Probabilistic reliability management of energy storage systems in connected/islanding microgrids with renewable energy

• Published in: Electric power systems research 2023-01, Vol.214, p.108891, Article 108891
• Main Authors: Rahmani, Ehsan, Mohammadi, Sirus, Zadehbagheri, Mahmoud, Kiani, Mohammadjavad
• Format: Article
• Language: English
• Subjects: Energy storage systems; Microgrid; Optimization; Reliability
• ISSN: 0378-7796; 1873-2046
• DOI: 10.1016/j.epsr.2022.108891

•ESS scheduling has been performed in both weekly and daily modes.•Different operating strategies has been assessed.•Stochastic models of parameters in the MO scheduling are taken into account.•Impact of parameters of EES on reliability determined. Energy storage systems (ESSs) are useful devices to ensure the reliable operation of microgrids especially those with high penetration of renewable energies. The microgrid operation is highly associated with scheduling of ESS units. Therefore, in this paper, a new algorithm for ESS scheduling has been suggested in order to manage MG in a reliable manner. Because reliability considering and cost minimization are conflicting objectives in ESS scheduling, the multi-objective optimization problem should be solved for optimal scheduling of ESS. Different operating strategy have been considered and their impact on ESS scheduling in the microgrid has been investigated. In order to properly consider the uncertainties associated with the multi-objective scheduling problem, probabilistic models have been presented for the parameters in the network and they are expressed as mixed integer linear programming (MILP) problems. Non-dominated sorting teaching learning-based optimization (NSTLBO) algorithm is employed to solve the MO problem. Scheduling plan is performed on both weekly and daily horizons in connected/islanding microgrid modes. By implementing this method on a modified 33-bus IEEE test system, the results endorse the effectiveness of the proposed scheme for enhancing the reliability of MGs.