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Title: Robust optimisation-based microgrid scheduling with islanding constraints

Abstract

This paper proposes a robust optimization based optimal scheduling model for microgrid operation considering constraints of islanding capability. Our objective is to minimize the total operation cost, including generation cost and spinning reserve cost of local resources as well as purchasing cost of energy from the main grid. In order to ensure the resiliency of a microgrid and improve the reliability of the local electricity supply, the microgrid is required to maintain enough spinning reserve (both up and down) to meet local demand and accommodate local renewable generation when the supply of power from the main grid is interrupted suddenly, i.e., microgrid transitions from grid-connected into islanded mode. Prevailing operational uncertainties in renewable energy resources and load are considered and captured using a robust optimization method. With proper robust level, the solution of the proposed scheduling model ensures successful islanding of the microgrid with minimum load curtailment and guarantees robustness against all possible realizations of the modeled operational uncertainties. Numerical simulations on a microgrid consisting of a wind turbine, a PV panel, a fuel cell, a micro-turbine, a diesel generator and a battery demonstrate the effectiveness of the proposed scheduling model.

Authors:
 [1];  [1];  [1];  [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1361321
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
IET Generation, Transmission, & Distribution
Additional Journal Information:
Journal Volume: 11; Journal Issue: 7; Journal ID: ISSN 1751-8687
Publisher:
Institution of Engineering and Technology
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Robust optimization; microgrid scheduling; spinning reserve; islanding constraints; mixed-integer linear programming (MILP)

Citation Formats

Liu, Guodong, Starke, Michael, Xiao, Bailu, and Tomsovic, Kevin. Robust optimisation-based microgrid scheduling with islanding constraints. United States: N. p., 2017. Web. doi:10.1049/iet-gtd.2016.1699.
Liu, Guodong, Starke, Michael, Xiao, Bailu, & Tomsovic, Kevin. Robust optimisation-based microgrid scheduling with islanding constraints. United States. doi:10.1049/iet-gtd.2016.1699.
Liu, Guodong, Starke, Michael, Xiao, Bailu, and Tomsovic, Kevin. Fri . "Robust optimisation-based microgrid scheduling with islanding constraints". United States. doi:10.1049/iet-gtd.2016.1699. https://www.osti.gov/servlets/purl/1361321.
@article{osti_1361321,
title = {Robust optimisation-based microgrid scheduling with islanding constraints},
author = {Liu, Guodong and Starke, Michael and Xiao, Bailu and Tomsovic, Kevin},
abstractNote = {This paper proposes a robust optimization based optimal scheduling model for microgrid operation considering constraints of islanding capability. Our objective is to minimize the total operation cost, including generation cost and spinning reserve cost of local resources as well as purchasing cost of energy from the main grid. In order to ensure the resiliency of a microgrid and improve the reliability of the local electricity supply, the microgrid is required to maintain enough spinning reserve (both up and down) to meet local demand and accommodate local renewable generation when the supply of power from the main grid is interrupted suddenly, i.e., microgrid transitions from grid-connected into islanded mode. Prevailing operational uncertainties in renewable energy resources and load are considered and captured using a robust optimization method. With proper robust level, the solution of the proposed scheduling model ensures successful islanding of the microgrid with minimum load curtailment and guarantees robustness against all possible realizations of the modeled operational uncertainties. Numerical simulations on a microgrid consisting of a wind turbine, a PV panel, a fuel cell, a micro-turbine, a diesel generator and a battery demonstrate the effectiveness of the proposed scheduling model.},
doi = {10.1049/iet-gtd.2016.1699},
journal = {IET Generation, Transmission, & Distribution},
number = 7,
volume = 11,
place = {United States},
year = {Fri Feb 17 00:00:00 EST 2017},
month = {Fri Feb 17 00:00:00 EST 2017}
}

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