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:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Univ. of Tennessee, Knoxville, TN (United States). Dept. of Electrical Engineering and Computer Science
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1361321
- Alternate Identifier(s):
- OSTI ID: 1786735
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- 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. https://doi.org/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. https://doi.org/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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