Power system dynamic behavior with large scale solar energy integration

Author(s):  
Ayman Hoballah
2020 ◽  
Vol 29 ◽  
pp. 100482 ◽  
Author(s):  
Partha Das ◽  
Parul Mathuria ◽  
Rohit Bhakar ◽  
Jyotirmay Mathur ◽  
Amit Kanudia ◽  
...  

2018 ◽  
Vol 147 ◽  
pp. 130-136 ◽  
Author(s):  
Anrijs Tukulis ◽  
Ieva Pakere ◽  
Armands Gravelsins ◽  
Dagnija Blumberga

Author(s):  
Awan Uji Krismanto ◽  
Herlambang Setiadi

Large-scale renewable energy integration involving large scale PV plant is becoming popular in the last decade due to global warming and climate change. PV plant offers clean and environmentally friendly electricity. However, PV plant also provides unwanted impact in term of frequency stability. Hence appropriate, load frequency control due to the integration of PV plant is inevitable. This paper proposed an intelligent approach based on a differential evolutional algorithm (DEA) to optimize the control parameters of load frequency control (LFC) device. Time domain simulation was carried out to analyses, the frequency nadir of the system. The simulation results suggested that a significant enhancement of system dynamic behavior was monitored when the control parameters of LFC were optimized using the proposed DEA. Moreover, the proposed algorithm provided a promising result to improve system dynamic response in the system with high penetration of PV power plant.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Qian Zhang ◽  
Qijie Liang ◽  
Dilip Krishna Nandakumar ◽  
Hao Qu ◽  
Qiongfeng Shi ◽  
...  

AbstractHybrid energy-harvesting systems that capture both wave and solar energy from the oceans using triboelectric nanogenerators and photovoltaic cells are promising renewable energy solutions. However, ubiquitous shadows cast from moving objects in these systems are undesirable as they degrade the performance of the photovoltaic cells. Here we report a shadow-tribo-effect nanogenerator that hybrids tribo-effect and shadow-effect together to overcome this issue. Several fiber-supercapacitors are integrated with the shadow-tribo-effect nanogenerator to form a self-charging power system. To capture and store wave/solar energy from oceans, an energy ball based on the self-charging power system is demonstrated. By harnessing the shadow-effect, i.e. the shadow of the moving object in the energy ball, the charging time shortens to 253.3 s to charge the fiber-supercapacitors to the same voltage (0.3 V) as using pure tribo-effect. This cost-effective method to harvest and store the wave/solar energy from the oceans in this work is expected to inspire next-generation large-scale blue energy harvesting.


Author(s):  
Panagiotis N. Papadopoulos ◽  
Jovica V. Milanovic ◽  
Pratyasa Bhui ◽  
Nilanjan Senroy

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