scholarly journals Photovoltaic Integrated Hybrid Microgrid Structured Electric Vehicle Charging Station and Its Energy Management Approach

Energies ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 168 ◽  
Author(s):  
Dominic A. Savio ◽  
Vimala A. Juliet ◽  
Bharatiraja Chokkalingam ◽  
Sanjeevikumar Padmanaban ◽  
Jens Bo Holm-Nielsen ◽  
...  
Keyword(s):  
Energy Management ◽  
Management Strategy ◽  
Renewable Energy Sources ◽  
Constant Current ◽  
Management Approach ◽  
Energy Management Strategy ◽  
Storage Unit ◽  
Charging Station ◽  
Hybrid Microgrid ◽  
Utility Grid

A hybrid microgrid-powered charging station reduces transmission losses with better power flow control in the modern power system. However, the uncoordinated charging of battery electric vehicles (BEVs) with the hybrid microgrid results in ineffective utilization of the renewable energy sources connected to the charging station. Furthermore, planned development of upcoming charging stations includes a multiport charging facility, which will cause overloading of the utility grid. The paper analyzes the following technical issues: (1) the energy management strategy and converter control of multiport BEV charging from a photovoltaic (PV) source and its effective utilization; (2) maintenance of the DC bus voltage irrespective of the utility grid overloading, which is caused by either local load or the meagerness of PV power through its energy storage unit (ESU). In addition, the charge controller provides closed loop charging through constant current and voltage, and this reduces the charging time. The aim of an energy management strategy is to minimize the usage of utility grid power and store PV power when the vehicle is not connected for charging. The proposed energy management strategy (EMS) was modeled and simulated using MATLAB/Simulink, and its different modes of operation were verified. A laboratory-scale experimental prototype was also developed, and the performance of the proposed charging station was investigated.

Energy Management System Research for Wind-PV-ES Hybrid Microgrid Based on Storage Battery

2013 ◽  
Vol 660 ◽  
pp. 139-145
Author(s):  
Lei Xue ◽  
Li Bin Wang ◽  
Zhi Gang Wang ◽  
Shu Ying Li
Keyword(s):  
Energy Management ◽  
Management Strategy ◽  
Mode Switching ◽  
Storage Battery ◽  
Energy Management Strategy ◽  
Hybrid Energy ◽  
Hybrid Microgrid ◽  
Flow Charts ◽  
Micro Grid ◽  
Bus Voltage

Energy management strategy is important to keep microgrid stable. In this paper, energy management strategy of Wind-PV-ES hybrid microgrid is proposed. Due to the power output of wind and PV are unknown quantities, the key point of Wind-PV-ES hybrid energy management lies in the energy management of storage battery. The flow charts of energy management strategy are given in detail and Wind-PV-ES microgrid model is built with DigSILENT/PowerFactory. Then the transition state simulation as to the micro-grid mode switching process is carried out. The result shows that the proposed energy management strategy could keep connected bus voltage and micro-grid frequency stable in grid-connected mode, islanding mode and during micro-grid mode switching.

scholarly journals Optimal Energy Management Strategy for a DC Linked Hydro–PV–Wind Renewable Energy System for Hydroelectric Power Generation Optimization

2021 ◽  
Vol 1 (3) ◽  
pp. 9-18
Author(s):  
Adel Elgammal ◽  
Curtis Boodoo
Keyword(s):  
Energy Management ◽  
Energy Demand ◽  
Management Strategy ◽  
Power Plants ◽  
Energy System ◽  
Management Approach ◽  
Power Demand ◽  
Hydroelectric Power ◽  
Diesel Generator ◽  
Energy Management Strategy

The goal of this article is to create an intelligent energy management system that will control the stand-alone microgrid and power flow of a grid associated that includes Battery Energy Storage System, Fuel Cell, Wind Turbine, Diesel Generator, Photovoltaic, and a Hydro Power Plant. Storage systems are required for high dependability, while control systems are required for the system's optimum and steady functioning. The control, operation, and planning of both energy demand and production are all part of energy management. By controlling unpredictable power and providing an appropriate control algorithm for the entire system, the suggested energy management strategy is designed to handle diverse variations in power demand and supply. Under the TOU Tariff, the problem is presented as a discrete time multi-objective optimization method to minimize grid imported energy costs. It also maximizes earnings from surplus RE sales to the grid at a pre-determined RE feed-in tariff. Simulations were run using SIMULINK/MATLAB to validate and evaluate the suggested energy management approach under various power demand and power supply scenarios. The simulations indicate that the proposed energy management can fulfill demand at all times utilizing unreliable renewables like wind, solar, and hydroelectric power plants, as well as hydrogen fuel cells and batteries, without affecting load supply or power quality.

scholarly journals Fuzzy Logic Based Energy Controlling Strategy for Isolated Wind-PV Hybrid System

2020 ◽  
Vol 9 (3) ◽  
pp. 780-783
Keyword(s):  
Fuzzy Logic ◽  
Energy Management ◽  
Management Strategy ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Wind System ◽  
Energy Management Strategy ◽  
Point Tracking ◽  
Fuzzy Logic Approach ◽  
Power Point

The paper proposes a fuzzy logic based energy management strategy for isolated hybrid PV-Wind system. This PV-Wind system comprises of 500 W photovoltaic (PV) systems and 600 W permanent magnet based alternator for conversion of wind energy. A step down converter is connected to the system in order to charge the 48V battery electric storage system (BESS). The load of 1 kW system is supplied with the 1.1 kW hybrid systems. The renewable energy sources are intermittent in nature and hence BESS system is used to support the load when there is shortage of energy generated. To optimize the output voltage of the fuzzy logic approach based maximum power point tracking (MPPT) method is employed which is also utilized for the energy management strategy. The proposed topology is modeled and simulated using mathworks tool MATLAB/Simulink and its performance is evaluated.

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