A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids. (May 2016)

• Record Type: Journal Article
• Authors: Ahmad Khan, Aftab; Naeem, Muhammad; Iqbal, Muhammad; Qaisar, Saad; Anpalagan, Alagan
• Is Part Of: Renewable & sustainable energy reviews. Volume 58(2016:May)
• Page Start: 1664
• Page End: 1683
• Publication Date: 2016-05
• Subjects: Optimization -- Algorithms -- Microgrid; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2015.12.259
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: Microgrid equipped with heterogenous energy resources and a bank of energy storage devices presents the idea of small scale distributed energy management (DEM). DEM facilitates the minimization of the transmission and operation costs, peak load and environmental pollution. Microgrid also enables active customer participation by giving them the access to the real time information and control. The capability of fast restoration against physical/cyber attack, integration of renewable energy resources and information and communication technologies (ICT) make microgrid as an ideal candidate for distributed power systems. The energy management system of microgrid can perform real time energy forecasting of renewable resources, energy storage elements and controllable loads in making proper short term scheduling to minimize total operating costs. Cost benefit analysis of microgrid reveals that cooperation among different microgrids can play an important role in the reduction of import energy cost from the utility grid. Cooperation among microgrids in smart microgrid network (SMN) brings the energy sharing and management issues. In this paper we present a review of existing optimization objectives, constraints, solution approaches and tools used in microgrid energy management. This review paper can provide a foundation to embark on an in depth study in the area of energy management for smart microgrid network.