Profitability Analysis of Residential Wind Turbines with Battery Energy Storage

2014 ◽  
pp. 439-448
Author(s):  
Ying She ◽  
Ergin Erdem ◽  
Jing Shi
Keyword(s):  
Energy Storage ◽  
Wind Turbines ◽  
Battery Energy Storage ◽  
Profitability Analysis ◽  
Battery Energy

scholarly journals NSGA-II and MOPSO based optimization for sizing of hybrid PV/wind/battery energy storage system

2019 ◽  
Vol 10 (1) ◽  
pp. 463 ◽  
Author(s):  
Mohamed Izdin Hlal ◽  
Vigna K. Ramachandaramurthya ◽  
Sanjeevikumar Padmanaban ◽  
Hamid Reza Kaboli ◽  
Aref Pouryekta ◽  
...  
Keyword(s):  
Energy Storage ◽  
Wind Turbines ◽  
Energy System ◽  
Weather Data ◽  
Optimum Number ◽  
Economic Optimization ◽  
Nsga Ii ◽  
Battery Energy Storage ◽  
Hybrid Renewable Energy System ◽  
Battery Energy

<span lang="MS">This paper presents a Stand-alone Hybrid Renewable Energy System (SHRES) as an alternative to fossil fuel based generators. The Photovoltaic (PV) panels and wind turbines (WT) are designed for the Malaysian low wind speed conditions with battery Energy Storage (BES) to provide electric power to the load. The appropriate sizing of each component was accomplished using Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) techniques. The optimized hybrid system was examined in MATLAB using two case studies to find the optimum number of PV panels, wind turbines system and BES that minimizes the Loss of Power Supply Probability (LPSP) and Cost of Energy (COE). The hybrid power system was connected to the AC bus to investigate the system performance in supplying a rural settlement. Real weather data at the location of interest was utilized in this paper. The results obtained from the two scenarios were used to compare the suitability of the NSGA-II and MOPSO methods. The NSGA-II method is shown to be more accurate whereas the MOPSO method is faster in executing the optimization. Hence, both these methods can be used for techno-economic optimization of SHRES. </span>

Study of Efficiency of Battery Energy Storage System

2016 ◽  
Vol 136 (11) ◽  
pp. 824-832 ◽  
Author(s):  
Mami Mizutani ◽  
Takenori Kobayashi ◽  
Katsunori Watabe ◽  
Tomoki Wada
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy
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