Stability and Control of Power Networks with Energy Storage (STABLE-NET)

储能电力网络的稳定性和控制（STABLE-NET）

• 批准号: EP/L014343/1
• 负责人: Bikash Pal
• 金额: $ 133.55万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2014
• 资助国家: 英国
• 起止时间: 2014 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FL014343%2F1
• 关键词: Stability; Control; Power; Networks; Energy

Summary:The operations of interconnected power networks are facing unprecedented challenges which are primarily driven by new intermittent sources of generation that are replacing centralised flexible generation. Such intermittency in generation inevitably leads to difficulties in achieving reliable operation. The existing weak high voltage AC system in China suffers from stability-related problems and as a result, in 2010 17% of the electricity produced in China's top 10 wind power bases was curtailed with curtailment reaching as much as 25% in the Gansu province. A single grid fault on the 24th of February 2011 caused the disconnection of 598 wind turbines in Northwest China, resulting in a system frequency dip of 0.178 Hz, highlighting the inadequacy of the control technology currently used. A similar incident of generation outage in the UK on the 2nd of September 2010 led to a rapid decline in frequency, which disconnected about 350 MW embedded generation (mainly wind) through the action of the rate of change of frequency (RoCoF) protection. These are two of the many incidents that highlight the need for new approaches in fast system monitoring for enhanced stability and control. Energy storage is essential to address the balance between generation and demand at different time scales. However, the description of the dynamic performance of energy storage under varied loading, and their state of charge and health monitoring are currently open problems. Complex dynamic behaviour, such as hysteresis, may manifest in storage systems. Therefore it is not clear how storage may impact power system operation, particularly with respect to stability. There have been instances of loss of generation because of the inadequate control of the power converter interface between intermittent generation and network. When the existing power converter technology is duplicated to act as an interface between storage and the grid, the poor performance is inevitable without improved understanding of local and global dynamics. Another key barrier is the lack of robust enabling technology for monitoring and control that can integrate the capabilities of storage in a time critical manner. Fast dynamic security assessment has been attempted through the energy function approach - but existing tools fail to compute the true stability margin because of the complexity of power system dynamic characteristics. All these barriers may be overcome through underpinning research in monitoring, modelling and control of storage to stabilise interconnected power network operations. The challenges lie in fast computation, fault detection and robust control design of the interface between storage and the network. The approach proposed here is decentralised stability monitoring, assessment and control of the network. Existing network operation practice relies heavily on slow and centralised control architectures through large SCADA/EMS. The methodologies that are being proposed will thus need to rely little on system wide communication infrastructure. In addition, distributed approach to dynamic system monitoring, decentralised approaches to system wide disturbances and dynamic security assessment through distributed energy function are novel approaches. The innovations include cutting edge representations of high power low energy storage; energy functions to include asynchronous and synchronous generation with storage with resistive elements, practical applications of ground breaking decentralised fault detection and robust and reliable control between intermittent generation and the rest of the system.Because the successful operation of interconnected power grids requires fast computation and control, as well as energy storage domain knowledge, the power system and energy storage experts in this consortium are joined by a number of leading control theory experts with experience in power networks - definitely a very unique strength of the team.

互联电网的运营正面临前所未有的挑战，主要是由新的间歇性发电源取代集中式灵活发电所驱动。这种发电的不稳定性不可避免地导致难以实现可靠的运行。中国现有的弱高压交流系统存在与稳定性相关的问题，因此，2010年中国十大风电基地生产的电力中有17%被削减，其中甘肃省的削减高达25%。2011年2月24日的一次电网故障导致中国西北地区598台风力发电机组断开，导致系统频率下降0.178 Hz，突出了目前使用的控制技术的不足。2010年9月2日，英国发生了一起类似的停电事故，导致频率迅速下降，通过频率变化率（RoCoF）保护的动作，约350 MW嵌入式发电机（主要是风力发电机）被断开。这是许多事件中的两个，突出了快速系统监测的新方法，以增强稳定性和控制的需要。储能对于解决不同时间尺度的发电和需求之间的平衡至关重要。然而，在不同的负载下的能量存储的动态性能的描述，以及它们的充电状态和健康监测是目前的公开问题。复杂的动态行为，如滞后，可能会出现在存储系统中。因此，尚不清楚储能如何影响电力系统运行，特别是在稳定性方面。由于对间歇性发电和电网之间的电力转换器接口控制不足，发生了发电损失的情况。当现有的功率转换器技术被复制以充当存储和电网之间的接口时，如果不提高对局部和全局动态的理解，则性能不佳是不可避免的。另一个关键障碍是缺乏强大的监控和控制技术，可以以时间关键的方式集成存储功能。快速动态安全评估已尝试通过能量函数的方法-但现有的工具无法计算真实的稳定裕度，因为电力系统的动态特性的复杂性。所有这些障碍都可以通过对存储的监测、建模和控制进行基础研究来克服，以稳定互联电网的运行。挑战在于存储和网络之间接口的快速计算、故障检测和鲁棒控制设计。这里提出的方法是分散的稳定性监测，评估和控制的网络。现有的网络操作实践严重依赖于通过大型SCADA/EMS的缓慢和集中控制架构。因此，正在提出的方法将需要很少依赖于系统范围的通信基础设施。此外，分布式方法动态系统监测，分散的方法，系统范围内的干扰和动态安全评估，通过分布式能量功能是新的方法。这些创新包括高功率低能量存储的尖端表现;能量功能包括具有电阻元件存储的异步和同步发电，接地分散故障检测的实际应用以及间歇发电和系统其余部分之间的鲁棒和可靠控制。由于互连电网的成功运行需要快速计算和控制，除了储能领域的知识外，该联盟中的电力系统和储能专家还包括许多具有电网经验的领先控制理论专家-这无疑是该团队的独特优势。

项目成果

Impact of Overexcitation Limiters on the Power System Stability Margin Under Stressed Conditions

• DOI: 10.1109/tpwrs.2015.2440559
• 发表时间: 2016-05
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: G. Anagnostou;B. Pal

A Trajectory Piecewise-Linear Approach to Nonlinear Model Order Reduction of Wind Farms

• DOI: 10.1109/tste.2019.2912037
• 发表时间: 2020-04-01
• 期刊: IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
• 影响因子: 8.8
• 作者: Ali, Husni Rois;Kunjumuhammed, Linash P.;Vershinin, Konstantin
• 通讯作者: Vershinin, Konstantin

Observer-Based Anomaly Detection of Synchronous Generators for Power Systems Monitoring

• DOI: 10.1109/pesgm40551.2019.8973935
• 发表时间: 2018-07
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: G. Anagnostou;F. Boem;S. Kuenzel;B. Pal;T. Parisini

Impact of Multi-terminal HVDC Grids on Enhancing Dynamic Power Transfer Capability

• DOI: 10.1109/tpwrs.2016.2617399
• 发表时间: 2017-07
• 期刊: IEEE Transactions on Power Systems
• 影响因子: 6.6
• 作者: T. Assis;S. Kuenzel;B. Pal

Backstepping PDE-based adaptive observer for a Single Particle Model of Lithium-Ion Batteries

基于反步偏微分方程的锂离子电池单粒子模型自适应观测器

• DOI: 10.1109/cdc.2016.7799133
• 发表时间: 2016
• 作者: Ascencio P