Control and EMS of a Grid-Connected Microgrid with Economical Analysis

Mohamed El-Hendawi, Hossam A. Gabbar, Gaber El-Saady and El-Nobi A. Ibrahim
Additional contact information
Mohamed El-Hendawi: Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, 2000 Simcoe Street North, Oshawa, ON L1H7K4, Canada
Hossam A. Gabbar: Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, 2000 Simcoe Street North, Oshawa, ON L1H7K4, Canada
Gaber El-Saady: Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut 71515, Egypt
El-Nobi A. Ibrahim: Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut 71515, Egypt

Energies, 2018, vol. 11, issue 1, 1-20

Abstract: Recently, significant development has occurred in the field of microgrid and renewable energy systems (RESs). Integrating microgrids and renewable energy sources facilitates a sustainable energy future. This paper proposes a control algorithm and an optimal energy management system (EMS) for a grid-connected microgrid to minimize its operating cost. The microgrid includes photovoltaic (PV), wind turbine (WT), and energy storage systems (ESS). The interior search algorithm (ISA) optimization technique determines the optimal hour-by-hour scheduling for the microgrid system, while it meets the required load demand based on 24-h ahead forecast data. The control system consists of three stages: EMS, supervisory control and local control. EMS is responsible for providing the control system with the optimum day-ahead scheduling power flow between the microgrid (MG) sources, batteries, loads and the main grid based on an economic analysis. The supervisory control stage is responsible for compensating the mismatch between the scheduled power and the real microgrid power. In addition, this paper presents the local control design to regulate the local power, current and DC voltage of the microgrid. For verification, the proposed model was applied on a real case study in Oshawa (Ontario, Canada) with various load conditions.

Keywords: microgrid (MG); energy management system (EMS); interior search algorithm (ISA); supervisory control; local control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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