Microgrid optimal scheduling with chance-constrained islanding capability

• Published in: Electric power systems research Vol. 145; pp. 197 - 206
• Main Authors: Liu, G., Starke, M., Xiao, B., Zhang, X., Tomsovic, K.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.04.2017; Elsevier Science Ltd; Elsevier
• Subjects: Chance constraints; Computer simulation; Diesel fuels; Distributed generation; Electric power distribution; Electric power systems; Electricity distribution; ENERGY PLANNING, POLICY, AND ECONOMY; Fuel cells; Integer programming; Islanding capability; Linear programming; Mathematical analysis; Microgrid; Mixed integer; Mixed-integer linear programming (MILP); Optimal scheduling; Optimization; Photovoltaic cells; Scheduling; Simulation; Solar cells; Spinning reserve; Wind turbines; Chance constraints; Islanding capability; Spinning reserve; Microgrid; Mixed-integer linear programming (MILP); Optimal scheduling
• ISSN: 0378-7796; 1873-2046
• DOI: 10.1016/j.epsr.2017.01.014

•A new microgrid optimal scheduling strategy with chance-constrained islanding capability is developed.•A new concept, probability of successful islanding (PSI) is proposed and approximated in mixed-integer linear form.•The formulation of PSI is compatible with any probability distribution of uncertainties.•Different scenarios are tested on a simulated microgrid and the effectiveness of the proposed strategy is validated. To facilitate the integration of variable renewable generation and improve the resilience of electricity supply in a microgrid, this paper proposes an optimal scheduling strategy for microgrid operation considering constraints of islanding capability. A new concept, probability of successful islanding (PSI), indicating the probability that a microgrid maintains enough spinning reserve (both up and down) to meet local demand and accommodate local renewable generation after instantaneously islanding from the main grid, is developed. The PSI is formulated as mixed-integer linear program using multi-interval approximation taking into account the probability distributions of forecast errors of wind, PV and load. With the goal of minimizing the total operating cost while preserving user specified PSI, a chance-constrained optimization problem is formulated for the optimal scheduling of mirogrids and solved by mixed integer linear programming (MILP). 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 strategy. The relationship between PSI and various factors are verified.