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Eco-friendly gas insulating medium for next-generation SF6-free equipment 用于下一代无SF6设备的环保气体绝缘介质
Pub Date : 2023-03-01 DOI: 10.23919/IEN.2023.0001
Yi Li;Shuangshuang Tian;Linlin Zhong;Geng Chen;Song Xiao;Yann Cressault;Yuwei Fu;Yu Zheng;Christophe Preve;Zhaolun Cui;Yin Zhang;Fanchao Ye;Daniel Piccoz;Gang Wang;Yalong Li;Youping Tu;Wenjun Zhou;Ju Tang;Xiaoxing Zhang
Gas-insulated equipment (GIE) that utilizes the most potent greenhouse gas sulfur hexafluoride (SF6) as insulation and arc-quenching medium has been widely used in the power industry. Seeking eco-friendly insulating gas with advanced performance for next-generation SF6-free GIE is significant for the “net-zero” goal and sustainable development. In this paper, the utilization, emission, and reduction policies of SF6 around the world were summarized first. Then, we systematically reviewed the latest progress in comprehensive performance evaluation of eco-friendly insulating gas in terms of molecular design, dielectric insulation, arc-quenching, stability and decomposition, materials compatibility, biosafety, etc. Further, the representative applications of eco-friendly insulating gas in medium-voltage, high-voltage GIE as well as relevant maintenance-related technologies were highlighted. Accordingly, the existing challenges and future perspectives were proposed, presenting a roadmap to hopefully steer the development of eco-friendly insulating gas and GIE.
利用最强效的温室气体六氟化硫(SF6)作为绝缘和灭弧介质的气体绝缘设备(GIE)已在电力工业中得到广泛应用。寻求具有先进性能的环保绝缘气体用于下一代无SF6的GIE,对实现“净零”目标和可持续发展具有重要意义。本文首先概述了世界各国对SF6的利用、排放和减排政策。然后,我们从分子设计、介电绝缘、灭弧、稳定性和分解性、材料兼容性、生物安全性等方面系统回顾了环保绝缘气体综合性能评价的最新进展,重点介绍了高压GIE以及相关维护技术。因此,提出了现有的挑战和未来的前景,提出了一个路线图,有望引导环保绝缘气体和全球环境倡议的发展。
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引用次数: 0
Interaction analysis and enhanced design of grid-forming control with hybrid synchronization and virtual admittance loops 具有混合同步和虚拟导纳环的网格形成控制的交互分析和增强设计
Pub Date : 2023-03-01 DOI: 10.23919/IEN.2023.0005
Hong Gong;Xiongfei Wang
The hybrid power- and voltage-based synchronization control method has shown potential for enhancing the stability of grid-forming (GFM) inverters. However, its effectiveness may be compromised if other control loops are not properly designed. To address the control-loop interactions, this paper presents a design-oriented analysis method for multiloop-controlled GFM inverters. The method begins by identifying the dominant oscillation modes through modal analysis. The sensitivities of damping ratios to control parameters are then determined for the dominant modes, which allows for characterization of control-loop interactions. A co-design method of GFM control is next developed based on the sensitivity analysis. Lastly, simulations and experimental results are presented to confirm the effectiveness of the method.
基于功率和电压的混合同步控制方法已显示出提高并网逆变器稳定性的潜力。然而,如果其他控制回路设计不当,其有效性可能会受到影响。为了解决控制回路的相互作用,本文提出了一种面向设计的多回路控制GFM逆变器分析方法。该方法首先通过模态分析来识别主要的振荡模式。然后确定主模态的阻尼比对控制参数的敏感性,这允许表征控制回路的相互作用。在灵敏度分析的基础上,提出了GFM控制的协同设计方法。最后,通过仿真和实验验证了该方法的有效性。
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引用次数: 0
The Energy Technology Innovation on the Path towards Carbon Neutrality 碳中和道路上的能源技术创新
Pub Date : 2023-03-01 DOI: 10.23919/IEN.2023.0004
Qi Wang;Chongqing Kang
The Energy Technology Innovation on the Path towards Carbon Neutrality convenes a group of experts, including Nobel laureates, academicians, government officials, and young and middle-aged scholars, to deliberate on the key areas of energy technology innovation on the path towards carbon neutrality. From multiple perspectives and dimensions, the book addresses the challenges that arise in achieving carbon neutrality targets, while exploring the latest developments, ideas, and achievements in cutting-edge technology innovation areas such as zero-carbon transformation of the power system, clean and intelligent transportation, hydrogen energy development and application, and energy digitization. Moreover, it provides valuable insights into the path towards carbon neutrality.
碳中和道路上的能源技术创新会议召集了诺贝尔奖获得者、院士、政府官员和中青年学者等专家组,就碳中和道路上能源技术创新的关键领域进行讨论。本书从多个角度和维度探讨了实现碳中和目标的挑战,同时探讨了电力系统零碳转型、清洁智能交通、氢能开发与应用等前沿技术创新领域的最新发展、理念和成就,以及能源数字化。此外,它为实现碳中和的道路提供了宝贵的见解。
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引用次数: 0
Secondary control fusion in inverter intensive dynamic microgrids for distribution system resiliency enhancement 逆变器密集型动态微电网二次控制融合增强配电系统弹性
Pub Date : 2023-03-01 DOI: 10.23919/IEN.2023.0011
Yuxi Men;Lizhi Ding;Junhui Zhang;Xiaonan Lu
Microgrids (MGs) dominated by power electronics interface inverters can augment distribution system resiliency. The interactions among neighboring MGs and the requirements for flexible system network reconfiguration motivate the development of dynamic MGs. To improve the distribution system resiliency in the context of dynamic MGs, this paper proposes the concept of functional fusion of secondary control levels across neighboring dynamic MGs with the integration of multiple compensation terms into the secondary controller in each distributed generator (DG). Moreover, two kinds of consensus-based algorithms with the consideration of communication delays are encompassed to calculate the average values of static and dynamic variables and thereby build an effective communications network among DGs in dynamic MGs. Finally, the effectiveness of the proposed secondary controller is validated using a 9-bus test distribution feeder.
以电力电子接口逆变器为主的微电网可以增强配电系统的弹性。相邻MGs之间的相互作用以及对柔性系统网络重构的要求激励了动态MGs的发展。为了提高动态MGs背景下的配电系统弹性,本文提出了相邻动态MGs的二次控制级别的功能融合概念,并将多个补偿项集成到每个分布式发电机(DG)的二次控制器中。此外,还包含了两种考虑通信延迟的基于共识的算法来计算静态和动态变量的平均值,从而在动态MGs中的DG之间建立有效的通信网络。最后,使用9总线测试配电馈线验证了所提出的二次控制器的有效性。
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引用次数: 0
Constraints and solutions to power electronics penetrations in power systems 电力系统中电力电子贯穿件的制约因素和解决方案
Pub Date : 2023-03-01 DOI: 10.23919/IEN.2023.0002
Xiaoming Yuan;Wei He
Power system has recently been undergoing fundamental revolutions especially in the displacement of conventional thermal generations with renewable resources. While balancing of supplies and loads becomes immediate challenge due to uncertainty and fluctuation of the primary resources, power electronics replacing synchronous machines as technology for energy conversions brings essentially more sophisticated impacts to stability and security of power system operations. Potential threatening goes far more beyond the widely recognized problems including shortage of inertia in its conventional frequency response connotation, but relevant to scenario transformation of the overall characteristics of systems dynamics. The situation is getting worsening in China especially to meet the long distance transmission needs deploying conventional high-voltage direct current (HVDC) technologies in increasingly large scale, as well as new HVDC technology for offshore wind transmissions.
电力系统最近正在经历根本性的革命,特别是在用可再生资源取代传统火力发电方面。虽然由于一次资源的不确定性和波动性,供电和负载的平衡成为一项紧迫的挑战,但电力电子技术取代同步电机成为能源转换技术,对电力系统运行的稳定性和安全性带来了更为复杂的影响。潜在威胁远远超出了人们普遍认识到的问题,包括其常规频率响应内涵中的惯性不足,而是与系统动力学整体特征的场景转换相关。中国的情况正在恶化,特别是为了满足长距离输电的需求,越来越大规模地部署传统的高压直流输电技术,以及用于海上风电输电的新的高压直流技术。
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引用次数: 0
World's first practical power flow algorithm operating on today's noisy quantum computers 世界上第一个在当今嘈杂的量子计算机上运行的实用功率流算法
Pub Date : 2023-03-01 DOI: 10.23919/IEN.2023.0009
Jinliang He
Power flow is an indispensable foundation for power system analytics. Under the deep penetration of renewables, modern power system analytics often becomes intractable because it needs to run an enormous amount of power flow analyses to quantify the impact of uncertainties. Unlike classical power flow methods that scale polynomially with the system size, quantum computing enables using logarithmically-scaled number of qubits to solve linear equations in power flow analysis. Thus, quantum power flow (QPF) provides a promising direction to make today's intractable power system analytics tractable. However, a major obstacle to the development of a practical quantum power flow algorithm lies in the fact that today's mainstream quantum computers are still noisy-intermediate-scale quantum (NISQ) devices whose capability is restricted by the limited number of qubits and considerable noises. To bridge this gap, Stony Brook University establishes a variational quantum power flow that allows for practical and noise-resilient power flow analysis on today's NISQ devices.
潮流是电力系统分析不可或缺的基础。在可再生能源的深度渗透下,现代电力系统分析往往变得棘手,因为它需要进行大量的潮流分析来量化不确定性的影响。与经典的功率流方法不同,量子计算能够使用对数缩放的量子位数量来求解功率流分析中的线性方程。因此,量子功率流(QPF)为当今棘手的电力系统分析提供了一个很有前途的方向。然而,开发实用量子功率流算法的一个主要障碍在于,今天的主流量子计算机仍然是噪声中等规模的量子(NISQ)设备,其能力受到数量有限的量子位和相当大的噪声的限制。为了弥补这一差距,石溪大学建立了一种变分量子功率流,可以对当今的NISQ设备进行实用和抗噪声的功率流分析。
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引用次数: 0
Noise-resilient quantum power flow 抗噪声量子功率流
Pub Date : 2023-03-01 DOI: 10.23919/IEN.2023.0008
Fei Feng;Yi-Fan Zhou;Peng Zhang
Quantum power flow (QPF) offers an inspiring direction for overcoming the computation challenge of power flow through quantum computing. However, the practical implementation of existing QPF algorithms in today's noisy-intermediate-scale quantum (NISQ) era remains limited because of their sensitivity to noise. This paper establishes an NISQ-QPF algorithm that enables power flow computation on noisy quantum devices. The main contributions include: (1) a variational quantum circuit (VQC)-based alternating current (AC) power flow formulation, which enables QPF using short-depth quantum circuits; (2) NISQ-compatible QPF solvers based on the variational quantum linear solver (VQLS) and modified fast decoupled power flow; and (3) an error-resilient QPF scheme to relieve the QPF iteration deviations caused by noise; (3) a practical NISQ-QPF framework for implementable and reliable power flow analysis on noisy quantum machines. Extensive simulation tests validate the accuracy and generality of NISQ-QPF for solving practical power flow on IBM's real, noisy quantum computers.
量子功率流(QPF)为通过量子计算克服功率流的计算挑战提供了一个鼓舞人心的方向。然而,在当今噪声中等规模量子(NISQ)时代,现有QPF算法的实际实现仍然有限,因为它们对噪声的敏感性。本文建立了一种NISQ-QPF算法,该算法能够在有噪声的量子器件上进行功率流计算。主要贡献包括:(1)基于变分量子电路(VQC)的交流(AC)功率流公式,该公式使QPF能够使用短深度量子电路;(2) 基于变分量子线性求解器(VQLS)和改进的快速解耦潮流的NISQ兼容QPF求解器;以及(3)一种具有误差弹性的QPF方案,以减轻由噪声引起的QPF迭代偏差;(3) 一个实用的NISQ-QPF框架,用于在有噪声的量子机器上进行可实现和可靠的功率流分析。大量的模拟测试验证了NISQ-QPF在IBM真实的、有噪声的量子计算机上求解实际功率流的准确性和通用性。
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引用次数: 0
Safety-assured, real-time neural active fault management for resilient microgrids integration 用于弹性微电网集成的安全可靠、实时神经主动故障管理
Pub Date : 2022-12-06 DOI: 10.23919/IEN.2022.0048
Wenfeng Wan;Peng Zhang;Mikhail A. Bragin;Peter B. Luh
Federated-learning-based active fault management (AFM) is devised to achieve real-time safety assurance for microgrids and the main grid during faults. AFM was originally formulated as a distributed optimization problem. Here, federated learning is used to train each microgrid's network with training data achieved from distributed optimization. The main contribution of this work is to replace the optimization-based AFM control algorithm with a learning-based AFM control algorithm. The replacement transfers computation from online to offline. With this replacement, the control algorithm can meet real-time requirements for a system with dozens of microgrids. By contrast, distributed-optimization-based fault management can output reference values fast enough for a system with several microgrids. More microgrids, however, lead to more computation time with optimization-based method. Distributed-optimization-based fault management would fail real-time requirements for a system with dozens of microgrids. Controller hardware-in-the-loop real-time simulations demonstrate that learning-based AFM can output reference values within 10 ms irrespective of the number of microgrids.
基于联合学习的主动故障管理(AFM)旨在实现微电网和主电网在故障期间的实时安全保障。AFM最初被定义为一个分布式优化问题。在这里,联邦学习用于使用分布式优化获得的训练数据来训练每个微电网的网络。这项工作的主要贡献是用基于学习的AFM控制算法取代了基于优化的AFM算法。替换将计算从联机转移到脱机。有了这种替代,控制算法可以满足具有数十个微电网的系统的实时要求。相比之下,基于分布式优化的故障管理可以足够快地为具有多个微电网的系统输出参考值。然而,使用基于优化的方法,更多的微电网会导致更多的计算时间。基于分布式优化的故障管理将无法满足具有数十个微电网的系统的实时要求。控制器硬件在环实时仿真表明,无论微电网的数量如何,基于学习的AFM都可以在10ms内输出参考值。
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引用次数: 0
HVDC gas-insulated equipment for future bulk power delivery 用于未来大功率输送的高压直流气体绝缘设备
Pub Date : 2022-12-01 DOI: 10.23919/IEN.2022.0056
Guanjun Zhang
Entering the 21st century, the world's electric power structure will undoubtedly be advanced to one based on the rapidly growing, diversified and co-progressive renewable energy from a coal-dominated one. The development of deep- and far-sea offshore wind power is considered one such vital source for the generation of future energy infrastructure in China's 14th Five-Year Plan (2021–2025) for the National Economic and Social Development of China. It is estimated that from 2022 to 2025, the newly installed offshore wind power capacity will be increased to more than 300 GW. The investment cost of the offshore platform can be significantly decreased by adopting small gas-insulated switchgear in conjunction with submarine cable, which is a novel strategy to build large-scale offshore wind power stations in the future. Furthermore, the clean energy transmission from south-eastern Tibet to the Greater Bay Area (±800 kV DC power transmission project) faces harsh natural environmental conditions such as snow-capped mountains and uninhabited areas. The gas-insulated power transmission line provides a superior option instead of the traditional outdoor power transmission lines and cables.
进入21世纪,世界电力结构无疑将从以煤炭为主向以快速增长、多样化和共同进步的可再生能源为基础的电力结构迈进。在中国国民经济和社会发展第十四个五年规划(2021-2025年)中,深海和远海海上风电的发展被认为是未来能源基础设施建设的重要来源之一。预计2022年至2025年,海上风电新增装机容量将增加到300吉瓦以上。通过采用小型气体绝缘开关设备结合海底电缆,可以显著降低海上平台的投资成本,这是未来建设大型海上风电场的新策略。此外,从西藏东南部到大湾区的清洁能源输送(±800千伏直流输电项目)面临着雪山和无人区等恶劣的自然环境条件。气体绝缘输电线路提供了一种优越的选择,而不是传统的户外输电线路和电缆。
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引用次数: 0
An active fault management for microgrids resilience safety-assurance 微电网弹性安全保障的主动故障管理
Pub Date : 2022-12-01 DOI: 10.23919/IEN.2022.0039
Pohan Chen;Kai Sun
Active fault management (AFM) based on federated learning is established to realize ultra-integration of hundreds of microgrids, enabling them to output reference values fast enough during fault ride through (see the Figure, which is reprinted with permission from ref. iEnergy, 4: 453–462, 2022 © 2022 The Author(s)). AFM is first formulated as a distributed optimization problem. Then, federated is used to learning to train each microgrid's neural network. One concern for integrating optimization into power grid fault management and dynamic control is real-time performance because optimization usually takes more time to get reference values than widely used PID feedback control. To address this concern, controller hardware-in-the-loop (HIP) simulation with RTDS simulators is used to demonstrate the real-time performance of distributed-optimization-based fault management algorithms. In the hardware setup, one individual computer exclusively runs one microgrid or PV farm's control algorithm. Real-time simulation results demonstrate that the algorithms can output reference values within 100 ms, which can be considered well enough for fault management and dynamic control.
建立基于联合学习的主动故障管理(AFM)是为了实现数百个微电网的超集成,使它们能够在故障穿越过程中足够快地输出参考值(见图,经参考文献许可转载,iEnergy,4:453–4622022©2022作者)。AFM首先被公式化为一个分布式优化问题。然后,使用联邦学习来训练每个微电网的神经网络。将优化集成到电网故障管理和动态控制中的一个问题是实时性能,因为与广泛使用的PID反馈控制相比,优化通常需要更多的时间来获得参考值。为了解决这一问题,使用带有RTDS模拟器的控制器硬件在环(HIP)仿真来演示基于分布式优化的故障管理算法的实时性能。在硬件设置中,一台单独的计算机专门运行一个微电网或光伏发电场的控制算法。实时仿真结果表明,该算法可以在100ms内输出参考值,可以很好地用于故障管理和动态控制。
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引用次数: 0
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