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2022 Asian Conference on Frontiers of Power and Energy (ACFPE)最新文献

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Research on Analysis and Application of Lightning Current Model in Power System and Protection Improvement method 电力系统雷电电流模型分析与应用及保护改进方法研究
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952279
Shaoming Zheng, Rui Chen, Yimin Liu, Siqi Zhang, Dan Liu, Tianxiao Huang
Non fault lightning strike is an important reason for the inconsistent action of double sets of protection for 500kV and above lines. The protection identifies the waveform of non fault lightning strike as the fault in the area. The differential protection of partial line protection acts, and the line is cut off to cause short-time power loss of the line, which affects the protection reliability and power supply reliability. In this paper, the influence of non fault lightning strike on relay protection equipment is analyzed and studied. Combined with the actual lightning strike fault, the small step simulation system of RTDS platform is used to standardize the lightning current modeling, and the line transmission model is established according to the tower parameters and equipment parameters of the actual line. Inject lightning wave into the line to study the propagation of lightning wave on the line. The lightning wave appears multiple catadioptric reflections between the two stations. By simulating the sampling frequency of the protection device, the sampling simulation waveform of the protection is obtained, which is compared with the actual lightning waveform. By changing the position of the injected lightning wave, the law and waveform characteristics are analyzed, and the amplitude and pulse width are summarized. In this paper, an improved method for lightning protection of protection device is proposed, and the ability of lightning protection against maloperation is enhanced by adding voltage criterion, raising protection threshold or extending protection setting value, or adding waveform identification criterion. Through the test of the protection prototype, the improved method is tested and evaluated.
非故障雷击是500kV及以上线路双组保护动作不一致的重要原因。该保护将非故障雷击波形识别为该区域的故障。部分线路保护的差动保护起作用,使线路被切断,造成线路短时失电,影响保护可靠性和供电可靠性。本文分析研究了非故障雷击对继电保护设备的影响。结合实际雷击故障,利用RTDS平台的小步距仿真系统对雷电电流建模进行标准化,并根据实际线路的塔参数和设备参数建立线路传输模型。将雷电波注入线路,研究雷电波在线路上的传播。闪电波在两个站点之间出现多次反射反射。通过对保护装置的采样频率进行仿真,得到保护装置的采样仿真波形,并与实际雷电波形进行对比。通过改变注入雷击波的位置,分析了雷击波的变化规律和波形特征,总结了雷击波的幅值和脉宽。本文提出了一种改进的保护装置防雷方法,通过增加电压判据、提高保护阈值或扩大保护整定值、增加波形识别判据等措施,增强了保护装置防雷误动作的能力。通过对保护样机的试验,对改进后的方法进行了测试和评价。
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引用次数: 0
The detection method of inter-turn short-circuit current of in-phase coil compensation axial permanent magnet synchronous fault-tolerant motor 同相线圈补偿轴向永磁同步容错电动机匝间短路电流的检测方法
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952239
Shuqing Tan, Yinru Bai, Xuping Wang, Pan Liu
With the development of aerospace, electric propulsion ships, and new energy vehicles which have extremely demanding requirements for safety and reliability, the requirements for the safety and reliability of their internal drive motors are becoming higher and higher. The motor is required to operate fault-tolerant and maintain the original output capacity in the event of sudden operation faults, and stator winding inter-turn short-circuit fault (ITSCF) is a frequent fault. An automatic fault-tolerant permanent magnet synchronous motor (PMSM) for ITSCF is proposed to solve the problem of motor torque decline and three-phase current imbalance when ITSCF occurs. Aiming at this special motor, an inter-turn short circuit current detection method is proposed. This paper introduces a special structure of this motor. The short circuit current and number of turns are obtained by adding additional coils and analyzing the leakage magnetic circuit of the motor. Then the finite element model is established by ANSYS, and the short circuit situation with different turns is simulated to verify the correctness of the experiment.
随着航空航天、电力推进船舶、新能源汽车等对安全性和可靠性要求极高的领域的发展,对其内部驱动电机的安全性和可靠性要求也越来越高。电动机在发生突发性运行故障时,要求具有容错性并能保持原有的输出容量,而定子绕组匝间短路故障(ITSCF)是常见故障。针对ITSCF发生时电机转矩下降和三相电流不平衡的问题,提出了一种适用于ITSCF的自动容错永磁同步电机。针对这种特殊的电机,提出了一种匝间短路电流检测方法。本文介绍了该电机的特殊结构。通过增加附加线圈和分析电机漏磁路,得到了短路电流和匝数。然后利用ANSYS建立有限元模型,对不同匝数下的短路情况进行仿真,验证实验的正确性。
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引用次数: 0
Study on the Influence of Distributed Photovoltaic on Distance Protection of Collecting Line 分布式光伏对集线线距离保护的影响研究
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952212
Xuekai Hu, Qian Zhang, Lei Wang, Qi Zhang, Shaobo Yang, Zhu-liang Wang
Recently, distributed photovoltaic has exploded in growth, the different power supply characteristics and the formation of multi-terminal power supply network have had a great impact on the original distribution network protection. So the distance protection of collecting line with distributed photovoltaic is studied. Firstly, we analyze whether the faulty phase can be reliably identified from the phase selection component. And then it studies the adaptability of the impedance component according to three-phase short circuit, two-phase short circuit and ground fault. Finally, the simulation verification is performed based on RTDS. The simulation results show that the positive and negative sequence equivalent impedances of the distributed photovoltaic side are no longer equal, which results in the failure of the commonly used phase current difference mutation in phase selection. And when various types of faults occur in the collecting line, a large negative reactance will appear in the measurement impedance of the distributed photovoltaic side, causing the impedance component to refuse to operate.
近年来,分布式光伏呈爆炸式增长,供电特性的不同和多终端供电网络的形成对原有配电网保护产生了很大的影响。为此,对分布式光伏集线线的距离保护进行了研究。首先,从选相分量分析故障相位能否可靠识别。然后研究了阻抗分量对三相短路、两相短路和接地故障的适应性。最后,基于RTDS进行了仿真验证。仿真结果表明,分布式光伏侧的正、负序等效阻抗不再相等,导致常用的相电流差突变选相失效。而当集线线发生各种类型的故障时,分布式光伏侧的测量阻抗会出现较大的负电抗,导致阻抗元件拒绝工作。
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引用次数: 0
Coordinated Preventive-Corrective Control for Power System Transient Stability Enhancement Based on Machine Learning-assisted Optimization 基于机器学习辅助优化的电力系统暂态稳定增强协调预防-纠偏控制
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952260
Yunyang Xu, Kangkang Wang, Wei Wei, Xi Wang, Junyong Liu, Kangwen Li
A machine learning-assisted optimization method is proposed in this paper to coordinate the preventive generation rescheduling and the corrective generatioload shedding for power system transient stability enhancement. The coordinated control problem is firstly formulated as an extended security constrained optimal power flow (SCOPF) model that includes the corrective generationload shedding as controlling measures. Considering that the conventional methods are computationally intensive due to the repeated time-domain simulation (TDS)-based transient stability assessment (TSA), the neural process (NP) is proposed to develop the machine learning-based predictor for fast and simulation-free TSA. With the neural process-based predictor to be the surrogate model for fast TSA, the surrogate-assisted evolution programming approach is proposed for online coordinated preventive and corrective control against power system transient instability. The effectiveness of the proposed machine learning-assisted optimization method is demonstrated by the case study on the IEEE 39-bus system and numerical results show that the proposed method can generate the effective coordinated control actions for transient instability mitigation.
为了提高电力系统暂态稳定性,提出了一种机器学习辅助优化方法来协调预防性发电重调度和纠偏性发电减载。首先将协调控制问题表述为包含纠偏发电和减载作为控制措施的扩展安全约束最优潮流(SCOPF)模型。针对基于重复时域仿真(TDS)的暂态稳定评估(TSA)的传统方法计算量大的问题,提出利用神经过程(NP)开发基于机器学习的快速、无仿真的暂态稳定评估预测器。以基于神经过程的预测器作为快速TSA的代理模型,提出了基于代理辅助进化规划的电力系统暂态失稳在线协调预防与纠错控制方法。以IEEE 39总线系统为例,验证了所提机器学习辅助优化方法的有效性,数值结果表明所提方法能够产生有效的暂态失稳协调控制动作。
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引用次数: 1
A MSTUKF-based Technique for SOC Estimation of Li-ion Batteries for Electric Vehicles 基于mstukf的电动汽车锂离子电池荷电状态评估技术
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952275
Bingxin Wu, Feiyan Qin
Lithium-ion batteries have received widespread use by electric vehicles because of their high energy density, and so forth. Accurate estimation of state of charge (SOC) is very important for the high efficiency use and lifetime prolong of batteries. In this work, a strong tracking unscented Kalman filter method using multiple sub-optimal fading factors (MSTUKF) is employed to estimate lithium ion battery SOC. This method introduces multiple sub-optimal fading factors to traditional unscented Kalman filter algorithm, which effectively solves the robustness problem of the unscented Kalman filter method facing with the state mutation, and the model mismatch for battery degradation. Simulation results prove that this MSTUKF based method has a smaller prediction error rate than the traditional unscented Kalman filter method. The results also showed that this MSTUKF based method can be used for lithium-ion battery management of electric vehicles.
锂离子电池由于其高能量密度等特点,在电动汽车上得到了广泛的应用。准确估计电池的荷电状态(SOC)对电池的高效使用和延长电池寿命至关重要。本文采用多次最优衰落因子(MSTUKF)的强跟踪无气味卡尔曼滤波方法对锂离子电池SOC进行估计。该方法在传统的无气味卡尔曼滤波算法中引入了多个次优衰落因子,有效地解决了无气味卡尔曼滤波方法面临状态突变和电池退化模型失配的鲁棒性问题。仿真结果表明,该方法比传统的无气味卡尔曼滤波方法具有更小的预测错误率。结果还表明,基于MSTUKF的方法可用于电动汽车锂离子电池的管理。
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引用次数: 1
Coordinated Planning and Profit Distribution of Wind, Solar and Thermal Power Considering the Low-carbon Transformation of Thermal Power 考虑火电低碳转型的风能、太阳能、火电协同规划与收益分配
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952247
X. Wu, Wenyun Luo, Hua Gao, Lixiong Xu
Double-Carbon Policy has created a major change to the development of power system, and new power system with high percentage of clean energy has become the main goal of China's future power industry development. Under the background, the flexibility and stability of thermal power are particularly prominent because wind power and photovoltaic have high uncertainty. However, carbon emissions from thermal power generation have always been at high levels in the past, which puts great pressure on power systems to reduce carbon emissions. Therefore, this paper proposes a model of coordinated planning and profit distribution of wind, solar and thermal power considering the low-carbon transformation of thermal power. Shapley value method is used to distribute profits, the piecewise linearization strategy is used to solve the model, and core theory is used to verify the existence of cooperative games. The proposed method is applied to an example to verify the effectiveness. The profits of various market players can be guaranteed, and the low-carbon transformation strategy of thermal power units can reduce the overall carbon emissions of the power system while ensuring economic efficiency.
双碳政策使电力系统发展发生重大变化,清洁能源占比高的新型电力系统成为中国未来电力工业发展的主要目标。在此背景下,由于风电和光伏具有较高的不确定性,火电的灵活性和稳定性尤为突出。然而,过去火力发电的碳排放一直处于较高水平,这给电力系统减少碳排放带来了很大的压力。因此,本文提出了考虑火电低碳转型的风能、太阳能和火电协同规划和利润分配模型。采用Shapley值法进行利润分配,采用分段线性化策略求解模型,采用核心理论验证合作博弈的存在性。通过实例验证了该方法的有效性。各市场主体的利润可以得到保障,火电机组的低碳转型战略可以在保证经济效益的同时降低电力系统的整体碳排放。
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引用次数: 0
Network Security Protection Based on Deep Learning in Power Grid Information Construction 基于深度学习的电网信息化建设网络安全防护
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952300
Xiru Mao, Zheng Cheng, Yu Zhou
Aiming at the problems that traditional network security protection methods ignore the timeliness of intrusion and information leakage, a network security protection method based on deep learning in power grid information construction is proposed. Firstly, combined with the development needs of modern power grid, the overall architecture of information power grid is constructed to achieve multi service integration. Then, it quantifies the network information risk based on the attack graph and sends it into the Transformer model for analysis to detect the type of network attack and the location of attack nodes. Finally, the terminal active immune structure of trusted computing is designed to encrypt the information and complete the optimization of power grid information leakage prevention technology. Based on the KDD '99 data set, the experimental demonstration of the proposed method is carried out. The results show that the precision, recall and F1 value of the proposed method have reached 98.031%, 96.574% and 97.293% respectively, and the number of information leakage has been significantly reduced, effectively improving the security protection capability of the power grid.
针对传统网络安全防护方法忽视入侵和信息泄露时效性的问题,提出了一种基于深度学习的电网信息化建设网络安全防护方法。首先,结合现代电网的发展需求,构建信息电网总体架构,实现多业务集成;然后根据攻击图对网络信息风险进行量化,并将其送入Transformer模型进行分析,检测网络攻击的类型和攻击节点的位置。最后,设计可信计算的终端主动免疫结构,对信息进行加密,完成电网信息防泄漏技术的优化。基于KDD '99数据集,对该方法进行了实验验证。结果表明,所提方法的查全率、查全率和F1值分别达到98.031%、96.574%和97.293%,显著减少了信息泄露次数,有效提高了电网的安全防护能力。
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引用次数: 0
Research on the Information Interaction Evaluation Model for Serving Power Market Transactions 服务电力市场交易的信息交互评价模型研究
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952333
Jing Yang, Wei Wang, Lei Li, W. Weng, Tao Yu, Yijun Huang
In 2022, a new round of power market construction will be completed. At the same time, the reform of transmission and distribution prices and the proportion of market-based transactions will gradually increase, and the second batch of spot pilot projects in the power market will be constructed, providing strong support for the sustainable development of society and economy. The construction of Chinese power market is in its infancy, and the market operation mode, transaction mechanism and implementation path are still unclear. Therefore, the development of the electricity market should learn from the construction history of foreign electricity markets and combine the current situation in China firstly, by distinguishing the five main subjects of electricity market information interactive evaluation and proposing optimization plans, and finally deeply explore the information interaction evaluation model for serving electricity market transactions. The information interaction evaluation model is used as a booster in the development process of the electricity market, so that the overall market situation can be seen in the process of electricity market information interaction, and a new situation of rapid market development can be achieved.
2022年将完成新一轮电力市场建设。同时,输配电价改革和市场化交易比重将逐步提高,电力市场第二批现货试点项目将建设完成,为社会经济可持续发展提供有力支撑。中国电力市场建设处于起步阶段,市场运行模式、交易机制和实施路径尚不明确。因此,电力市场的发展应首先借鉴国外电力市场的建设历史,结合中国的现状,通过区分电力市场信息交互评估的五大主体并提出优化方案,最后深入探索服务于电力市场交易的信息交互评估模型。将信息交互评价模型作为电力市场发展过程中的助推器,在电力市场信息交互的过程中可以看到整体的市场情况,实现市场快速发展的新局面。
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引用次数: 0
Research on classification and coding technology of substation engineering model based on 3D design 基于三维设计的变电站工程模型分类编码技术研究
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952285
Jianqin Li, Junhui Hu, Jingnan Shi, Haibo Wang
Under the environmental requirements of three-dimensional design, the coding of the power grid engineering identification system can no longer adapt to the new technical environment and construction needs. In order to be suitable for the three-dimensional design technology environment and meet the requirements of engineering life-cycle management, this paper studies the demand analysis, classification and coding rules. In order to be suitable for the three-dimensional design technology environment and meet the requirements of engineering life-cycle management, this paper studies the demand analysis, classification and coding rules, and In order to be suitable for the three-dimensional design technology environment and meet the requirements of engineering life-cycle management, this paper studies the demand analysis, classification and coding rules, and application scenarios of substation engineering model classification and coding based on three-dimensional design. model classification not only needs to reflect the system composition and hierarchical relationship of substation engineering, but the standardized hierarchical classification Model classification not only needs to reflect the system composition and hierarchical relationship of substation engineering, but the standardized hierarchical classification is also a necessary condition to complete the non-destructive interaction of design models. The classification and coding design principles of three- dimensional design models of substations are put forward, and three-dimensional model coding application methods are proposed, such as identifying model types and equipment asset information, technical and economic financing and cost preparation, and engineering construction The three dimensional model coding application methods are proposed, such as identifying model types and equipment asset information, technical and economic financing and cost preparation, and engineering construction management.
在立体化设计的环境要求下,电网工程标识系统的编码已不能适应新的技术环境和建设需要。为了适应三维设计技术环境,满足工程全生命周期管理的要求,本文对需求分析、分类和编码规则进行了研究。为了适应三维设计技术环境,满足工程生命周期管理的要求,本文研究了需求分析、分类编码规则;为了适应三维设计技术环境,满足工程生命周期管理的要求,本文研究了需求分析、分类编码规则;以及基于三维设计的变电站工程模型分类编码应用场景。模型分类不仅需要反映变电站工程的系统组成和层次关系,而且标准化的层次分类也是完成设计模型非破坏性交互的必要条件。提出了变电站三维设计模型的分类编码设计原则,提出了识别模型类型和设备资产信息、技术经济融资和成本编制、工程建设等三维模型编码应用方法。技术经济融资、造价编制、工程施工管理。
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引用次数: 0
Research on Compressed Air Foam System Performance Diagnosis Combined with Engineering Practice 结合工程实践的压缩空气泡沫系统性能诊断研究
Pub Date : 2022-10-01 DOI: 10.1109/ACFPE56003.2022.9952227
Xianling Fu, Jiaqing Zhang, Jia Xie, Tiantian Tan, Lingxin He, Yi Guo
The compressed air foam system (CAFS) of the ultra-high voltage (UHV) converter station belongs to a new type of fire extinguishing system, which has less engineering application experience and lacks mature and effective performance diagnosis methods. With the goal of ensuring the operation reliability of the fixed compressed air foam system of the UHV converter station, the key parameters that affect the performance of compressed air foam (CAF) generators and the changes in foam performance in long-distance conveying pipelines of converter stations are identified, and the failure modes of the key components of the compressed air foam generating device are analyzed. Combined with the actual layout characteristics of the UHV converter station project, the CAFS simulation operation test and test injection are carried out, the CAFS generation device and the pipeline network transportation performance diagnosis technology of the UHV converter station are carried out, and the general method for the CAFS performance diagnosis of the UHV converter station is researched.
特高压(UHV)换流站压缩空气泡沫灭火系统(CAFS)属于一种新型灭火系统,工程应用经验较少,缺乏成熟有效的性能诊断方法。以保证特高压换流站固定压缩空气泡沫系统运行可靠性为目标,识别了影响压缩空气泡沫发生器性能的关键参数和换流站长输管道中泡沫性能的变化,分析了压缩空气泡沫产生装置关键部件的失效模式。结合特高压换流站工程的实际布局特点,进行了CAFS模拟运行试验和试验注入,对特高压换流站的CAFS发电装置和管网输送性能诊断技术进行了研究,研究了特高压换流站CAFS性能诊断的一般方法。
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引用次数: 0
期刊
2022 Asian Conference on Frontiers of Power and Energy (ACFPE)
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