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2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)最新文献

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Reliability Evaluation of PV-ESS Microgrid System PV-ESS微电网系统可靠性评估
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621683
Z. Weng, Jinghua Zhou, Xiaotong Song, Jin Li
Unlike grid-connected microgrids, isolated microgrids are more susceptible to internal equipment capacity changes and external dispatching strategies, so it is necessary to analyze microgrid reliability from the perspective of capacity changes. Firstly, a time series model of equipment life process, a PV model with Beta distribution, a load model with time variability and stochasticity, and an energy storage model with operational constraints are studied. Secondly, the reliability index is used to characterize the system reliability level, and the power scheduling and load shedding strategy with minimum load shedding is proposed. Finally, the improved RBTS BUS6 F4 system is used as an example to deeply analyze the interaction mechanism of each device capacity on the reliability of the microgrid and to show the effectiveness of the proposed strategy.
与并网微电网不同,孤立微电网更容易受到内部设备容量变化和外部调度策略的影响,因此有必要从容量变化的角度来分析微电网的可靠性。首先,研究了设备寿命过程的时间序列模型、具有Beta分布的PV模型、具有时变和随机性的负荷模型以及具有运行约束的储能模型。其次,利用可靠性指标表征系统的可靠性水平,提出了以最小减载为目标的电力调度与减载策略;最后,以改进后的RBTS BUS6 F4系统为例,深入分析了各设备容量对微网可靠性的交互机制,验证了所提策略的有效性。
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引用次数: 0
Bi-level Programming of AC / DC Hybrid Distribution System 交直流混合配电系统的双级规划
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621429
Chunyi Wang, Zijia Ding, Xingyou Zhang, Zhaohui He, Huali Liu, Zhendong Xu
With the wide application of distributed generation and advanced power electronic technology, AC / DC hybrid distribution network provides a new idea for the development of distribution network. Therefore, the AC-DC hybrid distribution network planning is of great significance. This paper presents a bi-level programming model of AC / DC distribution network considering the randomness of DC type of bus and connecting line. The model uses Monte Carlo method to simulate the uncertain output curve of load demand and photovoltaic distributed generation, and divides the planning scheme into upper planning model and lower optimization model: the upper planning model uses genetic membrane algorithm, with the lowest grid construction cost and operation cost as the objective function; the lower optimization model uses interior point method, with the lowest operation cost as the objective function. The upper and lower layer models are solved alternately to obtain the optimal network configuration.
随着分布式发电和先进电力电子技术的广泛应用,交直流混合配电网为配电网的发展提供了新的思路。因此,对交直流混合配电网进行规划具有重要意义。本文提出了一种考虑直流母线类型和接线随机性的交直流配电网双层规划模型。该模型采用蒙特卡罗方法对负荷需求和光伏分布式发电的不确定输出曲线进行模拟,并将规划方案分为上层规划模型和下层优化模型:上层规划模型采用遗传膜算法,以电网建设成本和运行成本最低为目标函数;下层优化模型采用内点法,以最低运行成本为目标函数。上下两层模型交替求解,得到最优网络配置。
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引用次数: 0
The Utility Analysis of LHSS Combined SMES System Considering Capacity Configuration 考虑容量配置的LHSS组合中小企业系统效用分析
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621679
Zhang Xingyou, Wang Yuejiao, Chen Jian, Yu Peng
Based on common characteristic that liquid hydrogen storage system(LHSS) and superconducting magnetic energy storage(SMES) has similar requirement for refrigeration, This paper analyzes advantages of joint operation of LHSS combined SMES system based on their common characteristics. Consider current situation of renewable energy utilization difficulties in recent years, this paper studies the optimal capacity configuration of LHSS combined SMES hybrid energy storage system to maximum use renewable energy. Based on above scene, a time series based method is proposed to simulate the operation scenario of a high penetration renewable energy system, and a capacity optimization method which objects to maximize the economic benefit of hybrid energy storage system is also proposed in this paper. Also, the effectiveness of the proposed strategy is verified by a simple case.
基于液氢储能系统(LHSS)与超导磁能储能系统(SMES)对制冷要求相似的共同特点,结合两者的共同特点,分析了液氢储能系统与超导磁能储能系统联合运行的优势。针对近年来可再生能源利用困难的现状,本文研究了LHSS联合中小企业混合储能系统最大限度利用可再生能源的最优容量配置。基于上述场景,本文提出了一种基于时间序列的方法来模拟高渗透可再生能源系统运行场景,并提出了一种以混合储能系统经济效益最大化为目标的容量优化方法。最后,通过一个简单的实例验证了所提策略的有效性。
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引用次数: 1
A FP-Growth Algorithm Based Fault Analysis Method for Distribution Terminal Unit 基于FP-Growth算法的配电终端单元故障分析方法
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621594
Xuecen Zhang, Qiang Liu, Yi Tang, Guofeng Liu, Xin Ning, Jiankun Chen
Distribution terminal unit (DTU) is an indispensable device that monitors and controls other secondary-side devices in distribution network. With the large-scale integration of DTU into power system, limited numbers of maintenance engineers can hardly cope with the pressure brought about by the massive increment of DTU devices. Fault of DTU may lead to severe impact on normal operation of distribution network and power system. Therefore, researching DTU fault mechanisms and taking measures to lower fault incidence are crucial for ensuring the stable and safe operation of distribution network. In this paper, we proposed a FP-growth algorithm-based fault analysis method for DTU. Firstly, different possible factors that lead to DTU fault are analyzed, fault types are also introduced. Then the main idea of FP-growth algorithm is illustrated. Afterwards, a DTU fault analysis method based on FP-growth algorithm is put forward. Experiment is conducted on realistic DTU fault database to prove the practicality of this method.
配电终端单元(DTU)是配电网中对其他二次侧设备进行监控的重要设备。随着DTU设备在电力系统中的大规模集成,数量有限的维护工程师难以应对DTU设备大量增加所带来的压力。DTU故障可能会对配电网和电力系统的正常运行造成严重影响。因此,研究DTU故障机理,采取措施降低故障发生率,对于保证配电网的稳定安全运行至关重要。本文提出了一种基于fp增长算法的DTU故障分析方法。首先分析了导致DTU故障的各种可能因素,并介绍了故障类型。然后阐述了fp增长算法的主要思想。随后,提出了一种基于fp增长算法的DTU故障分析方法。在实际DTU故障数据库上进行了实验,验证了该方法的实用性。
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引用次数: 1
Optimal Utilization Strategy of Integrated Energy for Commercial Users Based on CCHP Coupling 基于热电联产耦合的商业用户综合能源优化利用策略
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621391
Encheng Dong, W. Cong, Jian Chen, Ming Chen, Tianyou Yang, Zhen Wei
Aiming at the optimal utilization problem of integrated energy for commercial users, the stepped utilization of energy was firstly analyzed in typical combined cooling, heating and power(CCHP) systems. Secondly, considering the coupling structure of the system and energy utilization characteristics of commercial users, a physical framework of integrated energy system(IES) was set up for multi-energy optimal utilization. Devices of energy production, conversion and storage was modelled on the source side, and meanwhile, on end-user side, load models were built according to space cooling, space heating, hot water and electric. Then, taking into account the time-of-use and costs of operation and maintenance, a mathematical model of IES optimal utilization was established, which was solved by YALMIP/Gurobi. Finally, Case study proves the economy and effectiveness of the proposed optimization strategy.
针对商业用户综合能源优化利用问题,首先分析了典型冷热电联产系统的分步能源利用问题。其次,考虑系统的耦合结构和商业用户的能源利用特点,构建了综合能源系统(IES)的物理框架,以实现多能优化利用;在源端对能源生产、转换和存储设备进行了建模,同时在终端用户端根据空间制冷、空间供暖、热水和电力建立了负荷模型。然后,考虑使用时间和运维成本,建立了IES最优利用的数学模型,并利用YALMIP/Gurobi进行求解。最后,通过实例验证了所提优化策略的经济性和有效性。
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引用次数: 0
Design of Provincial Bilateral Electricity Spot Market in China under High New Energy Penetration 新能源高渗透率下中国省级双边电力现货市场设计
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621605
Ruhai Hao, Xujun Zhang, Zhenhuan Chen, Zan Yang, Tianrui Zhang, Xiaoting Chen
As it is a severe challenge to accommodate the increasing new energy generation integrated to the power grid, electricity spot market can serve to address this issue by producing real-time time-of-use price signals and guiding consumers to adjust their electricity consumption behaviors. To resolve the dilemma of new energy consumption, this paper first designed a provincial bilateral electricity spot market, and put forward the trading mechanism considering both power plants and consumers. Then, a comparative analysis was conducted on the bilateral market clearing results and the unilateral market clearing results considering only power plants through case study. The results show that integrating consumers in the spot market can help to encourage them to consume new energy in an active manner. The bilateral electricity spot market proposed in this paper can provide a reference for improving the new energy consumption in regions with high new energy penetration.
随着新能源发电量的不断增加,如何适应新能源并网发电是一个严峻的挑战,电力现货市场可以通过产生实时的分时电价信号,引导消费者调整自己的用电行为来解决这一问题。为解决新能源消费困境,本文首先设计了省级双边电力现货市场,提出了兼顾电厂和消费者的交易机制。然后,通过案例分析,对双边市场出清结果与仅考虑电厂的单边市场出清结果进行对比分析。结果表明,将消费者纳入现货市场有利于鼓励消费者积极消费新能源。本文提出的双边电力现货市场可以为新能源渗透率高的地区提高新能源消费水平提供参考。
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引用次数: 1
Evaluation Method of Peak Shaving Potential for Multi-type Users Considering the Promotion of Clean Energy Consumption 考虑促进清洁能源消费的多类型用户调峰潜力评价方法
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621660
Xiaoming Xiao, Ye Cai, Ying Liu, Zheng-yi Li, Chen Xue
Peak shaving on the user side is an effective means to promote the consumption of clean energy. This study proposes a user-side participation in peak shaving potential evaluation model considering the promotion of clean energy consumption in order to give full play to the advantages of user-side participation in peak shaving, fast response and high economy and to improve user participation enthusiasm. Aiming at the problem of multi-time scale volatility that traditional static methods cannot reflect the peak shaving potential index, this study proposes a dynamic incentive evaluation method by extracting the multi-day typical characteristics of multiple types of users participating in peak shaving. First, interval weights were constructed to reduce the impact of user load fluctuations on evaluation indicators; the idea of acceleration was introduced to describe the trend of changes in the observed values of indicators at different time scales; second, the gain range of the advantages and disadvantages of each type of indicator was calculated. In addition, assigning corresponding ”reward” and ”punishment” values can reflect the current state of the evaluated object more objectively and truly, thereby obtaining dynamic incentive index values; finally, based on interval weights and dynamic incentive index values, an interval-type decision matrix pair was formed. The potential of various types of users to participate in peak shaving was scored and sorted. Taking the load of five types of users in a certain area as an example, the results show that this method can effectively evaluate the peak shaving potential of different types of loads.
用户侧调峰是促进清洁能源消费的有效手段。为了充分发挥用户侧参与调峰、响应快、经济性高的优势,提高用户参与积极性,本研究提出了考虑促进清洁能源消费的用户侧参与调峰潜力评价模型。针对传统静态方法无法反映调峰潜力指数的多时间尺度波动问题,提出了一种通过提取多类型用户参与调峰的多日典型特征的动态激励评价方法。首先,构建区间权重,降低用户负荷波动对评价指标的影响;引入加速度的概念来描述各指标观测值在不同时间尺度上的变化趋势;其次,计算了各类指标优缺点的增益范围;此外,分配相应的“奖励”和“惩罚”值,可以更客观、真实地反映被评价对象的现状,从而获得动态激励指标值;最后,基于区间权值和动态激励指标值,构造了区间型决策矩阵对。对各类用户参与调峰的潜力进行了评分和排序。以某地区5类用户的负荷为例,结果表明,该方法能有效地评价不同类型负荷的调峰潜力。
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引用次数: 0
The Research of Transient Magnetic Field and Eddy Current Loss of Single Phase Three-Legged Transformer under AC/DC Condition 交/直流条件下单相三足变压器瞬态磁场及涡流损耗研究
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621468
D. Xia
In order to analyze the local overheating of single phase three-legged transformer under AC/DC condition, the transient magnetic field and eddy current loss in the iron core of transformer are studied. This paper builds a coupling model of electric circuit and magnetic circuit considering nonlinearity of ferromagnetic materials and iron core topology. The distribution and variation of magnetic field and eddy current loss of single phase three-legged transformer are researched. The results show that the amplitudes of magnetic field and eddy current loss in the central leg are greater than those in two side legs without DC, and they grow nonlinearly as DC enlarges. The magnetic field amplitudes in the central leg grow faster than those in two side legs, while the eddy current loss amplitudes in two side legs grow faster than those in the central leg.
为了分析交/直流条件下单相三脚变压器的局部过热问题,研究了变压器铁芯内的瞬态磁场和涡流损耗。考虑铁磁材料的非线性和铁芯拓扑结构,建立了电路与磁路的耦合模型。研究了单相三足变压器的磁场分布和变化规律及涡流损耗。结果表明:中心支腿的磁场幅值和涡流损耗大于两侧支腿,且随直流电的增大呈非线性增长;中心支腿的磁场幅值增长快于两侧支腿的磁场幅值增长,而两侧支腿的涡流损耗幅值增长快于中心支腿。
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引用次数: 1
Optimization of Backup Power Automatic Switching Strategy in the Distribution Network with Distributed Photovoltaics 分布式光伏配电网备用电源自动交换策略优化
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621550
Haiyang Liu, Xiaobo Ling, Yifan Zhu, Qiyu Tu, Piao Gao, Chenxu Chao, Yaxin Xie, Xiaodong Zheng, N. Tai
Large-scale distributed photovoltaics (DPs) are connected to the distribution network. when a fault happens in the distribution network, the bus voltage at the fault location cannot immediately decrease to zero due to the existence of DPs, which invalidates the criteria of non-voltage detection and synchronism check and impedes the automatic switching of backup power. Therefore, considering the influence of DPs, this paper puts forward a configuration optimization scheme of backup power automatic switching (BPAS) strategy, which allows the BPAS devices in the distribution network with DPs to conduct non-voltage detection and synchronism check. The example analysis shows that the optimized BPAS strategy can effectively improve the load transfer capacity and reduce the cost of BPAS devices.
大规模分布式光伏(DPs)接入配电网。当配电网发生故障时,由于DPs的存在,故障点母线电压不能立即降至零,使无电压检测和同步检查的标准失效,阻碍了备用电源的自动切换。因此,考虑到后备电源自动开关的影响,本文提出了一种后备电源自动开关(BPAS)策略的配置优化方案,使配电网中有后备电源自动开关的BPAS设备能够进行无电压检测和同步检查。算例分析表明,优化后的BPAS策略能有效提高BPAS设备的负载转移能力,降低设备成本。
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引用次数: 0
Enhancing Model Adaptability Using Concept Drift Detection for Short-Term Load Forecast 利用概念漂移检测增强短期负荷预测模型的适应性
Pub Date : 2021-07-18 DOI: 10.1109/ICPSAsia52756.2021.9621522
Yuanfan Ji, Guangchao Geng, Q. Jiang
Concept drift refers to the relation between input and target envolves over time in an online supervised learning scenario. With the development of smart grid and smart meter, mass data accessibility poses a huge challenge to learning model adaptability. To address such issue, this paper proposed a model adaptability enhancement approaches based on concept drift detection for short-term forecast model. It exploits canonical correlation analysis to measure mapping relation between input and output of the forecast model. Then the correlation coefficient vector sequence will be monitored over an adaptive window to detect concept drift. Model is updated on data over the sliding window only when a concept drift happens. Experimental results shows this method reduces memory assumption and computing resources remarkably meanwhile guarantees the forecast accuracy.
概念漂移是指在线监督学习场景中输入和目标之间随时间变化的关系。随着智能电网和智能电表的发展,海量数据的可访问性对学习模型的适应性提出了巨大的挑战。针对这一问题,本文提出了一种基于概念漂移检测的短期预测模型自适应增强方法。它利用典型相关分析来度量预测模型的输入和输出之间的映射关系。然后,相关系数矢量序列将在一个自适应窗口监测,以检测概念漂移。只有当概念漂移发生时,滑动窗口上的数据才会更新模型。实验结果表明,该方法在保证预测精度的同时显著降低了内存假设和计算资源。
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引用次数: 1
期刊
2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
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