scholarly journals A Comparison of Energy Management System for a DC Microgrid

2020 ◽  
Vol 10 (3) ◽  
pp. 1071
Author(s):  
Luis O. Polanco Vásquez ◽  
Víctor M. Ramírez ◽  
Kary Thanapalan
Keyword(s):  
Energy Management ◽  
Management System ◽  
Energy Optimization ◽  
Optimization Methods ◽  
Power Converter ◽  
Energy Management System ◽  
Dc Microgrid ◽  
Photovoltaic Panel ◽  
Energy Flows ◽  
Efficiency And Effectiveness

This paper investigates the analysis of the energy management system for a DC microgrid. The microgrid consists of a photovoltaic panel and a batteries system that is connected to the microgrid through a bidirectional power converter. The optimization problem is solved by the hybrid internal point method with the genetic algorithms method and particle swarm optimization (PSO) method, by considering forecasting demand and generation for all the elements of the microgrid. The analysis includes a comparison of energy optimization of the microgrid for solar radiation data from two areas of the world and a comparison the efficiency and effectiveness of optimization methods. The efficiency of the algorithm for energy optimization is verified and analyzed through experimental data. The results obtained show that the optimization algorithm can intelligently handle the energy flows to store the largest amount in the batteries and thus have the least amount of charge and discharge cycles for the battery and prolong the useful life.

scholarly journals Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill

2017 ◽  
Vol 18 (3) ◽  
Author(s):  
R. K. Chauhan ◽  
B. S. Rajpurohit ◽  
L. Wang ◽  
F. M. Gonzalez Longatt ◽  
S. N. Singh
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Management System ◽  
Scheduling Algorithm ◽  
Electricity Price ◽  
Public Utility ◽  
Energy Management System ◽  
Dc Microgrid ◽  
Load Scheduling ◽  
Cost Of Energy

AbstractThis paper presents a real time price based energy management system for DC microgrid. The DC distribution system is considered as a prospective system according to the increase of DC loads and DC output type distribution energy resources (DERs) such as photovoltaic (PV) systems, battery bank (BB), and hybrid car (HC). The control objective is to achieve the optimal cost of energy. The proposed control scheme is developed based on the source as well as load scheduling of the DC microgrid. The source scheduling algorithm is based on the selection of cheapest power source to supply the load of DC microgrid and achieve the optimal electricity price. The BB and HC charges in regular hours at the less electricity price to supply the future load during the higher electricity price of the public utility. The load scheduling algorithm shifts the deferrable load of the building from peak hours to the regular hours to obtain the lowest cost of energy for the building. The proposed scheme significantly decreases the peak demand, which is the main cause of load shedding. Dynamic simulation is presented to access the control performance with price fluctuations and robustness of the system.

scholarly journals Design and Implementation of an Energy-Management System for a Grid-Connected Residential DC Microgrid

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4074
Author(s):  
Alfredo Padilla-Medina ◽  
Francisco Perez-Pinal ◽  
Alonso Jimenez-Garibay ◽  
Antonio Vazquez-Lopez ◽  
Juan Martinez-Nolasco
Keyword(s):  
Energy Management ◽  
Management System ◽  
Operation Mode ◽  
Maximum Energy ◽  
Energy Management System ◽  
Dc Microgrid ◽  
Design And Implementation ◽  
Operation Modes ◽  
Dc Bus ◽  
Bus Voltage

The design and implementation of an energy-management system (EMS) applied to a residential direct current microgrid (DC-µG) is presented in this work. The proposed residential DC-µG is designed to provide a maximum power of one kilowatt by using two photovoltaic arrays (PAs) of 500 W, a battery bank (BB) of 120 V–115 Ah, a supercapacitor module of 0.230 F and a bidirectional DC–AC converter linked to the AC main grid (MG). The EMS works as a centralized manager and it defines the working operation mode for each section of the DC-µG. The operation modes are based on: (1) the DC-link bus voltage, (2) the generated or demanded power to each section of the DC-µG and (3) the BB’s state of charge. The proposed EMS—during the several working operation modes and at the same time—can obtain the maximum energy from the PAs, reduce the energy consumption from the main grid and keep the DC-link bus voltage inside a range of 190 V ± 5%. The EMS and local controllers are implemented by using LabVIEW and NI myRIO-1900 platforms. Moreover, experimental results during connection and disconnection of each DC-µG sections and different on-the-fly transitions are reported, these results focus on the behavior of the DC bus, which shows the DC bus robustness and stability. The robustness of the DC-µG is demonstrated by maintaining a balance of energy between the sources and loads connected to the DC bus under different scenarios.

Sign in / Sign up

Export Citation Format

Share Document