Robust optimisation-based microgrid scheduling with islanding constraints

被引:88
|
作者
Liu, Guodong [1 ]
Starke, Michael [1 ]
Xiao, Bailu [1 ]
Tomsovic, Kevin [2 ]
机构
[1] Oak Ridge Natl Lab, Power & Energy Syst Grp, Oak Ridge, TN 37831 USA
[2] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA
基金
美国国家科学基金会;
关键词
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; UNIT COMMITMENT; MANAGEMENT-SYSTEM; ENERGY MANAGEMENT; RENEWABLE ENERGY; BIDDING STRATEGY; DEMAND RESPONSE; OPERATION; RESERVE;
D O I
10.1049/iet-gtd.2016.1699
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:1820 / 1828
页数:9
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