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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...

引用

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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Cloud identification model for sky images based on Otsu

Cloud identification model for sky images based on Otsu

引用

International Conference on Renewable power Generation, RPG 2015

作者： Li, Hongping Wang, Fei Ren, Hui Sun, Hongbin Liu, Chun Wang, Bo Lu, Jing Zhen, Zhao 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

Irradiance changes caused by clouds movement are the mam factors, which lead to mutation of photovoltaic power. In order to increase the accuracy of the ultra-short-term photovoltaic power prediction, based on of clouds images, the cloud identification for sky images is one of the primary aspects for improving photovoltaic power accuracy. A cloud identification model for sky images is established based on Otsu. Firstly, a series of sky images are collected by Total Sky Imager (TSI) with the regions of clouds and sky are distinguished. Secondly, the color features (based on RGB values) of pixels in sample images and the spectral and texture features of the whole image are extracted;Finally, we established a cloud identification model for sky images based on Otsu according to the clouds' and sky areas' division and the general characteristics featured by pixels and images. The simulated results show that the model in this paper can identify the clouds in a sky images effectively.

关键词： Pixels

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Short-term prediction model of module temperature for photovoltaic power forcasting based on support vector machine

Short-term prediction model of module temperature for photov...

引用

International Conference on Renewable power Generation, RPG 2015

作者： Sun, Yujing Wang, Fei Mi, Zengaiang Sun, Hongbin Liu, Chun Wang, Bo Lu, Jing Zhen, Zhao Li, Kangping 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

To improve the prediction accuracy of photovoltaic (PV) power generation, the temperature of PV modules and its prediction is very important. A short-term step-wise temperature prediction model for PV module based on Support Vector Machine (SVM) is proposed in this paper. Firstly, the primary impact factors of PV module temperature are determined in terms of the PV module physical characteristics and the correlation coefficient between each factor and module temperature. Secondly, two kinds of prediction models, direct and step-wise models, are built to predict module temperature respectively. For direct model, the prediction model is based on SVM using the historical data. For step-wise one, the prediction models of the primary impact factors are built at the first step and then the mapping models between module temperature and the impact factors are established. In the end, the deviations of two different kinds of prediction models are analyzed and discussed based on actual operation data. The results indicate that the stepwise prediction model has better accuracy than the direct prediction model if other things are equal.

关键词： Forecasting

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Dynamic Response of Rubbing Happening in a Flexible Rotor-Bearing system

Dynamic Response of Rubbing Happening in a Flexible Rotor-Be...

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2015 International Conference on Electrical, Automation and Mechanical engineering(EAME 2015)

作者： J.M.Chen D.X.Jiang T.T.Deng J.S.Wang J.L.Zhong S.B.Wang State Key Laboratory of Control and Simulation of Power System and Generation Equipments Department of Thermal Engineering Tsinghua University Guizhou Electric Power Research Institute

ISBN: (纸本)9781510806528

To reduce the steam loss and raise the efficiency of the steam turbine,the vapour seals are applied in the inner cylinder of the steam *** small gap may easily results in the rubbing happening in the inner ***,the rotor is a flexible *** this paper,dynamic response of rubbing happening in a flexible rotor-bearing system was studied.A simplified flexible rotor-bearing system was constructed,whose rotating speed was between the 1st and 2nd critical rotating *** effect was considered in the analysis,*** rubbing introduce heat and result in the thermally induced *** transient thermal bow was treated as a pair of moments functioning on the shaft segment where rubbing *** shows the amplitude and phase of vibration would be stable after a long *** severity of rubbing affect the stabilization time,which could be regarded as a diagnostic feature to identify the severity of rub happening in a flexible rotor-bearing system.

关键词： thermally induced vibration equivalent thermal moment stabilization time rubbing flexible rotor-bearing system

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Natural Frequency and Dynamic Response of Rotor system of Steam Turbine Modelled with Euler-Bernoulli Beam

Natural Frequency and Dynamic Response of Rotor System of St...

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2015 International power,Electronics and Materials engineering Conference(IPEMEC 2015)

作者： T.T.Deng J.S.Wang X.J.Li J.L.Zhong S.B.Wang S.P.An W.G.Yang D.X.Jiang Guizhou Electric Power Test and Research Institute State Key Laboratory of Control and Simulation of Power System and Generation Equipments Department of Thermal EngineeringTsinghua University

ISBN: (纸本)9781510806474

Based on Finite element method(FEM),analysis of natural frequency and dynamics response is carried out in this ***,modeling of rotor system in steam turbines is analyzed with Euler-Bernoulli beam ***,natural frequency of the rotor system is obtained and ***,dynamic response of the rotor system is simulated and the vibration of the rotor system is *** results show that the proposed model can obtain results with high accuracy,and the model is *** modeling approach presented in this work provides a fast and accurate method in analyzing dynamic characteristics of the practical rotor system in steam turbine units

关键词： Natural frequency transient response rotor system steam turbine Euler-Bernoulli Beam

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Spinning reserve optimization using reliability constrained unit commitment

Spinning reserve optimization using reliability constrained ...

引用

IEEE Region 10 International Conference TENCON

作者： M. Q. Wang P. P. Yang Q. Zhang Y. Wang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University linan Shandong Province China Shandong Electric Power Engineering Consulting Institute Limited Co. linan Shandong Province China Shandong Electric Power Dispatching and Control Center Jinan Shandong Province China

ISBN: (纸本)9781479986422

Maintaining an appropriate amount of spinning reserve (SR) is a necessary condition to keep the reliable operation of power systems. In this paper, a probabilistic method is proposed to determine the optimal SR amount where the reliability levels are well kept. The SR amount is optimized through a reliability constrained unit commitment (RCUC). In the RCUC model the reliability indexes must be smaller than their upper limits are involved as the constraints. The introduction of the reliability indexes makes the optimization computation intensive. In this paper, a multi-step method is proposed to solve the problem efficiently. The reliability indices such as the expected energy not supplied and loss of load probability are analytically approximated in terms of piecewise linear formulations. The approximation error is gradually eliminated as the step progresses. The superiority of proposed technique is illustrated by the IEEE reliability test system. efficiency and validity of the proposed method is verified using the.

关键词： Reliability Indexes Spinning Probabilistic logic Computational modeling Computational efficiency

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Consistency analysis of DFIG wind generation models in PSS/E and PSASP

Consistency analysis of DFIG wind generation models in PSS/E...

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International Conference on Electric Utility Deregulation and Restructuring and power Technologies (DRPT)

作者： Tao Fu Hengxu Zhang Changgang Li Qingwen Xu Xiaoming Liu Ji Zhang Chao Qi Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education School of Electrical Engineering of Shandong University Jinan China School of Electrical and Electronic Engineering Shandong University of Technology Zibo China Economic&Technology Research Institute State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9781467371070

With rapid increase of wind power installed capacity, the operation mode of power system has changed greatly, it is necessary to include modeling and simulation based on wind turbines and farms. Numerical simulation plays a unique role in power system operation and control, and its accuracy turns out to be the focus of electric industry. PSASP and PSS/E, as two main sorts of simulation analysis software at home and abroad respectively, both enable wind turbines electromechanical transient simulation. In this paper, Detailed comparisons are made between Doubly-fed induction generator (DFIG) in PSS/E and PSASP. Finally, simulative results of power system including the models are compared and analyzed.

关键词： control systems power industry Numerical simulation Induction generators Numerical models Frequency conversion

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An integrative study of home energy management for residential energy consumers

An integrative study of home energy management for residenti...

引用

IEEE International Conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Dong Zhang Peng Zeng Yanyu Zhang Shuhui Li State Grid Tianjin Electric Power Research Institute Tianjin China Key Lab. of Networked Control System Chinese Academy of Sciences Shenyang China Department of Electrical & Computer Engineering University of Alabama Tuscaloosa AL USA

This paper studies how to optimize the energy usage of home appliances in the demand response framework from the consumer's perspective. The loads of major home appliances are divided into three categories: fixed loads, regulate-able loads, and deferrable loads. For efficient usage of the home appliances, an integrative optimization of the three category loads is needed. The paper investigates the relation of the integrative optimization and individual optimization of each category load. A regression-based learning strategy is employed to learn HAVC energy consumption model for development of more efficient DR policy. The study is conducted through an integrative computational experiment approach that combines a home energy simulator and MATLAB together for demand response development and evaluation. The paper examines how the integrative demand response of the residential home appliances are affected by dynamic pricing tariffs, seasons, and weather. Case studies are conducted by considering home energy consumption, dynamic electricity pricing schemes, and demand response methods.

关键词： Home appliances Energy consumption Load modeling Optimization Load management Water heating Thermostats

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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...

引用

International Conference on Renewable power Generation (RPG 2015)

作者： Kangping Li Fei Wang Zhao Zhen Yujing Sun Zengqiang Mi Hongbin Sun Chun Liu Bo Wang Jing Lu State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources (North China Electric Power University) Baoding 071003 Hebei Province China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment (Department of Electrical Engineering Tsinghua University) Haidian District Beijing 100084 China China Electric Power Research Institute Haidian District Beijing 100192 China)

ISBN: (纸本)9781510821415

关键词： Feature Extraction Loss quantity of electricity Operating Statuses Identification Support Vector Machine

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Proposed Novel Multiphase-Multilevel Inverter Configuration for Open-End Winding Loads

Proposed Novel Multiphase-Multilevel Inverter Configuration ...

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European Conference on power Electronics and Applications

作者： Sanjeevikumar Padmanaban Patrick Wheeler Frede Blaabjerg Ahmet H. Ertas Joseph Olorunfemi Ojo Pawel Szczesniak Ohm Technologies Research and Development Chennai-600 122 India Power Electronics Machines and Control (PEMC) Group Department of Electrical & Electronics Engineering Nottingham University NG7 2RD-Nottingham United Kingdom Center of Reliable Power Electronics (CORPE) Department of Energy Technology Aalborg University 9220-Aalborg Denmark Department of Biomedical Engineering Engineering Faculty Karabuk University Baliklar Kayasi Mevkii 78050 Karabuk Turkey Center for Energy System Research Department of Electrical & Computer Engineering Tennessee Technological University Cookeville 38505-Tennessee United State of America Institute of Electrical Engineering University of Zielona Góra Licealna 9 65417-Zielona Góra Poland

ISBN: (纸本)9781509014101

This paper presents a new multiphase-multilevel inverter configuration for open-winding loads and suitable for medium power (low-voltage/high-current) applications such as 'More Electric Aircraft'. Modular structure comprised of standard dual three-phase voltage source inverter (VSI) along with one additional bi-directional semi-conductor device (MOSFET/IGBT) per phase and two capacitors with neutral point. The additional switches and capacitors are introduced to generate the additional voltage levels in outputs of the VSI. An original modified single carrier five-level modulation (MSCFM) algorithm is developed in this work and overcomes the complexity of standard space vector modulations, easy for real implementation purposes in digital processors. Proposed six-phase multilevel inverter configuration generates multilevel outputs with benefit in comprises with standard multilevel inverter topologies. Further, the complete numerical model of the proposed AC converter along with pulse-width modulation (PWM) is developed with Matlab/PLECS simulation software's. A set of observed results is presented in balanced working condition and always shown good agreement with the theoretical developments.

关键词： Dual three-phase inverter Six-phase inverter Multilevel inverters Multiphase drives Asymmetrical inverters Multiple space vectors Pulse-width modulation

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