A multi-objective voltage stability constrained energy management system for isolated microgrids. (May 2020)

• Record Type: Journal Article
• Authors: Nasr, Mohamad-Amin; Nikkhah, Saman; Gharehpetian, Gevork B.; Nasr-Azadani, Ehsan; Hosseinian, Seyed Hossein
• Is Part Of: International journal of electrical power & energy systems. Volume 117(2020)
• Publication Date: 2020-05
• Subjects: Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2019.105646
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A comprehensive multi-objective model is proposed for energy management systems. The importance of security constraints is investigated. The application of various distributed energy resources in energy scheduling of microgrids is examined. Participation of system load demands in energy scheduling of microgrids is evaluated. The model is tested on a modified version of a CIGRE benchmark test system. Abstract: Nowadays, microgrids are more likely to operate in an isolated state, and it is of outmost importance to consider various security issues in the management of such systems. This paper proposes a new energy management system for isolated microgrids, which considers the voltage stability and generation contingency constraints. A multi-objective security constrained microgrid energy management system (MOSC-MEMS) based on a coordinated unit commitment-optimal power flow (UC-OPF) framework is introduced, aiming at minimization of real power losses, voltage deviations, and power generation costs. A Pareto optimal front is obtained using the ∊ -constraint method, and the best compromise solution is derived using the Fuzzy Satisfying criterion. Furthermore, a CIGRE benchmark test system based on European medium voltage network is used to demonstrate the performance of the proposed MOSC-MEMS. The simulation results, obtained by implementing the proposed framework in general algebraic modeling system (GAMS), indicate the feasibility of the proposed model and imply the significance of security constraints in the microgrid energy management systems.