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1.
公开(公告)号:US20250077729A1
公开(公告)日:2025-03-06
申请号:US18034035
申请日:2022-03-29
Applicant: SOUTHEAST UNIVERSITY , Yunman Power Grid Co., Inc.
IPC: G06F30/20 , G06F113/06 , G06Q50/06 , G06Q50/08 , H02J3/00
Abstract: The present invention describes an electric-thermal-hydrogen multi-energy device planning method for zero energy buildings, including the following specific steps: firstly, constructing operation constraints of electric and thermal devices in the zero energy buildings; secondly, constructing operation constraints of hydrogen devices including the electrolyzer, the fuel cell and the hydrogen storage device; then, in view of constraints on annual zero energy of the buildings, establishing the robust electric-thermal-hydrogen multi-energy device planning model considering source-load uncertainties; and finally, solving the robust electric-thermal-hydrogen multi-energy device planning model of the zero energy buildings by adopting an alternating optimization procedure based column-and-constraint generation algorithm. By using the zero energy buildings, the planning method disclosed by the present disclosure plays important roles in aspects of promoting the development and utilization of renewable energy on the demand side, reducing energy consumption in the field of buildings, and reducing the emission of greenhouse gases.
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2.
公开(公告)号:US20230369852A1
公开(公告)日:2023-11-16
申请号:US18029973
申请日:2022-04-09
Applicant: Southeast University , ELECTRIC POWER RESEARCH INSTITUTE OF YUNNAN POWER GRID CO., LTD. , YUNNAN POWER GRID CO., LTD.
Inventor: Pengxiang LIU , Zhi WU , Hai LU , Wei GU , Yuping LU , Enbo LUO , Dada WANG , Qirun SUN , Hao ZHANG
IPC: H02J3/00
CPC classification number: H02J3/00 , H02J2203/20
Abstract: A method for calculating an optimal energy flow of an integrated electricity-gas system comprises: a convex optimization part of an optimal energy flow model is established according to a fuel cost of each thermal power unit node and a gas supply cost of each nature gas source node, and a convex relaxation formula of a quadratic constraint of the optimal energy flow model is established, and a convex function is expanded by a first order Taylor expansion at a relaxation solution to form an expansion formula; a precision requirement threshold value of a non-convex constraint is given, the threshold value is compared with an unbalance magnitude of a non-convex constraint in the expansion formula; when the unbalance magnitude is greater than the threshold value, the expansion is iterated into a solution model of the integrated electricity-gas hybrid energy system until the unbalance magnitude is not greater than the threshold value.
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