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Optimal eco‐emission scheduling of the reconfigurable solar farm‐based combined hydrogen, heat, and power (RSF‐CHHP).
- Source :
-
IET Generation, Transmission & Distribution (Wiley-Blackwell) . Sep2024, Vol. 18 Issue 17, p2761-2775. 15p. - Publication Year :
- 2024
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Abstract
- Combined hydrogen, heat, and power (CHHP) is the cogeneration unit simultaneously meeting hydrogen, heat, and power demands. Due to the low efficiency of the electrolyser, the main grid or other generation units supply its input power. Herein, the photovoltaic farm's (PV farm) output power is used as the input power of the electrolyser. Optimal economic and emission scheduling of CHHP‐based microgrid (CHHP_MG) is defined as an objective function. To improve system efficiency, the scheduling problem is done in two cases, reconfigured SP‐PV farm and conventional SP‐PV farm. To optimal management of both demand and generation sides, a time of use (TOU) based demand response program is employed in the proposed short‐term study. To have a comprehensive study, the optimum solar panel tilt angle is calculated, and its impacts on the main function are analysed. Multi‐objective genetic algorithm is used to solve optimization problems. By solving the objective function, the obtained values for profit and pollution amount are 620$ and 69,245.78 gr, respectively. By applying the load response program, the mentioned values are changed to 715.132$ and 6872.5 gr. Since the input power is supplied through solar panels, the placement angle of the panels is very important and with the optimal setting of the placement angle, the values change to 780$ and 6825.3 gr. The main contributions of this work are optimal reconfigurable PV farm, evaluating the impacts of reconfiguring the efficiency of CHHP, employing the DR program on the scheduling of RSF‐CHHP, and analysing the role of tilt angle in the scheduling of RSF‐CHHP. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17518687
- Volume :
- 18
- Issue :
- 17
- Database :
- Academic Search Index
- Journal :
- IET Generation, Transmission & Distribution (Wiley-Blackwell)
- Publication Type :
- Academic Journal
- Accession number :
- 179393379
- Full Text :
- https://doi.org/10.1049/gtd2.13223