SCHEDULING OPTIMIZATION OF PHOTOVOLTAIC-THERMAL COUPLED COGENERATION SYSTEM UNDER SOURCE/LOAD CONFIDENCE LEVEL

Chen Si; Yang Hongxin; Wang Chong; Wang Jun; Peter D. Lund

doi:10.19912/j.0254-0096.tynxb.2024-1734

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (11) : 352-359. DOI: 10.19912/j.0254-0096.tynxb.2024-1734

SCHEDULING OPTIMIZATION OF PHOTOVOLTAIC-THERMAL COUPLED COGENERATION SYSTEM UNDER SOURCE/LOAD CONFIDENCE LEVEL

Chen Si¹, Yang Hongxin¹, Wang Chong², Wang Jun², Peter D. Lund³

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Abstract

To enhance the installation capacity of solar energy at the user side, promote the integration of solar photovoltaic and thermal energy, a combined heat and power system based on solar photovoltaic and solar thermal cooperation is proposed. By introducing the concept of energy salesmen and establishing a master-slave game theory based on energy salesmen-users-system, the thermal and electrical balance between the user side and the system side at different confidence levels is optimized with the purchase and sale prices as the decision variables. Case studies demonstrate the effectiveness of the proposed method. At a 0.9 confidence level, demand response reduces the user's electricity consumption during peak price periods by an average of 763 kWh, while increasing consumption during low price periods by 564 kWh. The gas turbine outputs a maximum of 2.2 MWh at 09:00, and the photovoltaic system reaches a peak of 2.4 MWh at 14：00. Additionally, the user's thermal demand is reduced by 31.6% at 14:00. By optimizing system-side equipment output and user-side energy consumption, the system achieves more efficient production and economic energy use, maximizing the profits of all participants.

Key words

solar photovoltaic/thermal collector / combined heat and power / building integrated energy system / master-slave game / confidence level / pricing mechanism of product

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Chen Si, Yang Hongxin, Wang Chong, Wang Jun, Peter D. Lund. SCHEDULING OPTIMIZATION OF PHOTOVOLTAIC-THERMAL COUPLED COGENERATION SYSTEM UNDER SOURCE/LOAD CONFIDENCE LEVEL[J]. Acta Energiae Solaris Sinica. 2024, 45(11): 352-359 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1734

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