Energy Management System for a Grid-Connected Microgrid with Photovoltaic and Battery Energy Storage System
Author(s)
Tayab, Usman B
Yang, Fuwen
El-Hendawi, M
Lu, Junwei
Year published
2018
Metadata
Show full item recordAbstract
A microgrid (MG) is an energy system composed of renewable resources, energy storage unit and loads that can operate in either islanded or grid-connected mode. Renewable resources should be scheduled to manage load demand and power flow within MG. This paper presents a MG energy management system (M-EMS) for grid-connected photovoltaic (PV) and battery energy storage system (BESS) based hybrid MG. The proposed M-EMS consists of two modules, namely, forecasting and optimisation. The forecasting module is responsible for predicting solar irradiance, temperature and load demand, whereas the optimisation module performs optimal ...
View more >A microgrid (MG) is an energy system composed of renewable resources, energy storage unit and loads that can operate in either islanded or grid-connected mode. Renewable resources should be scheduled to manage load demand and power flow within MG. This paper presents a MG energy management system (M-EMS) for grid-connected photovoltaic (PV) and battery energy storage system (BESS) based hybrid MG. The proposed M-EMS consists of two modules, namely, forecasting and optimisation. The forecasting module is responsible for predicting solar irradiance, temperature and load demand, whereas the optimisation module performs optimal day-ahead scheduling of power generation and load demand in a grid-connected MG for economical operation. The proposed M-EMS for grid-connected hybrid PV-BESS MG is verified using MATLAB/Simulink. Simulation results indicate the efficiency and effectiveness of the proposed method for understudy case.
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View more >A microgrid (MG) is an energy system composed of renewable resources, energy storage unit and loads that can operate in either islanded or grid-connected mode. Renewable resources should be scheduled to manage load demand and power flow within MG. This paper presents a MG energy management system (M-EMS) for grid-connected photovoltaic (PV) and battery energy storage system (BESS) based hybrid MG. The proposed M-EMS consists of two modules, namely, forecasting and optimisation. The forecasting module is responsible for predicting solar irradiance, temperature and load demand, whereas the optimisation module performs optimal day-ahead scheduling of power generation and load demand in a grid-connected MG for economical operation. The proposed M-EMS for grid-connected hybrid PV-BESS MG is verified using MATLAB/Simulink. Simulation results indicate the efficiency and effectiveness of the proposed method for understudy case.
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Conference Title
ANZCC 2018 - 2018 Australian and New Zealand Control Conference
Subject
Electrical engineering
Electronics, sensors and digital hardware