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面向多电飞机电气系统的容错分层能量管理系统
Fault-tolerant hierarchical energy management system for an electrical power system on more-electric aircraft
| 作者 | Xin Wang · Jason Atkin · Serhiy Bozhko |
| 期刊 | Applied Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 379 卷 |
| 技术分类 | 电动汽车驱动 |
| 技术标签 | 可靠性分析 |
| 相关度评分 | ★★★★ 4.0 / 5.0 |
| 关键词 | Proposing a fault-tolerant hierarchical EMS for an aircraft EPS to ensure system resilience in multiple faulty scenarios; |
语言:
中文摘要
摘要 多电飞机(More-Electric Aircraft, MEA)的概念在提升能源与交通领域的环境性能、经济性及可靠性方面具有巨大潜力。为充分发挥这一潜力,当前发展趋势是构建日益复杂的电气系统(Electrical Power Systems, EPSs)架构,以满足不断增长的电力需求。此外,一个可靠且智能的能量管理系统(Energy Management System, EMS)对于协调EPS中各类子系统至关重要,需在满足实时运行要求和安全准则的前提下,保障飞行的安全与高效,并降低各飞行阶段的运行成本。本文提出了一种面向基于多变流器架构的新型飞机电气系统的容错分层EMS,能够在多种故障场景下、在不同时间尺度上实现系统配置、功率分配以及储能管理。该EMS包含两个层级:高层(High Level, HL)采用基于混合整数线性规划(Mixed-Integer-Linear-Programming, MILP)构建的模型预测控制(Model Predictive Control, MPC),通过引入对未来状态的预测,优化EPS的长期运行性能;低层(Low Level, LL)则采用确定性规则,在HL的采样间隔内快速响应负载变化与故障发生,具有更快的时钟频率。特别地,LL控制器包含四种工作模式,可在EPS正常或故障条件下,选择与HL在线MPC协同运行或独立运行。所提出的EMS在两种情况下进行了评估:首先是在正常运行工况下考虑负载偏差的情况,其次是在故障场景下的系统行为。结果表明,所提出的EMS能够有效降低EPS的运行成本,同时在EPS部件故障或EMS内部故障发生时,仍能确保对动态变化的快速响应。
English Abstract
Abstract The concept of More-Electric Aircraft (MEA) has the potential to improve the environmental, economic, and reliability performance in the energy and transportation sectors. To achieve this potential, it has become a tendency to develop complex architectures of Electrical Power Systems (EPSs) for MEA to supply increasing electrical power demands. Moreover, a reliable and intelligent Energy Management System (EMS) is critical to coordinate the various EPS subsystems to ensure safe and efficient flight, following the real-time EPS operating requirements and safety criteria, while reducing the operating costs for all flight stages. This paper presents a fault-tolerant hierarchical EMS, for an innovative multi-converter-based aircraft EPS, to configure the system, ensure power distribution, and manage energy storage in multiple faulty scenarios over different time scales. There are two levels in this EMS: The High Level (HL) is based on Model Predictive Control (MPC), formulated by Mixed-Integer-Linear-Programming (MILP), to optimise the long-term EPS performance while considering future predictions; The Low Level (LL) adopts deterministic rules to cope with load changes and fault occurrences over the short term, during the HL sample intervals, with a faster clock. In particular, the LL controller contains four modes: to either cooperate with the HL online MPC or to operate independently, in either EPS normal or faulty conditions. The proposed EMS is evaluated in two cases, firstly considering load deviations in a normal operating scenario, and then considering behaviour in fault scenarios. The results indicate that the proposed EMS successfully reduces the EPS operational costs while ensuring quick responses to dynamic changes with either EPS component faults or EMS internal faults.
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SunView 深度解读
该容错分层能源管理系统对阳光电源储能及充电桩产品线具有重要借鉴价值。其MPC+MILP的高层优化与快速响应低层规则的双层架构,可应用于ST系列PCS的多时间尺度协调控制,提升PowerTitan储能系统在电网故障时的可靠性。四模式容错机制可增强充电站群控系统的鲁棒性,确保关键负载供电连续性。该架构与阳光电源iSolarCloud平台的预测性维护功能结合,可实现储能系统全生命周期的智能运维与成本优化,特别适用于工商业储能及微电网场景的故障自愈管理。