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2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)最新文献

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Probabilistic Economic and Adequacy Evaluation of the Zero-Carbon Power Systems with CCUS 具有CCUS的零碳电力系统的概率经济和充分性评估
Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783966
Tianying Yu, Peixuan Li, Zitong Wang, Qing-Yu Xiong, Weifeng Wang, Haipeng Xie
Under the ambition of carbon neutrality, the new energy installed capacity witnesses rapid growth worldwide. Therefore, with the goal of minimizing load shedding and maximizing new energy consumption in zero-carbon power systems, this study proposes a probabilistic economic and adequacy evaluation method. First, the paper modeled coal-fired power plants with carbon capture, utilization and storage (CCUS) equipment, concentrating solar power (CSP) plants with thermal energy storage (TES) systems, wind power plants, photovoltaic power plants and battery energy storage systems (BESS) in the zero-carbon power system. In the coal-fired power plants with CCUS equipment, the constraints of electric power output and zero carbon emissions were considered; considering the time-series state of charge constraint, a model of the battery energy storage system was established; considering the SOC of the thermal energy storage system and power balance constraints, a CSP plant model was established. The sequential Monte Carlo simulation method is used to build the process framework of probabilistic economic and adequacy evaluation. The uncertainty of new energy sources and load, and the stochastic outage of components are all considered in the framework. The effectiveness of the probabilistic economic and adequacy evaluation method for the zero-carbon power system was verified by the in-depth analysis of the modified IEEE RTS79.
在碳中和的雄心下,全球新能源装机容量快速增长。因此,本研究以零碳电力系统减载最小化和新能源消耗最大化为目标,提出了一种概率经济和充分性评估方法。首先,本文建立了零碳电力系统中具有碳捕集利用与封存(CCUS)设备的燃煤电厂、具有热储能(TES)系统的聚光太阳能(CSP)电厂、风力发电厂、光伏发电厂和电池储能系统(BESS)的模型。在配备CCUS设备的燃煤电厂中,考虑了发电量约束和零碳排放约束;考虑时间序列电荷约束状态,建立了电池储能系统模型;考虑蓄热系统的SOC和功率平衡约束,建立了光热电站模型。采用序贯蒙特卡罗模拟法构建了概率经济性和充分性评价的过程框架。该框架考虑了新能源和负荷的不确定性以及部件的随机停运。通过对改进后的IEEE RTS79的深入分析,验证了零碳电力系统概率经济性和充分性评估方法的有效性。
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引用次数: 1
Low-voltage Theoretical Line Loss Calculation Based on Improved K-means Clustering and Fitting 基于改进k均值聚类与拟合的低压理论线损计算
Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783617
Haihang He, Ze He, Yang Ji, Wei Feng
With the problem of inaccurate calculation results due to missing data such as topology and operating load when calculating low-voltage theoretical line loss, this paper establishes a theoretical line loss calculation model, and uses machine learning algorithms Solve. In the solution process, the influence of abnormal data is reduced by improving the K-means algorithm, and for typical daily types, the relationship between the power consumption in transformer area and the variable line loss power is obtained by the fitting algorithm to obtain the theoretical line loss reference value. The basic data of this method is highly fault-tolerant, suitable for actual engineering calculations, can provide accurate theoretical line loss reference values, meet the requirements of line loss analysis in transformer area, and provide an effective basis for the formulation of loss reduction measures.
针对低压理论线损计算时缺少拓扑、运行负荷等数据导致计算结果不准确的问题,本文建立了理论线损计算模型,并采用机器学习算法求解。在求解过程中,通过改进K-means算法降低异常数据的影响,对于典型日型,通过拟合算法得到变压器区域用电量与变线损功率之间的关系,得到理论线损参考值。该方法的基础数据容错能力强,适用于实际工程计算,可提供准确的理论线损参考值,满足变压器领域线损分析的要求,为制定降损措施提供有效依据。
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引用次数: 0
Multi Objective Optimal Method for New Energy Power Grid Considering Maximum Demand Response 考虑最大需求响应的新能源电网多目标优化方法
Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783865
F. Gao, Ziqi Zhu
After the new energy access to distribution power grid, when new energy output is high, the power flow of the grid could be reversed probably and the overvoltage problem may be caused. In view of this, on the basis of the optimal allocation of reactive power compensation device of distribution network, this paper further introduces the demand response(DR) load, such as civil load and industrial load, to participate in the optimization. A multi-objective optimization operation method of power grid considering demand response is proposed. Based on the traditional power loss minimization and voltage deviation minimization, the new objective function is to increase the maximum utilization ratio of demand response in voltage and reactive power optimization process. And capacitors banks (CB), reactor banks (RB) and static var generator (SVG) and DR are used as control variables to optimize the voltage and reactive power of power grid, and the regulation effect is the best. Finally, IEEE 33 bus distribution system is used to test the proposed control method.
新能源进入配电网后,当新能源输出较大时,电网潮流很可能发生反转,引起过电压问题。鉴于此,本文在配电网无功补偿装置优化配置的基础上,进一步引入民用负荷和工业负荷等需求响应负荷参与优化。提出了一种考虑需求响应的电网多目标优化运行方法。在传统的功率损耗最小化和电压偏差最小化的基础上,新的目标函数是在电压和无功优化过程中提高需求响应的最大利用率。并以电容器组(CB)、电抗器组(RB)、静态无功发电机(SVG)和DR作为控制变量,对电网电压和无功功率进行优化,调节效果最佳。最后,在IEEE 33总线配电系统上对所提出的控制方法进行了测试。
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引用次数: 1
Research of droop control strategy in DC distribution network 直流配电网下垂控制策略研究
Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783918
Yibo Li, Dingkang Liang, Lijiang Li
With the development of direct current (DC) distribution network, more attentions are paid to the influence of droop control strategy. Nonlinear droop control has unique advantage in the current sharing accuracy and bus voltage stability. As we know, during the operation of the DC system, the bus voltage should be stable, and the output of each power port should be reasonably distributed. However, the traditional droop control can increase the droop gains to improve the accuracy of current sharing, but at the same time, it will lead to a large bus voltage drop, which cannot meet the requirements of system in the current sharing and bus voltage adjustment rate. In this paper, related research is carried out to solve the system requirements of the above problems. First, this paper focuses on the mathematical control models of the linear. Next, analyses the advantages of nonlinear droop control. Then, this paper discusses the bus voltage drop in the load side and current sharing in the DC system. Final, this paper evaluates the line and converter loss in the efficiency of DC system and compares the different control strategies in the Matlab.
随着直流配电网的发展,下垂控制策略的影响越来越受到人们的关注。非线性下垂控制在电流共享精度和母线电压稳定性方面具有独特的优势。我们知道,在直流系统运行过程中,母线电压要稳定,各电源端口的输出要合理分布。而传统的降压控制可以通过增大降压增益来提高电流共分担的精度,但同时会导致母线电压降较大,不能满足系统在电流共分担和母线电压调节速率方面的要求。本文针对上述问题的系统需求进行了相关研究。首先,本文重点研究了线性系统的数学控制模型。其次,分析了非线性下垂控制的优点。然后,对直流系统中负载侧母线压降和电流分担问题进行了讨论。最后,对直流系统效率中的线路损耗和变换器损耗进行了评估,并在Matlab中对不同的控制策略进行了比较。
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引用次数: 0
Comparison of harmonics between Panama power supply and traditional AC UPS power supply system 巴拿马供电系统与传统交流UPS供电系统谐波比较
Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783659
Miaoxian Zhou, Fang Guo, A. Wen, Bingyao Zheng, Shangyun Deng, Guangshan Huang, Ruiyang Wang
With the vigorous development of the digital age, the development momentum of data center construction is also getting stronger and stronger. The data center power supply system requires highly reliable power supply to maintain the normal operation of IT equipment, so the power supply technology of the data center equipment room is diversified. The most commonly used power supply scheme in traditional data centers is AC UPS, and the wide-scale application of AC UPS brings serious harmonic pollution to the power grid. As a new type of power supply technology, Panama power supply was born, which is a very important breakthrough for data center power supply technology. This paper studies the AC UPS and Panamanian power supply technology, builds the Panamanian power supply and the AC UPS power supply through PSCAD/EMTDC simulation software, and observes the harmonics of the two power supply technologies for analysis and comparison.
随着数字时代的蓬勃发展,数据中心建设的发展势头也越来越强。数据中心供电系统需要高可靠性的供电来维持IT设备的正常运行,因此数据中心机房的供电技术是多样化的。传统数据中心最常用的供电方案是交流UPS,交流UPS的大规模应用给电网带来了严重的谐波污染。巴拿马电源作为一种新型供电技术的诞生,是数据中心供电技术的一个非常重要的突破。本文对交流UPS和巴拿马电源技术进行了研究,通过PSCAD/EMTDC仿真软件搭建了巴拿马电源和交流UPS电源,并观察了两种电源技术的谐波进行分析比较。
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引用次数: 0
Measurement of Transmission Line Sag Based on Video Image 基于视频图像的输电线路垂度测量
Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783903
J. Zhang, Nailong Zhang, Cang Bai, Xiao Tan, Qiwen. Wu, Peilin Gong
The sag and the distance to the ground of transmission lines are the main indicators of the line design and operation, and the accurate measurement of the two indicators is extremely important for the safe operation of line. Combining image processing and photogrammetry technology, a new transmission line sag measurement method is proposed in this research. The unmanned aerial vehicle (UAV)-based data acquisition system was used to take multiple on-site images from the same transmission line at different shooting positions and angles. The image segmentation algorithm combining smoothing filtering, edge detection and boundary tracking was used to identify the sag feature points in the images. The stereo image pair forward intersection algorithm was used to derive the actual coordinate value of the corresponding sag point. Then, the accurate measurement of the transmission line sag and the distance to the ground was achieved. Compared with the actual measurement results of the on-site laser rangefinder, the average error of the new measurement method was less than 1.3%, and the maximum error was less than 2.8%, indicating that the proposed method was correct and effective and could meet the needs of practical applications.
输电线路的垂度和离地距离是线路设计和运行的主要指标,这两个指标的准确测量对线路的安全运行极为重要。本研究将图像处理技术与摄影测量技术相结合,提出了一种新的输电线路垂度测量方法。采用基于无人机的数据采集系统,从同一条传输线不同拍摄位置和角度拍摄多幅现场图像。将平滑滤波、边缘检测和边界跟踪相结合的图像分割算法用于识别图像中的凹陷特征点。采用立体图像对前向交会算法,推导出相应凹陷点的实际坐标值。在此基础上,实现了输电线路垂度和离地距离的精确测量。与现场激光测距仪的实际测量结果相比,新测量方法的平均误差小于1.3%,最大误差小于2.8%,表明该方法正确有效,能够满足实际应用的需要。
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引用次数: 0
Home Smart Energy Management System for Optimized Electricity Cost Reduction Using Photovoltaic-Powered EV Charging Station 利用光伏电动汽车充电站优化降低电费的家庭智能能源管理系统
Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783636
Qin Yan, Xiaofan Tu
In order to achieve the goal of "Carbon Peak Reduction and Carbon Neutrality" and reduce the cost of home electricity consumption, this paper proposes a home smart energy management system (HSEMS), which optimizes home energy consumption by utilizing the photovoltaic-powered electric vehicles charging station. While ensuring the daily energy demand of home load and considering the charging/discharging demand of electric vehicles, the HSEMS energy consumption model and cost reduction strategy are implemented based on a four-stage optimization algorithm. In the proposed strategy, the profit is gained by optimally coordinating the different types of household load, the EV energy storage, parked electric vehicles charging station and the roof PV generation. Through studying the cases, the electricity cost using conventional strategy and the proposed strategy are compared and effectiveness of the proposed strategy to benefit the electricity users by saving cost and making profit is validated.
为了实现“碳降峰、碳中和”的目标,降低家庭用电成本,本文提出了一种家庭智能能源管理系统(HSEMS),利用光伏电动汽车充电站优化家庭能耗。在保证家庭负荷日常能源需求的同时,考虑电动汽车充放电需求,基于四阶段优化算法实现HSEMS能耗模型和成本降低策略。在本文提出的策略中,通过优化协调不同类型的家庭负荷、电动汽车储能、停放电动汽车充电站和屋顶光伏发电来获得利润。通过案例研究,比较了采用常规策略和提出的策略的电力成本,验证了提出的策略通过节约成本和实现利润而使用户受益的有效性。
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引用次数: 0
Research on Comprehensive Utility Evaluation Model of the Infrastructure ERP System 基础设施ERP系统综合效用评价模型研究
Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783855
Li Zhou, Ran Chen, Xuejun Tang, Fangchao Ke, Wanfang Liu, Liqin Ren, Lingle Zhang
To satisfy the development demands of power grid infrastructure projects, aiming at the challenges of effective management and efficient application of numerous infrastructure projects and project cost data, this paper proposes a comprehensive utility evaluation model for infrastructure enterprise resource planning (ERP) systems, which contains two evaluation systems: performance evaluation and value evaluation of infrastructure ERP systems. First, the proposed model adopts the analytic hierarchy process (AHP) to evaluate the performance and value evaluation index system of infrastructure ERP systems and obtain subjective weights. Second, and improve the scientificity and objectivity of evaluation, the proposed model adopts entropy methods to evaluate its objective attributes. Finally, the proposed model combines subjective and objective weights to obtain the final comprehensive utility evaluation weight. The effectiveness of the proposed model is verified through a case study. The results show that the proposed model can effectively reflect the benefits and value of the system.
为满足电网基础设施项目的发展需求,针对大量基础设施项目和项目成本数据的有效管理和高效应用所面临的挑战,提出了基础设施企业资源规划(ERP)系统综合效用评价模型,该模型包含基础设施ERP系统绩效评价和价值评价两个评价体系。首先,该模型采用层次分析法(AHP)对基础设施ERP系统的绩效和价值评价指标体系进行评价,获得主观权重;其次,采用熵值法对其客观属性进行评价,提高了评价的科学性和客观性。最后,将主客观权重相结合,得到最终的综合效用评价权重。通过实例验证了该模型的有效性。结果表明,该模型能有效地反映系统的效益和价值。
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引用次数: 1
Abnormal Battery Identification via Graph Signal Processing Method 基于图信号处理的电池异常识别方法
Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783805
Yi Wang, Bochao Zhao, Xuhao Li, Wenpeng Luan, Bo Liu
In recent years, the penetration of electric bicycles (EBs) is increasing rapidly in China because of their low prices and convenience. However, fires caused by battery failure in both charging and discharging procedures are reported frequently, leading to property losses and human injuries even life loss. Therefore, early anomaly detection during the charging and discharging procedure of an EB is of great significance for reducing the fire hazard by identifying its aging status and predicting faults. In this paper, we firstly define a series of features indicating the abnormal events on the data collected by the battery management system during EB discharging periods, then apply graph signal processing concepts to detect abnormal discharging events, contributing to further fault location, retrofit and life assessment on battery cells, etc. In the experiments, the proposed method is validated on thousands of discharging cycles collected in the real world under two evaluation metrics and outperforms two benchmarks based on fuzzy c-means and affinity propagation.
近年来,由于价格低廉和方便,电动自行车在中国的普及率正在迅速提高。然而,由于电池在充放电过程中出现故障而引发火灾的事件屡见不鲜,造成财产损失、人身伤害甚至生命损失。因此,在电磁铁充放电过程中进行早期异常检测,识别电磁铁的老化状态,预测电磁铁的故障,对降低电磁铁的火灾危险性具有重要意义。本文首先定义了电池管理系统收集的EB放电期间数据异常事件的一系列特征,然后应用图信号处理的概念来检测异常放电事件,为进一步的电池单元故障定位、改造和寿命评估等提供帮助。在实验中,该方法在两种评价指标下对现实世界中收集的数千个放电周期进行了验证,并优于基于模糊c-means和亲和传播的两个基准。
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引用次数: 0
Failure Mechanism and Improvement Measures of Fireproof Sealing in Valve Hall of UHV Converter Station 特高压换流站阀厅防火密封失效机理及改进措施
Pub Date : 2022-04-01 DOI: 10.1109/ACPEE53904.2022.9783878
Fengju Shang, Jiaqing Zhang, Taiyun Zhu, Yi Guo, Yubiao Huang, Tao Sun, Rui Liu
This paper compared and analyzed the current standards for fireproof sealing of valve hall in UHV converter station. It was found that the explosion effect was not taken into account in the design of fireproof sealing according to the current specifications. At the same time, the existing fire resistance test of valve hall was based on the standard temperature rise curve (wood stack fire), which cannot deal with the hot oil fire accompanied by explosion and high temperature in UHV converter transformer. Two modes of fire prevention and sealing failure of valve hall were proposed. On this basis, an improved design scheme including anti-explosion door and plugging fire prevention strengthening was proposed, and its effectiveness was verified by detonation impact simulation test. Finally, the evaluation system of UHV converter station valve hall fireproof sealing was proposed, including explosion resistance, fire resistance, fire weather resistance, electromagnetic shielding performance and mechanical properties.
对现行特高压换流站阀厅防火密封标准进行了比较分析。研究发现,按照现行规范进行防火密封设计时,未考虑爆炸效应。同时,现有的阀厅耐火性试验是基于标准温升曲线(木堆火灾),无法处理特高压换流变压器中伴随爆炸和高温的热油火灾。提出了阀厅防火和密封失效的两种模式。在此基础上,提出了包括防爆门和封堵防火强化在内的改进设计方案,并通过爆轰冲击模拟试验验证了其有效性。最后,提出了特高压换流站阀厅防火密封的评价体系,包括防爆性能、防火性能、防火耐候性、电磁屏蔽性能和力学性能。
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引用次数: 0
期刊
2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)
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