AN OPTIMAL SCHEDULING SCHEME OF CCHP SYSTEMS BY REDUCING SOLUTION SPACE

Zhou Wencao; Zhang Xuejun; Yan Laiqing

doi:10.19912/j.0254-0096.tynxb.2022-1197

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (11) : 556-564. DOI: 10.19912/j.0254-0096.tynxb.2022-1197

AN OPTIMAL SCHEDULING SCHEME OF CCHP SYSTEMS BY REDUCING SOLUTION SPACE

Zhou Wencao, Zhang Xuejun, Yan Laiqing

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Abstract

Based on combined cooling heating and power （CCHP） system that uses biomass as a fuel for gas-fired power generation, an optimal scheduling model for the CCHP system multi-objective daily operation is established, which also deals with factors such as PV, wind power consumption, energy storage battery life, CO₂ emissions, energy interaction with the grid and the conversion relationship among different forms of energy of capacity devices. Aiming at the problem of large operating mode solution space of following hybrid load （FHL）, this paper presents a new scheme to reduce the solution space per period by eliminating obviously uneconomic, environmentally unfriendly and impossible operating conditions, and thus the computational efficiency and the possibility of obtaining the globally optimal solution can be improved. On this basis, the scheduling scheme of the arithmetic case system is derived using particle swarm optimization by changing the learning factor with improved weights. The method proposed in this paper not only shortens the solution time of the FHL operation mode, but also leads to better economic and environmental benefits of this operation mode.

Key words

CCHP / multi-objective optimization / energy utilization / particle swarm optimization / scheduling optimization

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Zhou Wencao, Zhang Xuejun, Yan Laiqing. AN OPTIMAL SCHEDULING SCHEME OF CCHP SYSTEMS BY REDUCING SOLUTION SPACE[J]. Acta Energiae Solaris Sinica. 2023, 44(11): 556-564 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1197

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