A multi-electric aircraft energy scheduling method based on distribution robust optimization

By constructing a multi-stage bibliometric model and utilizing the Wasserstein distance and PLDR methods, the energy scheduling problem of multi-electric aircraft is reconstructed into a mixed-integer linear programming problem. This solves the adaptive scheduling problem of multi-electric aircraft under load uncertainty, improves the reliability and economy of the system, and reduces fuel consumption.

CN116154854BActive Publication Date: 2026-08-04ZHEJIANG UNIV OF TECH
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Patent Information

Application Number
CN202310111486.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-02-13
Publication Date
2026-08-04
Estimated Expiration
2043-02-13

AI Technical Summary

Technical Problem

In the face of load uncertainty, the energy dispatch strategy of the existing multi-electric aircraft electric system is difficult to achieve adaptive dispatch, resulting in insufficient economy and stability, and high fuel consumption.

Method used

A multi-electric aircraft energy scheduling method based on split-Blule bar optimization is adopted. A multi-stage split-Blule bar model is constructed. Combining Wasserstein distance and piecewise linear decision rules, the model is reconstructed into a mixed-integer linear programming problem through the PLDR method. The equipment status is monitored in real time and rolling scheduling is performed.

Benefits of technology

It improves the reliability and safety of the energy dispatch system for multi-electric aircraft, reduces fuel consumption, achieves low carbon emissions, and adapts to load uncertainties, exhibiting good economy and robustness.

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Abstract

The application discloses a kind of multi-electric aircraft energy scheduling methods based on distribution robust optimization, comprising the following steps: S1, constructing multi-stage distribution robust model;S2, based on PLDR method and Wasserstein distance, multi-stage distribution robust model is reconfigured as PLDRO model;S3, obtain the load historical data set of multi-electric aircraft and real-time monitoring equipment available state;S4, according to load historical data set, equipment available state and preset energy management parameter, PLDRO model is solved using solver, and in the scheduling period of multi-electric aircraft, based on rolling scheduling method, after observing uncertain load, energy management decision is calculated according to the solving result of PLDRO model and is executed, realize the energy scheduling of multi-electric aircraft.Can realize adaptive scheduling under uncertain load, with good economy and robustness.
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