Small Scale Standalone Solar and Tidal Hybrid Power System in Isolated Area

2021 ◽  
Author(s):  
Cassandra Abdullah ◽  
Hazilah Mad Kaidi ◽  
Shamsul Sarip ◽  
Noraimi Shafie
Keyword(s):  
Power System ◽  
Small Scale ◽  
Hybrid Power System ◽  
Hybrid Power

Small-scale test bench of a hybrid power system

2005 ◽  
Author(s):  
O. Curea ◽  
I. Vechiu ◽  
D. Marin ◽  
H. Camblong ◽  
B. Dakyo
Keyword(s):  
Power System ◽  
Test Bench ◽  
Small Scale ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Scale Test

scholarly journals Optimal sizing and cost analysis of hybrid power system for a stand-alone application in Coimbatore region: a case study

2015 ◽  
Vol 64 (1) ◽  
pp. 139-155 ◽  
Author(s):  
T. Bogaraj ◽  
J. Kanakaraj ◽  
K. Mohan Kumar
Keyword(s):  
Power System ◽  
Tamil Nadu ◽  
Low Cost ◽  
Energy System ◽  
Small Scale ◽  
Hybrid Power System ◽  
Optimal Sizing ◽  
Hybrid Energy ◽  
Hybrid Power ◽  
Cost Of Energy

Abstract This paper presents the optimal sizing of PV/Wind/Fuel Cell/Battery Hybrid Energy System for energizing a Small Scale Industrial Application or a village domestic load of 200 kW. HOMER software is used for simulation of the complete system. The solar radiation data and wind speed data used in this paper are for the place of Coimbatore, Tamil Nadu, India which is located 11.0183° N longitude and 76.9725° E latitude. The optimized sizes of components of Hybrid Power System (HPS) are found based on Levelised Cost of Energy (LCE) and total Net Present Cost (NPC). The results are presented and compared for five different combinations of HPS components. Suggestions are also presented to choose the low cost system which produces energy at low LCE.

Damping of Frequency Fluctuations of Hybrid Power System by Variable Deloaded Operation of PMSG Based Offshore Wind Farm

2019 ◽  
Vol 139 (4) ◽  
pp. 259-268
Author(s):  
Effat Jahan ◽  
Md. Rifat Hazari ◽  
Mohammad Abdul Mannan ◽  
Atsushi Umemura ◽  
Rion Takahashi ◽  
...  
Keyword(s):  
Power System ◽  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Frequency Fluctuations

scholarly journals Optimization of the Fuel Cell Renewable Hybrid Power System Using the Control Mode of the Required Load Power on the DC Bus

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1889 ◽  
Author(s):  
Nicu Bizon ◽  
Valentin Alexandru Stan ◽  
Angel Ciprian Cormos
Keyword(s):  
Energy Source ◽  
Fuel Cell ◽  
Power System ◽  
Control Mode ◽  
Variable Load ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Load Power ◽  
Load Demand ◽  
Dc Bus

In this paper, a systematic analysis of seven control topologies is performed, based on three possible control variables of the power generated by the Fuel Cell (FC) system: the reference input of the controller for the FC boost converter, and the two reference inputs used by the air regulator and the fuel regulator. The FC system will generate power based on the Required-Power-Following (RPF) control mode in order to ensure the load demand, operating as the main energy source in an FC hybrid power system. The FC system will operate as a backup energy source in an FC renewable Hybrid Power System (by ensuring the lack of power on the DC bus, which is given by the load power minus the renewable power). Thus, power requested from the batteries’ stack will be almost zero during operation of the FC hybrid power system based on RPF-control mode. If the FC hybrid power system operates with a variable load demand, then the lack or excess of power on the DC bus will be dynamically ensured by the hybrid battery/ultracapacitor energy storage system for a safe transition of the FC system under the RPF-control mode. The RPF-control mode will ensure a fair comparison of the seven control topologies based on the same optimization function to improve the fuel savings. The main objective of this paper is to compare the fuel economy obtained by using each strategy under different load cycles in order to identify which is the best strategy operating across entire loading or the best switching strategy using two strategies: one strategy for high load and the other on the rest of the load range. Based on the preliminary results, the fuel consumption using these best strategies can be reduced by more than 15%, compared to commercial strategies.

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