Micro-grid connected/islanding operation based on wind and PV hybrid power system

Author(s):  
Zhao Dongmei ◽  
Zhang Nan ◽  
Liu Yanhua
2017 ◽  
Vol 105 ◽  
pp. 2201-2206 ◽  
Author(s):  
Jiyuan Zhang ◽  
Lei Huang ◽  
Jie Shu ◽  
Hao Wang ◽  
Jianning Ding

Energy ◽  
2020 ◽  
Vol 202 ◽  
pp. 117738 ◽  
Author(s):  
Marek Jaszczur ◽  
Qusay Hassan ◽  
Patryk Palej ◽  
Jasim Abdulateef

Author(s):  
Shailendra Singh ◽  
Rohit Kumar Verma ◽  
Ashish Kumar Shakya ◽  
Satyendra Pratap Singh

2019 ◽  
Vol 139 (4) ◽  
pp. 259-268
Author(s):  
Effat Jahan ◽  
Md. Rifat Hazari ◽  
Mohammad Abdul Mannan ◽  
Atsushi Umemura ◽  
Rion Takahashi ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1889 ◽  
Author(s):  
Nicu Bizon ◽  
Valentin Alexandru Stan ◽  
Angel Ciprian Cormos

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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