Hydrogen energy storage for a permanent magnet wind turbine generator based autonomous hybrid power system

2011 ◽  
Author(s):  
Nishad Mendis ◽  
Saad Sayeef ◽  
Kashem M. Muttaqi ◽  
Sarath Perera
Keyword(s):  
Energy Storage ◽  
Power System ◽  
Wind Turbine ◽  
Permanent Magnet ◽  
Hydrogen Energy ◽  
Turbine Generator ◽  
Hybrid Power System ◽  
Wind Turbine Generator ◽  
Hybrid Power

A Supervisory Power Flow Controller for a Hybrid Power System

2015 ◽  
Vol 789-790 ◽  
pp. 353-361
Author(s):  
Abderrahmane Ouadi ◽  
Hamid Bentarzi
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Power System ◽  
Wind Turbine ◽  
Power Flow ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Load Demand ◽  
Flow Controller ◽  
Power Flow Controller

Hybrid power system presented in this work focuses on the combination of wind, solar, and energy storing systems for sustainable power generation. The output power of wind turbine is only available under a specific speed or higher. The solar energy varies hourly, daily and seasonally which depends on variation of solar irradiation. A generator-set with a battery bank can be integrated with the wind and PV-system to ensure the continuity of power supply for all conditions.The paper aims to model and simulate the transient and steady state behavior of a Solar-Wind hybrid power generation system together with energy storage bank. Besides, a supervisory power flow controller has been developed which determines a power source that is selected to operate in order to satisfy the load demand taking into account the sun irradiance and the wind speed. The energy storage bank may be used to store an excess of power from the renewable energy system (RES) that will be used when there is insufficient supplied power. If either the available power from the wind turbine or from the solar panels or both of them cannot satisfy the load demand the generator set system will be used to satisfy the load demand. The functionality of the presented Hybrid Power System has been successfully designed and simulated using Matlab/Simulink tool.

Ground Tests of Hybrid Electric Power System for UAVs

2013 ◽  
Vol 448-453 ◽  
pp. 2326-2334 ◽  
Author(s):  
Yan Ping Li ◽  
Li Liu ◽  
Xiao Hui Zhang ◽  
Shang Tao Shi ◽  
Chang Wei Guo
Keyword(s):  
Power System ◽  
Lithium Batteries ◽  
Test System ◽  
Electric Power System ◽  
Hydrogen Energy ◽  
Power Sources ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Power Management Unit ◽  
The Mathematical Model

As the aviation has realized the seriousness of pollution and emission issues, people have taken efforts to use renewable energy on planes or UAVs. This paper focused on the applications of solar and hydrogen energy to UAVs. A hybrid power system, consisting of solar cells, fuel cells and lithium batteries, was discussed. To achieve the hybridization of power sources, a prototype of a power management unit (PMU) was fabricated. After the installation of a test system for synthesizing power sources, PMU and load, a series of ground tests were executed to verify the mathematical model of lithium battery and the reliability of the hardware. Ground data confirmed the feasibility of hybrid power system.

scholarly journals The Capacity Optimization of Wind-Photovoltaic-Thermal Energy Storage Hybrid Power System

2019 ◽  
Vol 118 ◽  
pp. 02054
Author(s):  
Jingli Li ◽  
Wannian Qi ◽  
Jun Yang ◽  
Yi He ◽  
Jingru Luo ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power System ◽  
Thermal Energy ◽  
Thermal Energy Storage ◽  
Electric Heater ◽  
Transmission Channel ◽  
Capacity Optimization ◽  
Hybrid Power System ◽  
Hybrid Power

This paper proposes a Wind-Photovoltaic-Thermal Energy Storage hybrid power system with an electric heater. The proposed system consists of wind subsystem, photovoltaic subsystem, electric heater, thermal energy storage and steam turbine unit. The electric heater is used to convert the redundant electricity from wind or photovoltaic subsystem into heat, which is stored in thermal energy storage. When the system output is less than the load demand, thermal energy storage system releases heat to generate electricity. In this paper, the optimal objective is to minimize the levelized cost of energy and maximize the utilization rates of renewable energy and transmission channel. The fitness function is compiled according to the scheduling strategy, and the capacity optimization problem is solved by particle swarm optimization algorithm in MATLAB. The case analysis show that the proposed system can effectively increase the utilization rate of renewable energy and transmission channel.

scholarly journals Sizing and Simulation of PV-Wind Hybrid Power System

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Mustafa Engin
Keyword(s):  
Power System ◽  
Wind Turbine ◽  
Hybrid System ◽  
Operating Conditions ◽  
Renewable Energy Resources ◽  
Average Wind Speed ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Battery Capacity ◽  
Yearly Average

A sizing procedure is developed for hybrid system with the aid of mathematical models for photovoltaic cell, wind turbine, and battery that are readily present in the literature. This sizing procedure can simulate the annual performance of different kinds of photovoltaic-wind hybrid power system structures for an identified set of renewable resources, which fulfills technical limitations with the lowest energy cost. The output of the program will display the performance of the system during the year, the total cost of the system, and the best size for the PV-generator, wind generator, and battery capacity. Security lightning application is selected, whereas system performance data and environmental operating conditions are measured and stored. This hybrid system, which includes a PV, wind turbine, inverter, and a battery, was installed to supply energy to 24 W lamps, considering that the renewable energy resources of this site where the system was installed were 1700 Wh/m2/day solar radiation and 3.43 m/s yearly average wind speed. Using the measured variables, the inverter and charge regulator efficiencies were calculated as 90% and 98%, respectively, and the overall system’s electrical efficiency is calculated as 72%. Life cycle costs per kWh are found to be $0.89 and LLP = 0.0428.

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