Abstract
A smart energy management system (SEMS) enables the effective utilization of available energy resources and thus results in energy-efficient operation of a smart grid. A SEMS can be applied for the integration of renewable energy resources to a smart grid to balance energy sustainability as well as controllability. Therefore, it is important to understand the various existing SEMS methods present in the literature, and to explore their applicability and functionality. In this chapter, existing energy management techniques are reviewed in brief, and a case study is presented considering a model predictive controller (MPC). The aim of the presented case study is to demonstrate the application of an MPC for a standalone photovoltaic-based (PV-based) microgrid equipped with battery energy storage as a secondary source of energy. Further, a multi-input single-output type DC–DC converter configuration is adopted to reduce the mismatching losses and ensure maximum power point tracking of PVs. The performance of the proposed smart energy management system is validated through a MATLAB/Simulink environment.
Cite
CITATION STYLE
Tomar, A., & Pattnaik, A. (2021). SMART ENERGY MANAGEMENT IN RENEWABLE ENERGY SYSTEMS. In Smart Energy Management Systems and Renewable Energy Resources (pp. 1–24). American Institute of Physics Inc. https://doi.org/10.1063/9780735422827_001
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