Optimal Sizing of a Wind/Solar/Battery Hybrid Microgrid System Using the Forever Power Method

Author(s):  
Sami Hamed Alalwan ◽  
Jonathan W. Kimball
2013 ◽  
Vol 4 (3) ◽  
pp. 774-785 ◽  
Author(s):  
Lin Xu ◽  
Xinbo Ruan ◽  
Chengxiong Mao ◽  
Buhan Zhang ◽  
Yi Luo

2017 ◽  
Vol 12 (1) ◽  
pp. 72-80 ◽  
Author(s):  
Umer Akram ◽  
Muhammad Khalid ◽  
Saifullah Shafiq

2013 ◽  
Vol 860-863 ◽  
pp. 271-274 ◽  
Author(s):  
Cheng Li ◽  
Xiu Yang ◽  
Mei Xia Zhang ◽  
Chen Zhao Fu ◽  
Hai Bo Wang

For the optimal sizing problem of solar-wind-diesel-battery hybrid microgrid, the economic model of optimal sizing was built with the objective that takes daily costs of equipment, operation and maintenance, fuels, environment protection into account. Meanwhile the blackout penalty fee and wasted energy penalty fee also are included in the economic model. The optimal capacity configurations of different power sources in the system were solved by genetic algorithm under optimal investment condition and considering constraints of the reliability of power supply, the complementary of wind and solar, battery charge and discharge times. The reasonableness of the proposed models is verified by case study results.


Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6655
Author(s):  
Ning Zhang ◽  
Nien-Che Yang ◽  
Jian-Hong Liu

Power system scheduling of renewable energy sources has been studied extensively due to the severe increase in pollution caused by conventional energy sources. In this study, a multi-objective scheduling model of a hybrid microgrid is proposed to minimize the cost of hybrid microgrids and maximize the power supply reliability. The main power generation units such as the wind turbines, photovoltaic (PV) cells, and battery banks are used in this hybrid microgrid. In this study, the optimal sizing of PV panels and battery banks are obtained using multi-objective particle swarm optimization (MOPSO) for the proposed multi-objective scheduling model. The lifetime of battery banks is considered in the energy storage system (ESS) model. Finally, the practicality of the scheduling model proposed in this study is verified by four examples.


2021 ◽  
Vol 13 (22) ◽  
pp. 12734
Author(s):  
Md. Fatin Ishraque ◽  
Sk. A. Shezan ◽  
Md. Sohel Rana ◽  
S. M. Muyeen ◽  
Akhlaqur Rahman ◽  
...  

This paper presents an evaluation of the optimized design of an off-grid hybrid microgrid for alternative load dispatch algorithms with the determination of the most optimal sizing of each equipment, analyzing the voltage and frequency outputs and various costs of the proposed microgrids. Kushighat and Rajendro Bazar, two geographical locations in Bangladesh have been taken as test sites. The proposed microgrids incorporating diesel generator, renewable resources, storage device, and 23.31 kW of demand have been optimized for five conventional load dispatch methodologies: HOMER predictive dispatch, Load Following, Generator Order, Cycle Charging, and Combined Dispatch to reduce the system’s net present cost, gas discharge and cost of energy. HOMER (Hybrid Optimization of Multiple Electric Renewables) software has been used for the analysis to determine the optimal sizes and costing and the voltage-frequency performances of the microgrids are analyzed using MATLAB/Simulink. From our analysis, load following is determined as the superior approach with a minimum operating cost of 3738 USD, net present cost of 152,023 USD, CO2 discharge of 3375 kg/year and cost of energy of 0.208 USD /kWh along with a steady voltage-frequency output. Combined dispatch is determined as the worst strategy for the proposed microgrids with the highest energy cost of 0.532 USD /kWh, the operational cost of 15,394 USD, net present cost of 415,030 USD, and high CO2 discharge. At the end of this work, a comparative analysis between the proposed design, another hybrid, and traditional generation plant is also presented. The findings of this work will be appropriate for any location with an identical demand profile and meteorological estate.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 119223-119245 ◽  
Author(s):  
Ahmed A. Zaki Diab ◽  
Hamdy M. Sultan ◽  
Ihab S. Mohamed ◽  
Oleg N. Kuznetsov ◽  
Ton Duc Do

2021 ◽  
pp. 100048
Author(s):  
Andrea Monforti Ferrario ◽  
Andrea Bartolini ◽  
Francisca Segura Manzano ◽  
Francisco José Vivas ◽  
Gabriele Comodi ◽  
...  

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