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11th International Conference on Electrical Machines and systems(第11届国际电机与系统会议)

作者： Ting Lu Yongchang Zhang Yingchao Zhang Zhengming Zhao Liqiang Yuan State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department o State Key Laboratory of Control and Simulation of Power System and Generation EquipmentDepartment of

A novel direct power control (DPC) strategy for three-level neutral-point-clamped (NPC) pulse-width-modulation (PWM) rectifier, based on fixed synthesizing vectors, is proposed in this paper. The strategy breaks through the restrictions of vector switching with a simple switching table, improves the excellent dynamic performance of DPC, avoids the neutral-point voltage unbalance and the excessive voltage jumps in phase and line-to-line voltages of the rectifier, and guarantees the proper minimum pulse width and switching intervals between switches in different phases simultaneously. Experimental results verify the validity and feasibility of the proposed scheme.

关键词： Pulse width modulation power control Rectifiers Space vector pulse width modulation Switches Thyristors Topology Voltage control Snubbers control system synthesis

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power Reconstructing Method of Distributed Photovoltaic Based on the Temporal and Spatial Correlation 10

Power Reconstructing Method of Distributed Photovoltaic Base...

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2020 10th International Conference on power, Energy and Electrical Engineering, CPEEE 2020

作者： Li, Shangqiang Sun, Rongfu Qiao, Ying Lu, Zongxiang State Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District in Beijing100084 China State Grid Jibei Electric Power Company Xicheng District in Beijing100031 China

55GW distributed photovoltaic have been installed in China, but nearly half are connected to the low voltage level of 380V, without real-time power data acquisition. The sequential power data is needed to be reconstructed based on some related monitoring data. Current researches focus on outliers recovery, but not reconstruction from none. This paper explores the temporal and spatial correlation of power between adjacent centralized photovoltaic stations and proposes a large-scale missing power data reconstructing method based on the time-delay power correlation, the spatial geometric characteristics of stations and the thought of ensemble learning. Finally, we verify the effectiveness of the proposed method by simulation based on the real photovoltaic power data. The proposed method can get the better effect of data reconstructing compared with the traditional method, which only use the power curves of the nearest CP station to reconstruct the power curves of the DP station according the capacity conversion. © 2020 The Authors, published by EDP Sciences.

关键词： Data acquisition

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DC/DC Converter Applied in the Photovoltaic- Inclined Thermal Collector Hybrid systems for Brackish Water Desalination

DC/DC Converter Applied in the Photovoltaic- Inclined Therma...

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11th International Conference on Electrical Machines and systems(第11届国际电机与系统会议)

作者： Liqiang Yuan Mohamed Eltawil Zhengming Zhao Yaodong Lu State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department o State Key Laboratory of Control and Simulation of Power System and Generation EquipmentDepartment of

A chronic drinking water shortage is one of the most important issues in the developing countries, and drinking water from dirty water sources causes serious damage to inhabitants health in some remote areas. The solar distillation remains the most favorable process for the supplying of water to small communities. Base on the traditional solar still, an improved hybrid photovoltaic/thermal (PVT) desalination system is presented. The PV modules that are combined with thermal units, constitute the PVT systems which has longer operating time and higher average fresh water production. This paper introduces the DC/DC converter applied in this type of systems, including its structure and control strategy which is suitable for PV array and driving supportive heater. The experimental results for the converter and the whole system are showed and analyzed.

关键词： DC-DC power converters Photovoltaic systems Solar power generation Desalination Temperature Water resources Hybrid power systems Solar energy Water heating power system simulation

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A control Strategy of the Grid Support for Photovoltaic Inverter Based on control-hardware-in-the-loop simulation 8

A Control Strategy of the Grid Support for Photovoltaic Inve...

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8th IEEE International Conference on Advanced power System Automation and Protection, APAP 2019

作者： Li, Shuang Si, Gangquan Qu, Kai Yang, Zeyu He, Guoqing Xi'an Jiaotong University State Key Laboratory of Electrical Insulation and Power Equipment School of Electrical Engineering Xi'an China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing China

ISBN: (纸本)9781728117225

With the increasing proportion of renewable energy generation, the grid lost strong electrical support for renewable energy generating units, which leads to a series of new grid- connected stability problems. Therefore, it is of great significance to enhance the acceptance of PV power generation by improving the grid-connected voltage quality of PV inverters. A coordinated control strategy for PV inverters with the grid support capability was proposed in this paper, which fully utilized the voltage and frequency regulation capability of grid- connected inverters. At the same time, a real-time simulation system of PV grid-connected inverter based on FPGA simulator and eHS modeling technology was built by RT-LAB simulation platform. Finally, some relevant experiments are carried out on the simulation platform when the grid-connected voltage is disturbed. And the simulation results verified the validity of the proposed control strategy. © 2019 IEEE.

关键词： simulation platform

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Unit commitment considering demand response behavior based on utility maximization

Unit commitment considering demand response behavior based o...

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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Zhang, Yumin Han, Xueshan Xu, Bo Zhang, Li Sun, Donglei Miao, Xiaofeng Jiang, Jiayin Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China Economic and Technology Research Institute of State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Company Yantai Electric Power Company Yantai264001 China

ISBN: (纸本)9781538614273

The active participation of demand side resources in power grid operation not only benefits the individual participant but also benefits the whole system. The optimal goal can promote by excavating the active behaviors of demand side. The welfare maximization of market participant is the driving force of such active behaviors. Considering the independence of each user's behavior, the consumer's utility function is selected to depict consumer's preference and demand response behavior. In order to coordinate the consumers' maximum welfare with social welfare maximization, consumers' utility function and units' operation cost are integrated into Unit Commitment (UC) model. The objective function is to maximize social welfare, by subtracting units' operation cost from consumers' total utility, and this objective can be acquired. Considering the proposed model should be solved in a distributed manner, the idea of the centralized coordination and the decentralized decision-making is proposed. Based on the Lagrangian relaxation (LR) principle and distributed real-time pricing scheme, a closed-loop feedback mechanism is constructed to reflect the relationship among generator output, price level, and load demand. The ten generating units example can illustrate the effectiveness of the proposed method. © 2017 IEEE.

关键词： power markets

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Wind power Forecast Based on Dimensionality Reduction Using Ridge Regression 5

Wind Power Forecast Based on Dimensionality Reduction Using ...

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5th International Conference on Renewable Energy and power Engineering, REPE 2022

作者： Sun, Shuxin Wu, Fubao Qiao, Ying Lu, Zongxiang Hao, Yuchen Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Beijing100084 China China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Nanjing China Control Ctr State Grid Jiangsu Elect Power Co Ltd Nanjing210017 China

ISBN: (数字)9781665482066

ISBN: (纸本)9781665482066

In order to reduce the randomness and fluctuation of wind power, numerical weather prediction is usually used to forecast power generation. Due to the redundancy of numerical weather prediction factors, dimensionality reduction is carried out to improve the effectiveness of data processing and reduce the complexity of algorithm. In this paper, the multicollinearity diagnosis is carried out to show the existence of multicollinearity among numerical weather prediction variables. The ridge regression method is adopted to screen variables, so as to reduce the dimension of numerical weather prediction data, which are trained later by back propagation neural network or convolutional neural network to fit corresponding power data. In comparison with results using training data without preprocessing, dimensionality reduction can improve predicting effect in most cases and reduce the error caused by improper selection of neural network. © 2022 IEEE.

关键词： Regression analysis

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Modeling and analysis of secondary controlled virtual synchronous generator with dynamic droop for microgrid

Modeling and analysis of secondary controlled virtual synchr...

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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Yan, Weihang Gao, David Wenzhong Zhang, Fang Cheng, Lin Yan, Shijie Department of Electrical and Computer Engineering University of Denver Denver United States State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China College of Information Science and Technology Northeastern University Shenyang China

ISBN: (纸本)9781538614273

In this paper, a dynamic droop mechanism is proposed to damp the synchronizing oscillation that exists in a virtual synchronous generator based distributed generator system without varying the steady-state active-power-loop droop coefficient. In order to eliminate the steady-state error introduced due to load changes or generator trips, a distributed secondary controller based on extremum seeking is employed so that microgrid frequency can be restored to nominal value. Besides, the small-signal model of virtual synchronous generator system is presented under d-q reference frame where virtual synchronous generator is deployed as a PV node. Moreover, the linearized system model of virtual synchronous generator with dynamic droop mechanism is derived and its advantage is discussed. Finally, a modified IEEE 14 bus microgrid system is established in Matlab/Simulink platform. simulation results demonstrate the validity and feasibility of the proposed method. © 2017 IEEE.

关键词： Dynamics

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Short-term power Prediction Based on Improved NWP Data Considering Wind Speed Distribution Inner Wind Farm 6

Short-term Power Prediction Based on Improved NWP Data Consi...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Ma, Wei Qiao, Ying Lu, Zongxiang Liang, Zhifeng Li, Jiaming Hao, Yuchen Tsinghua University State Key Laboratory of Control and Simulation Power Systems and Generation Equipments of Electrical Engineering Beijing China State Grid Corporation of China Beijing China State Grid Jiangsu Power Grid Corporation Nanjing China

ISBN: (纸本)9798350347159

The wind farm has only one NWP data point, which cannot accurately reflect the wind resources inside the wind farm. To solve the problem of a poor match between short-term wind power prediction numerical weather forecast and wind farm measured weather. Put forward a kind of based on clustering and temporal characteristics of the modified liters of scale wind power prediction method, first of all, using EOF orthogonal decomposition method to extract the features of each fan, using hierarchical analysis method of the characteristics of the data matrix clustering, and then, each cluster sample selected representative of a fan, using the error transfer characteristic of the NWP data sequence is modified. Finally, The CNN prediction model is used for power prediction, and the weight is determined according to the cluster sample size. A wind farm in northern Hebei, China, is used to verify the effectiveness of the proposed method. © 2022 IEEE.

关键词： Weather forecasting

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Development and Application of DC Partial Discharge Test System

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高电压技术 2013年第8期39卷 1981-1987页

作者： NIE Dexin SHA Yanchao ZHOU Yuanxiang WU Zhirong DENG Jiangang State Grid Electric Power Research Institute Wuhan 430074 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing 100084 China

Direct current (DC) partial discharge (PD) test has drawn extensive attention from world-wide electric power research institutes in recent years. However, presently, no DC PD detection device on the market has the statistical function. Thus, we developed a test system for PD detection under DC voltage, which is characterized by strong anti-jamming capability, continuous high-speed real-time data acquisi- tion and effective, complete detection of DC PD signals. The DC PD mechanism, as well as the measuring principles, software system, and hardware design of the test equipment were introduced. Adopting typical electrode pairs, we tested the statistical spectrum of PD under DC voltage. The main difference in statistical spectrums between parallel plate electrodes and needle-plate electrodes was that the time interval between two consecutive discharges for needle-plate electrodes has obviously larger variation range than that for parallel plate electrodes, which could be the convincing proof for distinguishing the type of electrodes under DC PD. Practical results indicate that the proposed sys- tem can measure time domain signals of DC PD of oil-paper insulation effectively and promptly, and it can be used to determine and detect defects in DC power transmission equipment.

关键词：局部放电信号直流电压测试系统开发针板电极应用检测装置实时数据采集

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Photovoltaic plant Operating Statuses Identification model based on support vector machine using loss quantity of electricity feature parameters

Photovoltaic plant Operating Statuses Identification model b...

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International Conference on Renewable power Generation, RPG 2015

作者： Li, Kangping Wang, Fei Zhen, Zhao Sun, Yujing Mi, Zengqiang Sun, Hongbin Liu, Chun Wang, Bo Lu, Jing State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding Hebei Province071003 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China China Electric Power Research Institute Haidian District Beijing100192 China

ISBN: (纸本)9781785610400

Operating Statuses Identification (OSI) can help operators to find fault timely and minimize the loss. So it is of great significance for optimal operation of photovoltaic (PV) plants. The loss quantity of electricity (LQOE) is defined as that should have been generated but actually not, which is caused by inverter fault, PV modules fault, dust stratification or combinations of them. Firstly, mathematical models of PV cells are proposed to figure out the LQOE of each PV module. Secondly, after analysing the relation between LQOE and operating statuses, an index set of LQOE describing the distinction of different operating statuses are defined including four statistical feature parameters and a user-defined index. Thirdly, Support Vector Classification models for OSI (OSI-SVC) are built with input features extracted from the index set. Lastly, simulations are carried out to verify the effectiveness and evaluate the performance of the OSI-SVC models. The results indicated that the operating statuses can be effectively recognized by the proposed model.

关键词： Support vector machines

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