Fuzzy logic supervisor-based novel energy management strategy reflecting different virtual power plants

2022 ◽  
Vol 205 ◽  
pp. 107731
Author(s):  
Zineb Cabrane ◽  
Jonghoon Kim ◽  
Kisoo Yoo ◽  
Soo Hyoung Lee
2020 ◽  
Vol 11 (3) ◽  
pp. 643-649 ◽  
Author(s):  
Fatma El Zahraa Magdy ◽  
Doaa Khalil Ibrahim ◽  
Waheed Sabry

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2733 ◽  
Author(s):  
Roberto Tascioni ◽  
Alessia Arteconi ◽  
Luca Del Zotto ◽  
Luca Cioccolanti

Latent heat thermal energy storage (LHTES) systems allow us to effectively store and release the collected thermal energy from solar thermodynamic plants; however, room for improvements exists to increase their efficiency when in operation. For this reason, in this work, a smart management strategy of an innovative LHTES in a micro-scale concentrated solar combined heat and power plant is proposed and numerically investigated. The novel thermal storage system, as designed and built by the partners within the EU funded Innova MicroSolar project, is subdivided into six modules and consists of 3.8 tons of nitrate solar salt kNO3/NaNO3, whose melting temperature is in the range 216 ÷ 223 °C. In this study, the partitioning of the storage system on the performance of the integrated plant is evaluated by applying a smart energy management strategy based on a fuzzy logic approach. Compared to the single thermal energy storage (TES) configuration, the proposed strategy allows a reduction in storage thermal losses and improving of the plant’s overall efficiency especially in periods with limited solar irradiance. The yearly dynamic simulations carried out show that the electricity produced by the combined heat and power plant is increased by about 5%, while the defocus thermal losses in the solar plant are reduced by 30%.


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