<p>More electric aircraft (MEA) is a trending technology to achieve more efficient, clean, and reliable aviation. Due to this trend, operating an advanced electrical network of MEA faces many new challenges, particularly when handling pulse power loads such as electromagnetic launch and recovery systems and high-power radars. This research paper proposes a two-layer energy management framework for utilizing hybrid energy storage systems (HESS) to address these issues. This energy management architecture is applied to a hybrid AC/DC electrical network, where power losses of electrical components are approximated using quadratic functions. It then presents a novel iterative bi-level energy management algorithm to solve the resulting mixed-integer non-convex problem efficiently. This algorithm aims to minimize both system-wide power losses and power fluctuations of generators while making appropriate switching decisions deploying battery-supercapacitor HESS. Finally, the effectiveness of the proposed energy management strategy is validated through simulation results on the CPLEX platform.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

An efficient energy management strategy for more electric aircraft with pulsed loads

  • Hamid Radmanesh

摘要

More electric aircraft (MEA) is a trending technology to achieve more efficient, clean, and reliable aviation. Due to this trend, operating an advanced electrical network of MEA faces many new challenges, particularly when handling pulse power loads such as electromagnetic launch and recovery systems and high-power radars. This research paper proposes a two-layer energy management framework for utilizing hybrid energy storage systems (HESS) to address these issues. This energy management architecture is applied to a hybrid AC/DC electrical network, where power losses of electrical components are approximated using quadratic functions. It then presents a novel iterative bi-level energy management algorithm to solve the resulting mixed-integer non-convex problem efficiently. This algorithm aims to minimize both system-wide power losses and power fluctuations of generators while making appropriate switching decisions deploying battery-supercapacitor HESS. Finally, the effectiveness of the proposed energy management strategy is validated through simulation results on the CPLEX platform.