PDF(1627 KB)
Multi Objective Optimization of Wind-Solar Hybrid Heat and Power Generation System in Frigid and High-Altitude Area
TAN Congqing ,WANG Zhiqi,CHEN Liuming,ZHAO Bin,XIE Baoqi
Distributed Energy ›› 2020, Vol. 5 ›› Issue (4) : 43-50.
PDF(1627 KB)
PDF(1627 KB)
Multi Objective Optimization of Wind-Solar Hybrid Heat and Power Generation System in Frigid and High-Altitude Area
In order to improve the comprehensive performance of wind-solar hybrid co-generation system for severely cold and high altitude regions, a capacity optimization model was established. A multi-objective optimization was performed using the Non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ) to maximize annual CO2 emission reduction, minimize system investment cost and loss of power supply probability. According to the annual sunshine and wind conditions in that area of Tibet, the capacity optimal design for wind-solar hybrid co-generation system was carried out using the non-dominated sorting genetic algorithm-Ⅱ(NSGA-II). The results show that the loss of power supply probability, investment cost and annual CO2 emission reduction are 4.6%, 162 000 ¥ and 95.4 t, respectively. The solar collector accounts for about 50% of the total investment, followed by the photovoltaic cell and battery. While, the investment of fan and heat storage tank is the least. Besides, the hourly loss of power supply probability is mainly concentrated in the period of low outdoor temperature. The multi-objective optimization can balance the requirements of economy, reliability and environment for wind-solar hybrid co-generation system, which verifies the effectiveness of this method. It provides theoretical guidance for the optimal design of the wind-solar hybrid co-generation system in severely cold and high altitude regions.
wind-solar hybrid complementary / co-generation / capacity configuration / multi-objective optimization
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