access icon free Robust optimisation-based microgrid scheduling with islanding constraints

© US Government
Received 25/10/2016, Accepted 19/01/2017, Revised 10/01/2017, Published 17/02/2017

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.

Inspec keywords: power generation economics; distributed power generation; photovoltaic power systems; cost reduction; optimisation; diesel-electric generators; power generation scheduling; wind turbines; power generation reliability

Other keywords: micro turbine; robust optimisation-based optimal scheduling model; numerical simulations; operational uncertainties; purchasing cost; total operation cost minimisation; islanding capability constraints; local demand; wind turbine; microgrid resiliency; local electricity supply reliability; generation cost; PV panel; fuel cell; diesel generator; robust optimisation-based microgrid scheduling; renewable energy resources; local renewable generation; spinning reserve cost

Subjects: Wind power plants; Diesel power stations and plants; Power system management, operation and economics; Distributed power generation; Solar power stations and photovoltaic power systems; Reliability; Optimisation techniques

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