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2022 IEEE Sustainable Power and Energy Conference (iSPEC)最新文献

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Optimal operation of virtual energy station based on internal electricity-hydrogen P2P transactions 基于内部电氢P2P交易的虚拟能源站优化运行
Pub Date : 2022-12-04 DOI: 10.1109/iSPEC54162.2022.10033021
Jianyong Ding, Ciwei Gao, Juan Zuo, Xinhong Wu
The development of tradable energy provides a market model to facilitate energy sharing among multi-distributed energy supply systems. While natural gas blending with hydrogen helps to improve system operation economy and reduce pollutant emissions. Therefore, on the basis of considering natural gas blending with hydrogen, an optimal operation model of internal multi-energy sharing within VES is established. P2P transactions are carried out among various resource entities with electricity and hydrogen as trading objects. Finally, it is verified that the proposed model and method can improve the economy of each principal and effectively reduce the overall operating cost of the virtual energy station through a case study.
可交易能源的发展为促进多分布式能源供应系统之间的能源共享提供了一种市场模式。而天然气与氢气的混合有利于提高系统运行经济性,减少污染物排放。因此,在考虑天然气配氢的基础上,建立了VES内部多能共享的优化运行模型。P2P交易以电力和氢气为交易对象,在各种资源实体之间进行。最后,通过实例验证了所提出的模型和方法能够提高各主体的经济性,有效降低虚拟能源站的总体运行成本。
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引用次数: 0
Power Quality Improvement of a Solar Powered Bidirectional Smart Grid and Electric Vehicle Integration System 太阳能双向智能电网与电动汽车集成系统电能质量改进研究
Pub Date : 2022-12-04 DOI: 10.1109/iSPEC54162.2022.10033056
Nikitha Paidimukkala, N. Das, Syed Islam
This research paper mainly focuses on photovoltaic (PV) smart grid (SG) and electric vehicles (EVs) integration with two-way power flow capabilities by charging/discharging and power quality improvements using the power converters. Due to the increase of energy demand by rapid growth of population, it is necessary to modernize the power grid with improved power quality, such that the energy converted by solar PV (SPV) can be transmitted and stored as the excess amount of power in terms of batteries to use at peak load demand. The batteries of the EVs charge at a low level of demand and discharged at peak demand. The EVs can function both as a load and an energy supplier to the SG. The simulation results demonstrate the functioning of interfaced smart G2V system by observing and improving the factors such as power factor, power regulation and elimination of harmonics by constructing a power electronic network which can perform bidirectional power flow and balancing the network using MATLAB/Simulink software. Subsequentially, the improvement of power quality of the integrated system by analyzing power compensation, voltage regulation and harmonics mitigation of the integration system has been examined in detail.
本文主要研究光伏(PV)智能电网(SG)和电动汽车(ev)集成的双向功率流能力,通过充电/放电和使用电源转换器改善电能质量。由于人口的快速增长导致能源需求的增加,有必要对电网进行现代化改造,提高电能质量,使太阳能光伏发电(SPV)转换的能量可以作为多余的电能通过电池传输和储存,以满足高峰负荷需求。电动汽车的电池在低需求时充电,在高峰需求时放电。电动汽车既可以作为负载,也可以作为SG的能源供应商。仿真结果表明,通过使用MATLAB/Simulink软件构建可实现双向潮流和平衡的电力电子网络,观察和改进功率因数、功率调节和谐波消除等因素,验证了接口智能G2V系统的功能。在此基础上,详细分析了综合系统的功率补偿、电压调节和谐波抑制对综合系统电能质量的改善作用。
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引用次数: 0
Short-Term Load Forecasting with Temporal Fusion Transformers for Power Distribution Networks 基于时序融合变压器的配电网短期负荷预测
Pub Date : 2022-12-04 DOI: 10.1109/iSPEC54162.2022.10033079
Huanyue Liao, K. Radhakrishnan
Short-Term Load Forecasting (STLF) is essential to the operation and management of modern power distribution networks. Accurate STLF can significantly improve the demand-side management of the power system. In this paper, a new method with high-performance forecasting performance is presented to forecast short-term loads with deep learning. The temporal fusion transformers (TFT) approach is an attention-based deep learning model with interpretable insights into temporal dynamics. The sequence-to-sequence model processes the historical and future covariates to enhance the forecasting performance. Gated Residual Network (GRN) is applied to drop out unnecessary information and improve efficiency. The proposed method is tested on anonymized data from a university campus. The anomalies and missing data are imputed with the k-nearest neighbor (KNN) method. The testing results demonstrate the effectiveness of the proposed method.
短期负荷预测是现代配电网运行管理的重要内容。准确的STLF可以显著改善电力系统的需求侧管理。本文提出了一种基于深度学习的短期负荷预测方法。时间融合转换器(TFT)方法是一种基于注意力的深度学习模型,具有对时间动态的可解释见解。序列到序列模型处理历史和未来协变量,以提高预测性能。采用门控残差网络(GRN)剔除不必要的信息,提高效率。该方法在某大学校园的匿名数据上进行了测试。采用k-最近邻(KNN)方法对异常和缺失数据进行估算。测试结果证明了该方法的有效性。
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引用次数: 0
iSPEC 2022 Author Index iSPEC 2022作者索引
Pub Date : 2022-12-04 DOI: 10.1109/ispec54162.2022.10032986
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引用次数: 0
Design of DC – DC Boost Converter for Solar Photovoltaic Systems Based on Monthly Averaging of Irradiance & Temperature 基于月平均辐照度和温度的太阳能光伏系统DC - DC升压变换器设计
Pub Date : 2022-12-04 DOI: 10.1109/iSPEC54162.2022.10033030
Priyal Bhagali, R. Thakur
Power Generation with solar photovoltaics (PV) has been increasing worldwide to mitigate the harmful environmental effects of fossil fuelled based energy resources. A typical grid connected solar PV power generation plant consists of the PV array and a DC – DC boost converter. The inductor value in a DC – DC boost converter depends on the input voltage, output voltage, switching frequency and the allowable inductor current ripple. Whereas, size of the capacitor is determined by, the allowable voltage ripple, switching frequency and the output current. The input voltage in a PV system changes with temperature conditions, inductor current and output current change with irradiance levels as well as with variations in load. Therefore, in this research work, a simple and explicit method of designing and analyzing the performance of a DC–DC boost converter based on monthly average values of solar irradiances & temperatures has been presented and through simulation results it has been proved that the designed boost converter integrated with P & O MPPT algorithm & INC MPPT algorithm, yields the desired yearly performance. Monthly average values have been selected rather than seasonal averages with the aim of achieving greater accuracy in the calculated values of inductor and capacitor. A 1.248 MW array has been considered for design of the boost converter.
为了减轻化石燃料能源对环境的有害影响,太阳能光伏发电在世界范围内不断增加。典型的并网太阳能光伏电站由光伏阵列和直流升压变换器组成。直流-直流升压变换器的电感值取决于输入电压、输出电压、开关频率和允许电感电流纹波。而电容器的尺寸则由允许的电压纹波、开关频率和输出电流决定。光伏系统的输入电压随温度变化,电感电流和输出电流随辐照度和负载变化而变化。因此,在本研究工作中,提出了一种简单而明确的基于月平均太阳辐照度和温度的DC-DC升压变换器的性能设计和分析方法,并通过仿真结果证明,所设计的升压变换器集成了P & O MPPT算法和INC MPPT算法,可以获得期望的年性能。选择月平均值而不是季节平均值,目的是在电感和电容器的计算值中获得更高的准确性。升压变换器的设计考虑了一个1.248 MW阵列。
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引用次数: 0
Local Energy Markets Improve Investment Returns of Residential BESS by Arbitrage Opportunities 地方能源市场通过套利机会提高住宅BESS投资回报
Pub Date : 2022-12-04 DOI: 10.1109/iSPEC54162.2022.10032992
Liaqat Ali, M. I. Azim, Jan Peters, E. Pashajavid, V. Bhandari, Anand Menon, Vinod Tiwari, Jemma Green
Battery energy storage systems (BESS) are a crucial component of local energy markets (LEMs). This paper examines a LEM of 100 participants from an Australian town, comprising three distinct players; consumers, prosumers with solar photovoltaics (PVs), and prosumers with solar PVs and BESS. BESS investment returns are calculated based on four capital budgeting techniques. Because there is an additional optimised revenue stream through peer-to-peer (P2P) trading-based LEM, the investment returns for residential BESS are better. Better returns mean that LEMs could encourage people to buy and install more BESS. The study finds the investment returns of residential BESS, and performs comparative analysis to prove LEM is a better solution to improve returns. Additionally, the results also show that participants with BESS get maximum reduction in their cost of energy usage.
电池储能系统(BESS)是当地能源市场(LEMs)的重要组成部分。本文研究了一个来自澳大利亚小镇的100名参与者的LEM,其中包括三个不同的参与者;消费者,太阳能光伏(pv)的产消者,太阳能光伏和BESS的产消者。BESS投资回报是基于四种资本预算技术计算的。因为有一个额外的优化收入流通过点对点(P2P)交易为基础的LEM,住宅BESS的投资回报更好。更好的回报意味着lem可以鼓励人们购买和安装更多的BESS。研究发现了住宅BESS的投资收益,并进行了对比分析,证明LEM是提高收益的更好的解决方案。此外,结果还表明,BESS的参与者在能源使用成本方面得到了最大的降低。
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引用次数: 1
High Gain Boost Converter With Ripple Free Input Current For Solar Power Integration In Dc Microgrid 用于直流微电网太阳能集成的无纹波输入电流高增益升压变换器
Pub Date : 2022-12-04 DOI: 10.1109/iSPEC54162.2022.10032983
K. Singh, Kalpana Chaudhary
A high gain quadratic boost converter with continuous input current is proposed in this paper.The ripple in the current is eliminated in the designed two-phase interleaved converter by operating the input side switches at the fixed duty cycle of 0.5. The transformerless converter operation with high gain makes the converter appropriate for integrating photovoltaic (PV) power to isolated DC microgrid. The common intermediate capacitor reduces the component count and voltage stress on the input side switches; thus, achieving high efficiency at a lower cost. The Proposed interleaved quadratic boost converter is ideal for PV power extraction as it exhibits no input current ripple and has high input current handling capability. A 1000 W two-phase interleaved prototype of the converter is designed, developed, and analyzed to verify its working principle. The performance testing is done with the laboratory prototype with a DC microgrid of 230 V connected to the converter’s output.
提出了一种具有连续输入电流的高增益二次升压变换器。在设计的两相交错变换器中,通过以固定占空比0.5操作输入侧开关来消除电流中的纹波。无变压器变流器的高增益特性使其适合于将光伏发电集成到隔离的直流微电网中。公共中间电容减少了输入侧开关上的元件数和电压应力;从而以较低的成本实现高效率。所提出的交错二次升压变换器具有无输入电流纹波和高输入电流处理能力的特点,是光伏发电提取的理想选择。设计、研制了1000w两相交错变换器样机,并对其工作原理进行了分析验证。性能测试是在实验室原型上完成的,其中一个230 V的直流微电网连接到转换器的输出端。
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引用次数: 1
A Digital Twin Approach for Fault Diagnosis in Unmanned Ships Integrated Power System 基于数字孪生的无人船综合动力系统故障诊断方法
Pub Date : 2022-12-04 DOI: 10.1109/iSPEC54162.2022.10033012
L. Qi, S. Ruihao, Yan Xingang, Y. Moduo, Su Lei, H. Wentao
The Integrated Power System (IPS) of unmanned ship has integrated various equipment and thus has a complex structure. Current fault diagnosis approaches rely heavily on fault history data and case-by-case models, making it difficult for unattended operation. This paper proposes a model-free fault diagnosis method based on Digital Twin (DT) system. The rule-based discriminative approach is adopted to efficiently identify system faults and their type without the need for historical data or specific physical models. The unmanned ship IPS is modeled on the RTLAB hardware-in-the-loop simulation platform, and the DT system is established on Simulink. Case study about diagnosing the propulsion branch faults on unmanned ships is performed. The results show that the proposed method can quickly detect system faults accurately identify the specific damaged equipment.
无人船综合动力系统集成了多种设备,结构复杂。目前的故障诊断方法严重依赖于故障历史数据和个案模型,难以实现无人值守操作。提出了一种基于数字孪生(DT)系统的无模型故障诊断方法。采用基于规则的判别方法,在不需要历史数据或特定物理模型的情况下,有效地识别系统故障及其类型。在RTLAB硬件在环仿真平台上对无人船IPS进行建模,在Simulink上建立DT系统。对无人船推进支路故障诊断进行了实例研究。结果表明,该方法能够快速检测系统故障,准确识别出具体的损坏设备。
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引用次数: 0
Design and Application Research of Synchronous Temporary Block Function between Valve Groups on Modular Multilevel Converter Ultra High Voltage Direct Current System 模块化多电平变换器特高压直流系统阀组间同步暂堵功能的设计与应用研究
Pub Date : 2022-12-04 DOI: 10.1109/iSPEC54162.2022.10032981
Qinlei Chen, Xuehua Lin, Zhijiang Liu, Qi Guo, Libin Huang, Guanming Zeng, Shuyong Li, Deyang Chen, Chao Luo
Compared with the half controlled power electronic devices such as thyristor, the over-current ability of fully controlled power electronic devices such as insulated gate bipolar transistor (IGBT) is weak. In order to ensure that bridge arm current does not exceed the bearing range of modular multilevel converter (MMC) switching devices under AC fault ride through and other scenarios, MMC high voltage direct current (HVDC) system projects are equipped with temporary block (TB) function, IGBTs are protected by suspending the trigger pulse before bridge arm current reaches the maximum safe current of the switch. The structure of high side and low side valve group (VG) in series are adopted in ultra high voltage direct current (UHVDC) system. For line commuted converter (LCC) UHVDC system, the converter is current source type, During normal operation, there is no need to control the voltage balance between high side and low side VG, and after one VG is disturbed by commutation failure, the impact on another VG is relatively small. For MMC-UHVDC system, the converter is voltage source type, during normal operation, the voltage balance between high side and low side VG should be controlled. When a transient disturbance such as AC fault occurs, if one VG is temporary blocked due to bridge arm over-current, and another VG is not temporary blocked or the time of temporary blocked is later, the VG blocked first may tripped due to sub-module (SM) overall over-voltage or bridge arm over-current, and the scope of the accident is expanded, which is not conducive to the flexible and reliable operation of MMC-UHVDC. Therefore, the impact of non synchronous temporary block of MMC-UHVDC VGs is firstly analyzed in this paper, and then synchronous temporary block (STB) function between VGs is proposed, and the hardware interface scheme, STB signal sending and receiving logic, enable conditions and other aspects between VGs are elaborated. Finally, taking kunliulong project, the world’s first multi terminal Hybrid (MTH) UHVDC project, as the application background, a real-time simulation (RTS) test system for control and protection (C&P) system is established. The enable conditions of the STB function are verified. The response and dynamic characteristics of the system under abnormal measurement of bridge arm current, AC fault and VG short circuit fault when enabling or disabling STB function are compared. The simulation results show that the reliability of MMC-UHVDC can be improved by enabling STB function.
与可控硅等半受控电力电子器件相比,绝缘栅双极晶体管(IGBT)等全受控电力电子器件的过流能力较弱。为了确保桥臂电流在交流故障穿越等场景下不超过模块化多电平变换器(MMC)开关设备的承载范围,MMC高压直流(HVDC)系统项目配备了临时阻塞(TB)功能,igbt通过在桥臂电流达到开关的最大安全电流之前暂停触发脉冲来保护。特高压直流(UHVDC)系统采用高、低侧阀组串联的结构。对于线路整流变流器(LCC)特高压直流系统,变流器为电流源型,在正常运行时,不需要控制高侧和低侧VG之间的电压平衡,当一个VG被整流故障扰动后,对另一个VG的影响相对较小。对于mmc -特高压直流系统,变流器为电压源型,在正常运行时,应控制高侧VG和低侧VG之间的电压平衡。当发生交流故障等暂态扰动时,如果一个VG因桥臂过流而被暂堵,而另一个VG未被暂堵或暂堵时间较晚,则先被堵的VG可能因子模块(SM)整体过压或桥臂过流而跳闸,扩大事故范围,不利于mmc -特高压直流灵活可靠运行。因此,本文首先分析了MMC-UHVDC VGs非同步临时阻塞的影响,然后提出了VGs之间的同步临时阻塞(STB)功能,并对VGs之间的硬件接口方案、STB信号收发逻辑、使能条件等方面进行了阐述。最后,以世界首个多终端混合(MTH)特高压直流工程——昆六龙工程为应用背景,建立了控制与保护(C&P)系统实时仿真(RTS)测试系统。验证机顶盒功能的使能条件。比较了机顶盒功能使能或使能时,系统在桥臂电流测量异常、交流故障和VG短路故障下的响应和动态特性。仿真结果表明,启用机顶盒功能可以提高MMC-UHVDC的可靠性。
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引用次数: 0
Resilience Assessment and Enhancement Strategies of Transmission System under Extreme Ice Disaster 极端冰灾下输电系统恢复力评估及增强策略
Pub Date : 2022-12-04 DOI: 10.1109/iSPEC54162.2022.10033057
Wei Wang, Song Gao, Han Zhang, Dexin Li, Linbo Fu
Ice storm event with high impact and low probability causes a huge challenge to the normal operation of the transmission system. To assess and enhance the resilience of the transmission system under an ice disaster, this paper constructs a resilience assessment and enhancement method for the transmission system. Firstly, the failure rate model of the transmission line is established according to the characteristics of the ice disaster scenario. Then, the resilience assessment metrics are constructed by analyzing the whole process of the system resilience under an ice disaster. On this basis, a resilience enhancement method under the ice disaster is proposed by using the transfer entropy of power flow to screen the lines that need deicing. Finally, the IEEE-30 bus transmission system is utilized to assess the resilience of the transmission system and verify the effectiveness of the proposed resilience enhancement method.
大影响、小概率的冰暴事件对输电系统的正常运行造成了巨大的挑战。为了评估和增强冰雪灾害下输电系统的弹性,本文构建了输电系统弹性评估和增强方法。首先,根据冰雪灾害场景的特点,建立输电线路的故障率模型;然后,通过分析冰情灾害下系统恢复力的全过程,构建了系统恢复力评价指标。在此基础上,提出了一种利用潮流传递熵筛选需要除冰线路的冰灾恢复增强方法。最后,利用IEEE-30总线传输系统对传输系统的弹性进行了评估,验证了所提出的弹性增强方法的有效性。
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引用次数: 0
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2022 IEEE Sustainable Power and Energy Conference (iSPEC)
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