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Title: Bi-Level Volt-VAR Optimization to Coordinate Smart Inverters with Voltage Control Devices

Abstract

Conservation voltage reduction (CVR) uses voltage control to reduce customer power demand and help improve the operational efficiency of the electric power distribution system. With the advent of advanced distribution management systems (ADMS), the underlying data and control-rich platform can be utilized to enable a centralized Volt-VAR optimization (VVO) scheme that includes smart inverter controls along with legacy voltage control devices such as voltage regulators and capacitor banks to ensure a maximum CVR benefit. The objective of this paper to present a VVO approach that controls system’s legacy voltage control devices and coordinates their operation with smart inverter control. An optimal power flow (OPF) formulation is proposed by developing linear and nonlinear power flow approximations for a three-phase unbalanced electric power distribution system. A bi-level VVO approach is proposed where, Level-1 optimizes the control of legacy devices and smart inverters using a linear approximate three-phase power flow. In Level-2, the control parameters for smart inverters are adjusted to obtain an optimal and feasible solution by solving the approximate nonlinear OPF model. Level-1 is modeled as a Mixed Integer Linear Program (MILP) while Level-2 as a Quadratically Constrained Quadratic Program (QCQP). The proposed approach is validated using IEEE test cases andmore » the results demonstrate the applicability of the framework in achieving the CVR objective.« less

Authors:
; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1508047
Report Number(s):
PNNL-SA-132043
Journal ID: ISSN 0885-8950
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
IEEE Transactions on Power Systems
Additional Journal Information:
Journal Volume: 34; Journal Issue: 3; Journal ID: ISSN 0885-8950
Publisher:
IEEE
Country of Publication:
United States
Language:
English

Citation Formats

Jha, Rahul Ranjan, Dubey, Anamika, Liu, Chen-Ching, and Schneider, Kevin Paul. Bi-Level Volt-VAR Optimization to Coordinate Smart Inverters with Voltage Control Devices. United States: N. p., 2019. Web. doi:10.1109/TPWRS.2018.2890613.
Jha, Rahul Ranjan, Dubey, Anamika, Liu, Chen-Ching, & Schneider, Kevin Paul. Bi-Level Volt-VAR Optimization to Coordinate Smart Inverters with Voltage Control Devices. United States. doi:10.1109/TPWRS.2018.2890613.
Jha, Rahul Ranjan, Dubey, Anamika, Liu, Chen-Ching, and Schneider, Kevin Paul. Tue . "Bi-Level Volt-VAR Optimization to Coordinate Smart Inverters with Voltage Control Devices". United States. doi:10.1109/TPWRS.2018.2890613.
@article{osti_1508047,
title = {Bi-Level Volt-VAR Optimization to Coordinate Smart Inverters with Voltage Control Devices},
author = {Jha, Rahul Ranjan and Dubey, Anamika and Liu, Chen-Ching and Schneider, Kevin Paul},
abstractNote = {Conservation voltage reduction (CVR) uses voltage control to reduce customer power demand and help improve the operational efficiency of the electric power distribution system. With the advent of advanced distribution management systems (ADMS), the underlying data and control-rich platform can be utilized to enable a centralized Volt-VAR optimization (VVO) scheme that includes smart inverter controls along with legacy voltage control devices such as voltage regulators and capacitor banks to ensure a maximum CVR benefit. The objective of this paper to present a VVO approach that controls system’s legacy voltage control devices and coordinates their operation with smart inverter control. An optimal power flow (OPF) formulation is proposed by developing linear and nonlinear power flow approximations for a three-phase unbalanced electric power distribution system. A bi-level VVO approach is proposed where, Level-1 optimizes the control of legacy devices and smart inverters using a linear approximate three-phase power flow. In Level-2, the control parameters for smart inverters are adjusted to obtain an optimal and feasible solution by solving the approximate nonlinear OPF model. Level-1 is modeled as a Mixed Integer Linear Program (MILP) while Level-2 as a Quadratically Constrained Quadratic Program (QCQP). The proposed approach is validated using IEEE test cases and the results demonstrate the applicability of the framework in achieving the CVR objective.},
doi = {10.1109/TPWRS.2018.2890613},
journal = {IEEE Transactions on Power Systems},
issn = {0885-8950},
number = 3,
volume = 34,
place = {United States},
year = {2019},
month = {1}
}