Design method and system of new energy and energy storage demonstration platform meeting multi-scenario requirements
By constructing a multi-scenario adaptation system and a two-layer optimization model, the problems of single scenario coverage and configuration dependence on experience in traditional methods are solved, enabling scientific decision-making and efficient verification of new energy and energy storage demonstration platforms, and improving the reproducibility and confidence of experimental platforms.
CN122155466BActive Publication Date: 2026-07-14SHANDONG UNIV +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANDONG UNIV
- Filing Date
- 2026-05-07
- Publication Date
- 2026-07-14
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Figure CN122155466B_ABST
Abstract
The application discloses a new energy and energy storage demonstration platform design method and system meeting multi-scene requirements, and belongs to the technical field of power system planning and intelligent optimization. The method comprises the following steps: obtaining typical scene characteristics to construct a multi-scene classification model; establishing an upper multi-objective optimization model to generate a configuration scheme candidate set; establishing a lower deviation calculation and constraint verification model to perform constraint verification, deviation quantification and risk mapping on the candidate scheme, and feeding back the results to the upper layer; using NSGAII and Gurobi solver double-layer iteration to solve the optimal configuration capacity; and through a scene scaling mechanism, the optimization result is reduced to the resource constraint range of the demonstration platform, and equipment configuration details and verification reports are output. The application realizes multi-scene adaptation, deviation risk quantification and double-layer collaborative optimization, can flexibly adapt to the demonstration requirements of scenes such as Shaguo desert, offshore wind power, source-grid-load-storage integration and the like, guarantees the rationality of equipment configuration, and reduces the engineering landing risk.
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