OPTIMAL SCHEDULING METHOD OF COMBINED ELECTRIC AND THERMAL SYSTEM BY USING BUILDING VIRTUAL ENERGY STORAGE TO IMPROVE WIND POWER ACCOMMODATION CAPABILITY

Hou Junyu; Yuan Zhi; Wang Weiqing; Li Ji

doi:10.19912/j.0254-0096.tynxb.2023-0141

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (5) : 206-216. DOI: 10.19912/j.0254-0096.tynxb.2023-0141

OPTIMAL SCHEDULING METHOD OF COMBINED ELECTRIC AND THERMAL SYSTEM BY USING BUILDING VIRTUAL ENERGY STORAGE TO IMPROVE WIND POWER ACCOMMODATION CAPABILITY

Hou Junyu¹, Yuan Zhi¹, Wang Weiqing¹, Li Ji²

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Abstract

The wind power accommodation capability of combined electric and thermal system can be enhanced by using building virtual energy storage. As much concerned for the utilization rate, it will lead to the underutilizaion of virtual energy storage if only taking building structure energy storage into consideration except the indoor air energy storage. In this paper, we propose an optimal scheduling method for combined electric and thermal system under the circumstance of reward and punishment ladder-type carbon trading, which can enhance wind power accommodation capability by using building virtual energy storage. Firstly, a refined building virtual energy storage model is established based on indoor air and building structure heat balance model; secondly, a reward and punishment ladder carbon trading mechanism and demand response mechanism are introduced to the system; thirdly, by considering factors of constraints like electric, thermal power balance and room temperature, and setting the objective function with the lowest total cost of the combined electric and thermal system, we propose an improved equilibrium optimizer algorithm to solve the objective function optimally; finally, the analysis of wind power accommodation, CO₂ emission and economics of combined electric and thermal system under different scenarios shows that the propose method not only improves the wind power accommodation rate, reduces CO₂ emission of combined electric and thermal system, but also improves the economics.

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wind power accommodation / building virtual energy storage / equilibrium optimizer algorithm / reward and punishment ladder-type carbon trading / integrated demand response

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Hou Junyu, Yuan Zhi, Wang Weiqing, Li Ji. OPTIMAL SCHEDULING METHOD OF COMBINED ELECTRIC AND THERMAL SYSTEM BY USING BUILDING VIRTUAL ENERGY STORAGE TO IMPROVE WIND POWER ACCOMMODATION CAPABILITY[J]. Acta Energiae Solaris Sinica. 2024, 45(5): 206-216 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0141

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