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Robust optimisation-based microgrid scheduling with islanding constraints

delete2017-05-15
delete91
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OA
AI
G
Guodong Liu *
M
Michael Starke
B
Bailu Xiao
K
Kevin Tomsovic
DOI:10.1049/iet-gtd.2016.1699delete
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Abstract

Abstract

En 中文
This study proposes a robust optimisation-based optimal scheduling model for microgrid operation considering constraints of islanding capability. The objective is to minimise 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. 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 optimisation 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 realisations of the modelled 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.
Keywords:
distributed power generation
power generation reliability
power generation scheduling
optimisation
cost reduction
power generation economics
wind turbines
photovoltaic power systems
diesel-electric generators
diesel generator
micro turbine
fuel cell
PV panel
wind turbine
numerical simulations
renewable energy resources
operational uncertainties
local renewable generation
local demand
microgrid resiliency
local electricity supply reliability
purchasing cost
spinning reserve cost
generation cost
total operation cost minimisation
robust optimisation-based optimal scheduling model
islanding capability constraints
robust optimisation-based microgrid scheduling
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Journal

IET Generation Transmission and Distribution cover
IET Generation Transmission and Distribution
IF:
2.6
Papers:
271
Citations:
1.0W

Organization

U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246
O
oak ridge national laboratory
Scholars:
1.4W
Papers: 1.0W
Citations: 20