Design of a voting based smart energy management system of the renewable energy based hybrid energy system for a small community

Energy ◽  
2021 ◽  
Vol 214 ◽  
pp. 118977
Author(s):  
Somudeep Bhattacharjee ◽  
Champa Nandi
2021 ◽  
Vol 56 (5) ◽  
pp. 798-804
Author(s):  
Jongdoc Park ◽  
Eisaku Oikawa ◽  
Masumi Fukuma ◽  
Hiroyuki Nagai ◽  
Toshihiro Tsutsui

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3268
Author(s):  
Mehdi Dhifli ◽  
Abderezak Lashab ◽  
Josep M. Guerrero ◽  
Abdullah Abusorrah ◽  
Yusuf A. Al-Turki ◽  
...  

This paper proposes an enhanced energy management system (EEMS) for a residential AC microgrid. The renewable energy-based AC microgrid with hybrid energy storage is broken down into three distinct parts: a photovoltaic (PV) array as a green energy source, a battery (BT) and a supercapacitor (SC) as a hybrid energy storage system (HESS), and apartments and electric vehicles, given that the system is for residential areas. The developed EEMS ensures the optimal use of the PV arrays’ production, aiming to decrease electricity bills while reducing fast power changes in the battery, which increases the reliability of the system, since the battery undergoes fewer charging/discharging cycles. The proposed EEMS is a hybrid control strategy, which is composed of two stages: a state machine (SM) control to ensure the optimal operation of the battery, and an operating mode (OM) for the best operation of the SC. The obtained results show that the EEMS successfully involves SC during fast load and PV generation changes by decreasing the number of BT charging/discharging cycles, which significantly increases the system’s life span. Moreover, power loss is decreased during passing clouds phases by decreasing the power error between the extracted power by the sources and the required equivalent; the improvement in efficiency reaches 9.5%.


Renewable energy (RE) is currently being used on a wide scale to meet the rising demand for energy, minimise pollution in environmental, and achieve sustainable social and economic benefits. This paper focuses on the design and development of EMS that can ensure the safe operation of island microgrids (MGs) in the event of possible imbalances between load demand and power generation. Energy management system (EMS) performs optimized calculations for the low priority loads that need to be shut down and the charging and discharging cycle of the batteries in the microgrid (MG). The non-linear model predictive control (NMPC) algorithm was selected to implement energy management system, which processes a data set consisting of power generation, load measurement, battery state of charge (SOC), and set of operating constraints. Energy management system was designed under assumption of installing Advanced Metering Infrastructure (AMI) in MG. Energy management system (EMS) was tested on a simulation platform that integrates a model of the microgrid (MG) component and its distributed controller (DC). The simulation results demonstrate the effectiveness of this method, because even when there is a fault in one of the distributed controllers, key variables such as the voltage and frequency amplitude of the microgrid (MG) will operate within a secured interval.


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