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2017 2nd Asia Conference on Power and Electrical Engineering (ACPEE2017)

作者： Bolun WANG Yong WANG Ying DING Ming LI Cong ZHANG Key Laboratory of Power System Intelligent Dispatch and Control Shandong University State Grid of China Technology College State Grid Shan Dong Electric Power Research Institute Shandong Zibo Power Supply Company

At present, reliability assessment plays an important role in power systems. When the component failure probabilities are interval valued, common methods fail to achieve reasonable interval reliability assessment result of power systems. In this paper a novel approach based on the belief universal generating function(BUGF) is proposed to calculate the reliability indexes of power systems. Instead of giving a single-valued assessment result, a belief function and a plausibility function are exploited to calculate the lower and upper bounds of the loss of load probability(LOLP), the loss of load expectation(LOLE), the expected unsupplied load(EUL) and the expected unsupplied energy(EUE) in UGF, respectively. The proposed approach can track the correlation of the original data well and keep it to the end of the calculation. By using BUGF compared to other common methods to calculate the interval LOLP, LOLE, EUL, and EUE of IEEE-RTS 79, the results show the BUGF method can track the correlation of the original data well, and can get narrower and more accurate interval reliability indexes of the power generation system, which illustrates the effectiveness of the proposed approach.

关键词： Interval Reliability Assessment of Power system under Epistemic Uncertainty Based on Belief UGF Method

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Load Curve Modeling Based on Behavior Analysis of Distributed Power Customers

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IOP Conference Series: Materials Science and Engineering 2019年第1期486卷

作者： Xinyang Han Yu Zhang Yuqiao Jiao Yue Zhang Yanjing Qu Min Ding State Grid Energy Research Institute Beijing 102200 P. R. China 027-8883018 School of Automation China University of Geosciences Wuhan 430074 P. R. China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan 430074 P. R. China State Grid Shanghai Municipal Electric Power Company Shanghai 200122 P. R. China

As renewable power generation directly affects the customers' traditional electricity behavior and then offsets the power load, this paper proposes a load curve modeling method for renewable power customers based on the behavior analysis. Firstly, customers' active behavior is represented by the quantity of active customer households. Based on the analysis of customer behaviors, a modeling method for the quantity of active customer households is proposed based on Markov Chain Monte Carlo method. Then, with the inputs as the quantity of active customer households and time of photovoltaic power generation, an inference model based on fuzzy logic is proposed to get the quantity of customer household starting electrical appliances. By combing the average usage time of electrical appliances, load characteristics are analyzed based on usage state of electrical appliance of distributed power customers. Finally, the simulation results verify the effectiveness of the proposed method.

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Model-driven deep learning for physical layer communications

arXiv

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arXiv 2018年

作者： He, Hengtao Jin, Shi Wen, Chao-Kai Gao, Feifei Li, Geoffrey Ye Xu, Zongben National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Institute of Communications Engineering National Sun Yat-sen University Kaohsiung804 Taiwan State Key Lab of Intelligent Technologies and Systems Tsinghua University Department of Automation Tsinghua University Beijing China School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States Institute for Information and System Sciences Xian Jiaotong University Xi'an710049 China

intelligent communication is gradually becoming a mainstream direction. As a major branch of machine learning, deep learning (DL) has been applied in physical layer communications and demonstrated an impressive performance improvement in recent years. However, most of the existing works related to DL focus on data-driven approaches, which consider the communication system as a black box and train it by using a huge volume of data. Training a network requires sufficient computing resources and extensive time, both of which are rarely found in communication devices. By contrast, modeldriven DL approaches combine communication domain knowledge with DL to reduce the demand for computing resources and training time. This article discusses the recent advancements in model-driven DL approaches in physical layer communications, including transmission schemes, receiver design, and channel information recovery. Several open issues for future research are also highlighted. Copyright © 2018, The Authors. All rights reserved.

关键词： Deep learning

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Novel transient-energy-based directional pilot protection method for HVDC line

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Protection and Control of Modern Power systems 2017年第1期2卷 159-168页

作者： Guibin Zou Qiang Huang Shenglan Song Bingbing Tong Houlei Gao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJi’nanChina. State Grid Weifang Electric Power Company Weifang 261021China. State Grid Langfang Electric Power Company Langfang 065000China.

This paper proposes a novel directional pilot protection method based on the transient energy for bipolar HVDC *** the positive direction of current is from DC bus to the DC line,in the case of an internal line fault,the transient energies detected on both sides of the line are all negative within a short time,which denotes the positive direction fault;while for an external fault,the transient energy on one end is positive,which means a negative direction fault,but the transient energy on the opposite end is negative,which indicates that the fault direction is *** to these characteristics,an integration criterion identifying fault direction is *** addition,through setting a fixed energy threshold,the faulted line and lightning disturbance can also be *** results from UHVDC transmission system show the validity of the proposed protection method.

关键词： Transient energy HVDC line Directional pilot protection Fault direction Lightning stroke

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Semantic motion segmentation for urban dynamic scene understanding

Semantic motion segmentation for urban dynamic scene underst...

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2016 IEEE International Conference on Automation Science and Engineering, CASE 2016

作者： Fan, Qiu Yi, Yang Hao, Li Mengyin, Fu Shunting, Wang School of Automation State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781509024094

A mount of recent researches on scene parsing and semantic labeling, while few focus on obtaining joint semantic motion labeling. In this paper, we propose an approach to infer both the object class and motion status for each pixel of images. First, we extract and match sparse image features to estimate ego-motion between two consecutive stereo images, the result of feature points grouping is used to segment moving object in U-disparity map. Second, a Fully Convolutional Neural Network is employed for semantic segmentation. Moreover, semantic cues are utilized to remove pixels have no potential to be moved in motion mask. Finally, we use a fully connected CRF to integrate motion into semantic segmentation. To validate the effectiveness of the proposed algorithm, we present experimental results with KITTI stereo images that contain moving objects. © 2016 IEEE.

关键词： Semantics

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Stackelberg Game Model of Wind Farm and Electric Vehicle Battery Switch Station

Stackelberg Game Model of Wind Farm and Electric Vehicle Bat...

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2017 2nd Asia Conference on Power and Electrical Engineering (ACPEE2017)

作者： Zhe Jiang Zhimin Li Wenbo Li Mingqiang Wang Mengxia Wang Department of Electrical Engineering Harbin Institute of Technology Electric Power Research Institute State Grid Shandong Electric Power Company Key Laboratory of Power System Intelligent Dispatch and Control Shandong University

In this paper, a cooperation method between wind farm and Electric vehicle battery switch station(EVBSS) was proposed. In the pursuit of maximizing their own benefits, the cooperation between wind farm and EVBSS was formulated as a Stackelberg game model by treating them as decision makers in different status. As the leader, wind farm will determine the charging/discharging price to induce the charging and discharging behavior of EVBSS reasonably. Through peak load shifting, wind farm could increase its profits by selling more wind power to the power grid during time interval with a higher purchase price. As the follower, EVBSS will charge or discharge according to the price determined by wind *** optimizing the charging/discharging strategy, EVBSS will try to charge with a lower price and discharge with a higher price in order to increase its profits. Since the possible charging/discharging strategy of EVBSS is known, the wind farm will take the strategy into consideration while deciding the charging/discharging price, and will adjust the price accordingly to increase its profits. The case study proved that the proposed cooperation method and model were feasible and effective.

关键词： Stackelberg Game Model of Wind Farm and Electric Vehicle Battery Switch Station Model

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Stackelberg Game Model of Wind Farm and Electric Vehicle Battery Switch Station

Stackelberg Game Model of Wind Farm and Electric Vehicle Bat...

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2017 2nd International Conference on Renewable Energy and Smart Grid (ICRESG2017)

In this paper, a cooperation method between wind farm and Electric vehicle battery switch station（EVBSS） was proposed. In the pursuit of maximizing their own benefits, the cooperation between wind farm and EVBSS was formulated as a Stackelberg game model by treating them as decision makers in different status. As the leader, wind farm will determine the charging/discharging price to induce the charging and discharging behavior of EVBSS reasonably. Through peak load shifting, wind farm could increase its profits by selling more wind power to the power grid during time interval with a higher purchase price. As the follower, EVBSS will charge or discharge according to the price determined by wind *** optimizing the charging/discharging strategy, EVBSS will try to charge with a lower price and discharge with a higher price in order to increase its profits. Since the possible charging/discharging strategy of EVBSS is known, the wind farm will take the strategy into consideration while deciding the charging/discharging price, and will adjust the price accordingly to increase its profits. The case study proved that the proposed cooperation method and model were feasible and effective.

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A Unified DC-AC Power Flow Algorithm of Distribution Network with Distributed Generation

A Unified DC-AC Power Flow Algorithm of Distribution Network...

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2017 5th International Conference on Mechatronics,Materials,Chemistry and Computer Engineering(ICMMCCE 2017)

作者： Wenbo Li Keqiang Li Donglei Sun Lulu Li Chunlong Chen Si Yang State Grid Shandong Electric Power Research Institute Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Economic&Technology Research Institute State Grid Shandong Electric Power Company

With the development of rectification technology and DC equipment, hybrid DC-AC transmission has arisen in the distribution network. In addition, the penetration of distributed generation(DG) in the distribution network makes the analysis of power system more complicated. As a key measure of grid programming and operating, a practical power flow method of DC-AC distribution network is urgent to study. Firstly, the mathematical model of DGs is given in this paper, and the analysis of the operation and control mode of DC-AC distribution system with voltage source converter(VSC) is conducted. Then a calculation method of hybrid DC-AC distribution system with DGs is proposed, in which constant-power DG, voltage controlled DG and DG with voltage static characteristic is concerned. An improved forward backward sweep method is given, concerning VSC, AC circuits, DC circuits and various type of DGs, which achieves the purpose of unified DC-AC power flow calculation. Finally, case study for a 90-node distribution network with DG integration is conducted to demonstrate the effectiveness of the method.

关键词： DC-AC distribution network voltage source converter distributed generation power flow forward backward sweep method

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Study on Electricity Business Expansion and Electricity Sales Based on Seasonal Adjustment

Study on Electricity Business Expansion and Electricity Sale...

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2017 2nd Asia Conference on Power and Electrical Engineering (ACPEE2017)

作者： Yumin Zhang Xueshan Han Yong Wang Li Zhang Guangsen Yang Donglei Sun Bolun Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University State Grid Jiangsu Electric Power Maintenance Branch Company Economic & Technology Research Institute of State Grid Shandong Electric Power Company

[1] proposed a novel analysis and forecast method of electricity business expansion based on Seasonal Adjustment, we extend this work to include the effect the micro and macro aspects, respectively. From micro aspect, we introduce the concept of load factor to forecast the stable value of electricity consumption of single new consumer after the installation of new capacity of the high-voltage transformer. From macro aspects, considering the growth of business expanding is also stimulated by the growth of electricity sales, it is necessary to analyse the antecedent relationship between business expanding and electricity sales. First, forecast electricity consumption of customer group and release rules of expanding capacity, respectively. Second, contrast the degree of fitting and prediction accuracy to find out the antecedence relationship and analyse the reason. Also, it can be used as a contrast to observe the influence of customer group in different ranges on the prediction precision. Finally, Simulation results indicate that the proposed method is accurate to help determine the value of expanding capacity and electricity consumption.

关键词： Study on Electricity Business Expansion and Electricity Sales Based on Seasonal Adjustment

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Application of Virtual Synchronous Generator in Solar Power Generation

引用

Journal of Physics: Conference Series 2018年第6期1087卷

作者： Jianjun Su Wenbo Li Hengjie Liu Fanmin Meng Long Wang Xueshan Han State Grid Shandong Electric Power Research Institute China State Grid Laiwu Power Supply Company China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China

For the virtual synchronous control strategy of grid-connected inverters, the impact of the output response of the change of source is mainly analyzed, and the response time is calculated to lay a theoretical foundation for the system economic dispatch. First, the photovoltaic cell model is introduced, as well as the mathematical model and control strategy of the virtual synchronous generator. Then the optimal configuration of the source input is analyzed under different inertia and virtual damping conditions. The results show that the virtual inertia and damping coefficient of the inverter are closely related to the energy density and response time of the source input. Finally, a simple simulation model is given to observe the influence of the output change of the source on the response of the inverter output.

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