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Finite Control Set MPC for Grid-Connected Photovoltaic Asymmetric Multiport Converter 并网光伏非对称多端口变换器的有限控制集MPC
Pub Date : 2022-12-09 DOI: 10.1109/SPIES55999.2022.10081977
Elias Collao, C. Rojas, A. Llor, Xiaoqiang Guo, H. Renaudineau, Jorge Marin
This article presents the finite control set model predictive control of a cross-connected half-bridge inverter for a single-phase grid-connected LCL-type filtered photovoltaic system. The FCS-MPC controls the full-state of the filter adopting a multiobjective control approach, ensuring a controlled exchange of power between the inverter and the power grid with low current harmonic distortion. The contribution of this paper is to generate the internal system references, by using power references and the mathematical system model. In addition, the multiple notch filter approach is revisited to set effectively the inverter switching frequency and its side bands. Finally, simulation results are presented to verify the performance of the converter and its control scheme.
本文提出了单相并网lcl型滤波光伏系统的交联半桥逆变器的有限控制集模型预测控制。FCS-MPC采用多目标控制方法控制滤波器的全状态,确保逆变器与电网之间的功率交换可控,电流谐波失真小。本文的贡献在于利用功率参考和数学系统模型生成系统内部参考。此外,本文还重新研究了多陷波滤波器的方法,以有效地设置逆变器的开关频率及其边带。最后给出了仿真结果,验证了变换器的性能和控制方案。
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引用次数: 0
Study on Pole-changing Starting Scheme for Line-start Permanent Magnet Synchronous Motor 直线起动永磁同步电动机变极起动方案研究
Pub Date : 2022-12-09 DOI: 10.1109/SPIES55999.2022.10082006
M. Tian, Yueyang Li, Xiuhe Wang, Wenliang Zhao, Mingzhe Li
Through Pole-changing starting strategy, line-start permanent magnet synchronous motor can obtain higher starting capacity by effectively suppressing the braking torque and pulsating torque during starting process. In this paper, the pole-changing starting scheme, including the design principles of the pole changing stator winding and the determination of pole numbers for minor-pole winding, are studied. The 8-pole line-start permanent magnet synchronous motor is taken as example, the corresponding 2/8, 4/8, 6/8 pole changing windings when starting with 2-, 4-, 6-pole modes are designed based on slot number phase diagram method and slot electromotive force star diagram. And through comparison, the reasonable pole-changing starting scheme is determined. Then, based on finite element method, a 30kW, 6/8 pole changing line-start permanent magnet synchronous motor is designed, the armature magnetic field and the fundamental air gap magnetic density under 6-pole and 8-pole states are calculated. Finally, a prototype is manufactured and tested.
通过变极起动策略,线路起动永磁同步电机可以有效抑制起动过程中的制动转矩和脉动转矩,从而获得较高的起动能力。本文研究了变极起动方案,包括变极定子绕组的设计原则和小极绕组极数的确定。以8极起动式永磁同步电动机为例,基于槽数相图法和槽电动势星图设计了2极、4极、6极起动时对应的2/ 8,4 / 8,6 /8变极绕组。通过比较,确定了合理的换极启动方案。然后,基于有限元法,设计了30kW 6/8变极线启动永磁同步电动机,计算了6极和8极状态下的电枢磁场和基隙磁密度。最后,制作了样机并进行了测试。
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引用次数: 0
Performance Analysis on Hydrogen-Battery Coordination Storage for Renewable Energy Accommodation in Large-Scale Power System 大型电力系统可再生能源调节用氢电池协同储能性能分析
Pub Date : 2022-12-09 DOI: 10.1109/SPIES55999.2022.10082521
Xiaopan Chen, Qi Yang, Na Meng, Yan Cheng, Jiang Wu, Guanchu Chen
Energy storage is an effective measure to address the renewable energy curtailment problem in large-scale power systems. However, installing the same type of energy storage has limited improvement to the entire system when the total installed capacity of energy storage is fixed. In this paper, an optimal scheduling method for the hydrogen-battery coordination storage system is proposed to further improve renewable energy accommodation by combining the advantages of different types of energy storage. The coupling relationship between the power grid and the heat grid is also considered a way to reduce energy waste. Case tests based on actual operating data analyze the performance of systems with different energy storage configurations. Results indicate the effectiveness of the proposed method. The optimal installed capacity for hydrogen energy storage and battery energy storage is further researched to provide advice for energy storage planning.
储能是解决大型电力系统中可再生能源弃电问题的有效措施。而在储能总装机容量一定的情况下,安装同类型储能对整个系统的改善有限。本文结合不同储能方式的优势,提出了一种氢电池协同储能系统的优化调度方法,以进一步提高可再生能源的适应性。电网和热网之间的耦合关系也被认为是减少能源浪费的一种方式。基于实际运行数据的案例测试分析了不同储能配置下系统的性能。结果表明了该方法的有效性。进一步研究了氢储能和电池储能的最优装机容量,为储能规划提供建议。
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引用次数: 0
Development and Application of Battery Management System for Storage System of the Auxiliary Power Unit of EMUs 动车组辅助动力单元储能系统电池管理系统的开发与应用
Pub Date : 2022-12-09 DOI: 10.1109/SPIES55999.2022.10082066
Hanxiao Liu, Yang Li, Bin Duan, Liwei Li
The bullet trains use electric traction. As a key component, the electrical system provides power for the operation of the whole vehicle. The auxiliary power unit (APU) provides power for the electric multiple unit (EMU) electrical system. Nickel-cadmium batteries are used as backup power supply. With the train running, the storage battery inevitably appears a certain degree of aging. In order to improve the service life and safety of EMU batteries, realize the omnidirectional monitoring and management of batteries, and establish the life prediction model and optimal replacement strategy of batteries, this paper designs a battery management system (BMS). The BMS adopts a master-slave structure. The master module is based on S32K144 automotive microcontroller, and the slave module is based on MC33771 in AFE chips. The BMS can collect and analyze the operation parameters of the battery in real time. The ampere-hour integration method and Extended Kalman Filter (EKF) were used to estimate the SOC (state of charge) of the battery in real time. Simulation in Simulink software and experimental verification show that the estimation error can be within 2%.
子弹头列车使用电力牵引。电气系统作为关键部件,为整车的运行提供动力。辅助动力单元(APU)为动车组(EMU)电气系统提供动力。镍镉电池作为备用电源。随着列车的运行,蓄电池不可避免地出现一定程度的老化。为了提高动车组蓄电池的使用寿命和安全性,实现对蓄电池的全方位监控和管理,建立蓄电池的寿命预测模型和最优更换策略,设计了蓄电池管理系统(BMS)。BMS采用主从结构。主模块基于S32K144汽车微控制器,从模块基于AFE芯片中的MC33771。BMS可以实时采集和分析电池的运行参数。采用安培-小时积分法和扩展卡尔曼滤波(EKF)实时估计电池的荷电状态。在Simulink软件中进行仿真并进行实验验证,结果表明该方法的估计误差在2%以内。
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引用次数: 1
A Comprehensive Evaluation of Distributed Photovoltaic Power Quality Based on Time Probability Distribution 基于时间概率分布的分布式光伏发电质量综合评价
Pub Date : 2022-12-09 DOI: 10.1109/SPIES55999.2022.10082061
Yang Liu, Lisheng Li, Anbin Zhang, Haidong Yu, Shidong Zhang, Min Huang, Wenbin Liu, Xinhong You, P. Zhang
As the grid-connected capacity of distributed photovoltaic (PV) continues to increase, key power quality problems such as voltage quality and waveform quality of distribution network caused by PV connection cannot be ignored. PV output has randomness and fluctuation, and the capacity of the low-voltage distribution network is relatively small, so distributed PV has a relatively large impact on power quality. Therefore, it is necessary to comprehensively evaluate PV power quality. First, based on the probability distribution of time, the distributed PV node data is processed. Then, the analytic hierarchy process and improved entropy weight method are used to get the comprehensive weight of the probability index matrix, so that the weight value of each power quality index can be allocated according to the power quality fluctuation of the connection point. At last, the traditional ideal solution method is improved, and the improved ideal solution method is used to comprehensively evaluate the distributed PV power quality.
随着分布式光伏并网容量的不断增加,光伏并网带来的配电网电压质量、波形质量等关键电能质量问题不容忽视。光伏输出具有随机性和波动性,且低压配电网容量较小,因此分布式光伏对电能质量的影响较大。因此,有必要对光伏发电质量进行综合评价。首先,根据时间的概率分布,对分布式PV节点数据进行处理。然后,采用层次分析法和改进的熵权法对概率指标矩阵进行综合赋权,使各电能质量指标的权重值可以根据接入点的电能质量波动情况进行分配。最后,对传统的理想解法进行改进,采用改进后的理想解法对分布式光伏发电质量进行综合评价。
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引用次数: 0
Research on Electricity Retail Transaction Process Based on Block Chain Technology 基于区块链技术的电力零售交易流程研究
Pub Date : 2022-12-09 DOI: 10.1109/SPIES55999.2022.10082205
Xilin Xu, Ye Zhang, Jian Zhang, Miao Liu, Na Zhang, Zongyuan Wang
As a distributed accounting technology, block chain technology has the characteristics of distributed storage and cannot be tampered with. Through the research on the electricity retail transaction process of block chain technology, it can effectively solve the problem of trust between transaction parties, optimize and reconstruct retail market transactions. Models and processes to achieve traceability of all links in the retail trading market, greatly improving transaction compliance. Firstly, this paper introduces the composition and technical characteristics of block chain, and proposes the electricity retail transaction process under the user-side open electricity market environment based on block chain technology. The entire transaction process is divided into 4 steps, namely the initiation stage, the transaction stage, the result authentication and calculation, and the data storage. Then, a detailed analysis of the electricity retail transaction process based on block chain technology is carried out.
区块链技术作为一种分布式记账技术,具有分布式存储的特点,不可篡改。通过对区块链技术在电力零售交易过程中的研究,可以有效地解决交易各方之间的信任问题,优化和重构零售市场交易。模型和流程实现零售交易市场各环节的可追溯性,大大提高交易合规性。本文首先介绍了区块链的组成和技术特点,提出了基于区块链技术的用户侧开放电力市场环境下的电力零售交易流程。整个交易过程分为4个步骤,即启动阶段、交易阶段、结果验证与计算、数据存储。然后,对基于区块链技术的电力零售交易流程进行了详细分析。
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引用次数: 0
Carbon Price Prediction of LSTM Method Based on Attention Mechanism 基于注意机制的LSTM方法碳价格预测
Pub Date : 2022-12-09 DOI: 10.1109/SPIES55999.2022.10082179
Xiaohu Luo, Runxin Yu, Yuchen Guo, Heping Jia, Dunnan Liu
With the proposal of double carbon target, carbon market has gradually become the focus of people’s attention, and accurate prediction of carbon price can help people better understand the dynamics of carbon market and allocate carbon emission quota reasonably. This paper carries out relevant research based on attention mechanism and long short-term memory (LSTM) network, and proposes a carbon price prediction model based on attention mechanism to improve LSTM method. This model can distinguish the importance of information, and in this way, important features in time series data can be obtained for prediction to improve the accuracy. Then, this paper takes the carbon price data of European Energy Exchange as an example to verify the performance of the model, and compares prediction results of the proposed model with those of other common forecasting models. The results show that the carbon price prediction model proposed in this paper has better fitting effect.
随着双碳目标的提出,碳市场逐渐成为人们关注的焦点,准确预测碳价格可以帮助人们更好地了解碳市场动态,合理分配碳排放配额。本文基于注意机制和长短期记忆(LSTM)网络进行了相关研究,提出了基于注意机制的碳价格预测模型,对LSTM方法进行了改进。该模型可以区分信息的重要性,从而获得时间序列数据中的重要特征进行预测,提高预测精度。然后,以欧洲能源交易所的碳价数据为例验证了模型的有效性,并将所提模型的预测结果与其他常用预测模型的预测结果进行了比较。结果表明,本文提出的碳价格预测模型具有较好的拟合效果。
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引用次数: 0
Positive and Negative Sequence Components Separation Control Method for PV Inverters Based on Second-order Generalized Integrator 基于二阶广义积分器的光伏逆变器正负序分量分离控制方法
Pub Date : 2022-12-09 DOI: 10.1109/SPIES55999.2022.10082063
Haoran Song, Houlei Gao, F. Peng, Bin Xu
The negative sequence components generated by the grid during asymmetric faults cause deviations and fluctuations of the output frequency from phase-locked loop and the output current and power from grid-connected PV inverter. To solve these problems, a phase-locked loop based on the second-order generalized integrator quadrature signal generator (SOGI-QSG) is designed to achieve the phase locking of the grid-connected inverter. A positive and negative sequence separation method is proposed to eliminate the influence of its DC component using a single SOGI-QSG unit, and then a control strategy is designed to suppress the negative sequence current. Finally, a grid-connected PV generation system simulation model is built in PSCAD/EMTDC to verify the rapidity of phase locking and negative sequence current suppression. The proposed control strategy can achieve the separation of positive and negative sequence current components rapidly and accurately, and improve the accuracy of output power of the grid-connected inverter.
非对称故障时电网产生的负序分量会引起锁相环输出频率和并网光伏逆变器输出电流和功率的偏差和波动。针对上述问题,设计了一种基于二阶广义积分器正交信号发生器(SOGI-QSG)的锁相环来实现并网逆变器的锁相。提出了一种利用单个SOGI-QSG单元消除直流分量影响的正负序分离方法,并设计了抑制负序电流的控制策略。最后,在PSCAD/EMTDC中建立了并网光伏发电系统仿真模型,验证了锁相和负序电流抑制的快速性。所提出的控制策略能够快速准确地实现正、负序电流分量的分离,提高并网逆变器输出功率的精度。
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引用次数: 0
Joint State of Charge and State of Health Estimation of Lithium-ion Battery Using Improved Adaptive Dual Extended Kalman Filter Based on Piecewise Forgetting Factor Recursive Least Squares 基于分段遗忘因子递归最小二乘改进自适应双扩展卡尔曼滤波的锂离子电池充电状态与健康状态联合估计
Pub Date : 2022-12-09 DOI: 10.1109/SPIES55999.2022.10082478
Yawen Liang, Shunli Wang, Yongcun Fan, Xiao Yang, Yanxin Xie, C. Fernandez
This work aims to improve the accuracy of state of charge estimation for lithium-ion battery, as well as to accurately estimate state of health. This study presents a piecewise forgetting factor recursive least squares method based on integral separation with a second-order resistor-capacitor model and uses a novel adaptive filter based on error covariance correction on the conventional dual extended Kalman filter. The experiments show that the error of SOC estimation is less than 0.61% and the error of SOH is less than 0.09% under different complex conditions, the proposed method can effectively improve the estimation accuracy and robustness.
本工作旨在提高锂离子电池充电状态估计的准确性,并准确估计健康状态。提出了一种基于二阶电阻-电容模型积分分离的分段遗忘因子递推最小二乘法,并在传统的对偶扩展卡尔曼滤波的基础上采用了一种基于误差协方差修正的自适应滤波。实验表明,在不同复杂条件下,SOC估计误差小于0.61%,SOH估计误差小于0.09%,该方法可有效提高估计精度和鲁棒性。
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引用次数: 0
A Method to Estimate the Power Generation of PV Power Stations Along the Highway Based on Digital Maps 基于数字地图的公路沿线光伏电站发电量估算方法
Pub Date : 2022-12-09 DOI: 10.1109/SPIES55999.2022.10081981
Jiao Ma, Yunpeng Zhang, Li Zhang
Solar energy, as major clean energy source, has been rapid development in recent years. Before the construction of PV power station, it is necessary to carry out reasonable planning, in order to make rational use of solar energy resources wisely. The power consumption along the highway is very stable and showing an increasing trend. Highway slopes are usually unused public area with high accessibility and few restrictions, which are regarded as potential installation sites. In order to estimate the power generation capacity of PV power stations at different locations along the highway, a method based on digital maps is proposed for calculating actual available power generation of PV power station along the highway. The method is applied to a case study of a highway in Linyi, Shandong Province, to determine the appropriate installation location of PV power stations.
太阳能作为一种主要的清洁能源,近年来得到了迅速的发展。在光伏电站建设之前,必须进行合理的规划,以便合理地利用太阳能资源。高速公路沿线的电力消耗非常稳定,并呈上升趋势。公路斜坡通常是未使用的公共区域,可达性高,限制少,被视为潜在的安装地点。为了估算高速公路沿线不同位置光伏电站的发电容量,提出了一种基于数字地图的高速公路沿线光伏电站实际可用发电量计算方法。以山东省临沂市某高速公路为例,应用该方法确定光伏电站的适宜安装位置。
{"title":"A Method to Estimate the Power Generation of PV Power Stations Along the Highway Based on Digital Maps","authors":"Jiao Ma, Yunpeng Zhang, Li Zhang","doi":"10.1109/SPIES55999.2022.10081981","DOIUrl":"https://doi.org/10.1109/SPIES55999.2022.10081981","url":null,"abstract":"Solar energy, as major clean energy source, has been rapid development in recent years. Before the construction of PV power station, it is necessary to carry out reasonable planning, in order to make rational use of solar energy resources wisely. The power consumption along the highway is very stable and showing an increasing trend. Highway slopes are usually unused public area with high accessibility and few restrictions, which are regarded as potential installation sites. In order to estimate the power generation capacity of PV power stations at different locations along the highway, a method based on digital maps is proposed for calculating actual available power generation of PV power station along the highway. The method is applied to a case study of a highway in Linyi, Shandong Province, to determine the appropriate installation location of PV power stations.","PeriodicalId":412421,"journal":{"name":"2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126986891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)
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