Hybrid power generation system of solar energy and fuel cells

2016 ◽  
Vol 40 (6) ◽  
pp. 717-725 ◽  
Author(s):  
Yuzheng Lu ◽  
Bin Zhu ◽  
Jun Wang ◽  
Yaoming Zhang ◽  
Junjiao Li
Keyword(s):  
Power Generation ◽  
Fuel Cells ◽  
Solar Energy ◽  
Generation System ◽  
Hybrid Power ◽  
Power Generation System

scholarly journals Metaheuristic searching genetic algorithm based reliability assessment of hybrid power generation system

2020 ◽  
pp. 014459872095974
Author(s):  
Ahmed N Abdalla ◽  
Muhammad Shahzad Nazir ◽  
MingXin Jiang ◽  
Athraa Ali Kadhem ◽  
Noor Izzri Abdul Wahab ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Solar Energy ◽  
Computation Time ◽  
Test System ◽  
Optimization Approach ◽  
Generation System ◽  
Power Sources ◽  
Hybrid Power ◽  
Power Generation System

Generating systems are known as adequately reliable when satisfying the load demand. Meanwhile, the efficiency of electrical systems is currently being more influenced by the growing adoption of the Wind/Solar energy in power systems compared to other conventional power sources. This paper proposed a new optimization approach called Metaheuristic Scanning Genetic Algorithm (MSGA) for the evaluation of the efficiency of power generating systems. The MSGA is based on a combination of metaheuristic scanning and Genetic Algorithm. The MSGA technique is used for evaluating the reliability and adequacy of generation systems integrated with wind/Solar energy is developed. The usefulness of the proposed algorithm was tested using Reliability Test System ‘IEEE-RTS-79’ which include both of wind power and solar power generation. The result approve the effectiveness of the proposed algorithm in improving the computation time by 85% and 2% in comparison with the particle swarm optimization (PSO) and differential evolution optimization algorithm (DEOA) respectively. In addition, the proposed model can be used to test the power capacity forecasting scheme of the hybrid power generation system with the wind, solar and storage.

scholarly journals Exploring the Regulation Reliability of a Pumped Storage Power Plant in a Wind–Solar Hybrid Power Generation System

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2548
Author(s):  
Beibei Xu ◽  
Jingjing Zhang ◽  
Mònica Egusquiza ◽  
Junzhi Zhang ◽  
Diyi Chen ◽  
...  
Keyword(s):  
Power Generation ◽  
Solar Energy ◽  
Settling Time ◽  
Peak Time ◽  
Generation System ◽  
Hybrid Power ◽  
Power Fluctuations ◽  
Power Generation System ◽  
Pumped Storage ◽  
Peak Value

In the coming decades, the proportion of wind–solar energy in power system significantly increases, resulting to uncertainties of power fluctuation in abundant wind–solar energy regions. The flexibility operation of Pumped Storage Power Plants (PSPPs) has already been widely recognized to regulate wind–solar power fluctuations; however, less is known about the regulation reliability of the PSPP affected by them. It is a challenge, since various uncertainties exist during this regulation process. Here, a mathematical model with a solar–wind–hydro hybrid power generation system is adopted to investigate the regulation reliability of PSPP. The uncertainties and limitations of model parameters are considered during this process. Five regulation indexes, i.e., rise time, settling time, peak value, peak time and overshoot of the reactive power generator terminal voltage, guide vane opening and angular velocity, are extracted to evaluate the PSSP’s regulation quality. Finally, the PSPP reliability probability affected by parametric uncertainties is presented. The obtained results show that the inertia coefficient is the most sensitivity parameters for the settling time, peak value and peak time with sensitivity index 33.7%, 72.55% and 71.59%, respectively. The corresponding total contribution rate of the top 10 sensitive parameters are 74.45%, 93.45% and 87.15%, respectively. Despite some types of uncertainties not being considered, the results of this research are important for the regulation reliability evaluation of PSPPs in suppressing power fluctuations of wind and solar generation.

An operating method using prediction of photovoltaic power for a photovoltaic-diesel hybrid power generation system

2005 ◽  
Vol 151 (3) ◽  
pp. 8-18 ◽  
Author(s):  
Shigehiro Yamamoto ◽  
Kazuyoshi Sumi ◽  
Eiichi Nishikawa ◽  
Takeshi Hashimoto
Keyword(s):  
Power Generation ◽  
Generation System ◽  
Hybrid Power ◽  
Photovoltaic Power ◽  
Power Generation System ◽  
Operating Method
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