real-time, corrective control scheme is designed, which is based on optimal proportional-integral (PI) control with anti-windup, to reject intra-feeder and inter-feeder disturbances that arise during operation of the power system. Simulation results conducted on a modified IEEE test system demonstrate the effectiveness of the proposed multi-layer VB coordination framework.

Authors:
ORCiD logo; ORCiD logo; ORCiD logo; ORCiD logo
Publication Date:
Research Org.:
Univ. of Vermont, Burlington, VT (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1811169
Alternate Identifier(s):
OSTI ID: 1770720; OSTI ID: 1827241
Grant/Contract Number:  
EE0008006
Resource Type:
Published Article
Journal Name:
IEEE Transactions on Power Systems
Additional Journal Information:
Journal Name: IEEE Transactions on Power Systems Journal Volume: 36 Journal Issue: 4; Journal ID: ISSN 0885-8950
Publisher:
Institute of Electrical and Electronics Engineers
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; Hierarchical Control; Distributed Energy Resources; Virtual Battery; Convex Optimization; Distribution Systems; Radial Networks

Citation Formats

Brahma, Sarnaduti, Nazir, Nawaf, Ossareh, Hamid, and Almassalkhi, Mads R. Optimal and Resilient Coordination of Virtual Batteries in Distribution Feeders. United States: N. p., 2021. Web. doi:10.1109/TPWRS.2020.3043632.
Brahma, Sarnaduti, Nazir, Nawaf, Ossareh, Hamid, & Almassalkhi, Mads R. Optimal and Resilient Coordination of Virtual Batteries in Distribution Feeders. United States. https://doi.org/10.1109/TPWRS.2020.3043632
Brahma, Sarnaduti, Nazir, Nawaf, Ossareh, Hamid, and Almassalkhi, Mads R. Thu . "Optimal and Resilient Coordination of Virtual Batteries in Distribution Feeders". United States. https://doi.org/10.1109/TPWRS.2020.3043632.
@article{osti_1811169,
title = {Optimal and Resilient Coordination of Virtual Batteries in Distribution Feeders},
author = {Brahma, Sarnaduti and Nazir, Nawaf and Ossareh, Hamid and Almassalkhi, Mads R.},
abstractNote = {This paper presents a novel hierarchical framework for real-time, network-admissible coordination of responsive grid resources aggregated into virtual batteries (VBs). In this context, a VB represents a local aggregation of directly controlled loads, such as smart inverters, electric water heaters, and air-conditioners. The coordination is achieved by solving an optimization problem to disaggregate a feeder’s desired reference trajectory into constraint-aware set-points for the VBs. Specifically, a novel, provably-tight, convex relaxation of the AC optimal power flow (OPF) problem is presented to optimally dispatch the VBs to track the feeder’s desired power trajectory. In addition to the optimal VB dispatch scheme, a real-time, corrective control scheme is designed, which is based on optimal proportional-integral (PI) control with anti-windup, to reject intra-feeder and inter-feeder disturbances that arise during operation of the power system. Simulation results conducted on a modified IEEE test system demonstrate the effectiveness of the proposed multi-layer VB coordination framework.},
doi = {10.1109/TPWRS.2020.3043632},
journal = {IEEE Transactions on Power Systems},
number = 4,
volume = 36,
place = {United States},
year = {Thu Jul 01 00:00:00 EDT 2021},
month = {Thu Jul 01 00:00:00 EDT 2021}
}