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Multi-time scale energy management of wind farms based on comprehensive evaluation technology

IOP Conference Series: Earth and Environmental Science 2017年第1期93卷

作者： Y P Xu Y H Huang Z J Liu Y F Wang Z Y Li L Guo State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing China State Grid Jilin Electric Power Company Limited Changchun Jilin China

A novel energy management of wind farms is proposed in this paper. Firstly, a novel comprehensive evaluation system is proposed to quantify economic properties of each wind farm to make the energy management more economical and reasonable. Then, a combination of multi time-scale schedule method is proposed to develop a novel energy management. The day-ahead schedule optimizes unit commitment of thermal power generators. The intraday schedule is established to optimize power generation plan for all thermal power generating units, hydroelectric generating sets and wind power plants. At last, the power generation plan can be timely revised in the process of on-line schedule. The paper concludes with simulations conducted on a real provincial integrated energy system in northeast China. simulation results have validated the proposed model and corresponding solving algorithms.

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Research of evaluation method of auxiliary frequency modulation in gas turbine unit

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IOP Conference Series: Earth and Environmental Science 2021年第1期725卷

作者： Qiang Li Qingguang Yu Yingxin Ma Zhicheng Jiang Yuming Liu Research Institute CNOOC Beijing China State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing China Power dispatching and control center State Grid Jibei Electric Power Company Beijing China

In this paper, according to the mechanical structure of the gas turbine set and the process of primary frequency modulation, the models including the speed regulating system, combustion chamber, temperature control system, torque control system, acceleration control system and synchronous generator are established. Bidirectional DC/DC converter and inverter model are established according to the circuit structure and corresponding control strategy. According to the primary frequency modulation process of the gas turbine, the control strategy of the energy storage system participating in the primary frequency modulation is set. The energy storage system uses the traditional droop control strategy and combines the primary frequency modulation process of gas turbine to improve the frequency modulation performance of gas turbine and offshore platform microgrid. Finally, PSCAD transient simulation software is used to build offshore platform and a multi-platform interconnection micro-grid model, results of the simulation show high performance of the designed microgrid.

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PWM rectifier impedance modelling and analysis

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IOP Conference Series: Earth and Environmental Science 2021年第1期675卷

作者： Yiyuan Bie Yang Li Guoqing He Xing Zhang State Key Laboratory of Electrical Insulation and Power Equipment Shaanxi Key Laboratory of Smart Grid School of Electrical Engineering Xi'an Jiaotong University Xi'an Shaanxi Province 710049 State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems China Electric Power Research Institute (CEPRI) Beijing China

PWM rectifiers are widely used in the field of new energy power generation. The study of small signal impedance modeling of PWM rectifier is helpful to analyze the stability of new energy grid connected impedance. In this paper, the small-signal impedance model of the PWM rectifier is first established, and then the impedance model of the PWM rectifier is scanned through MATLAB using the impedance sweep method, and compared with the analytical expressions in this paper, the accuracy of the impedance model of PWM rectifier established in this paper is verified.

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Nitrogen Removal from Dewatering Liquid of Landfill Sludge by a Two-Stage Anoxic/Oxic Membrane Bioreactor Via Partial Nitrification and Denitrification

SSRN

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SSRN 2023年

作者： Ma, Zihang Lin, Lifeng Xi, Jiafu Gong, Xiaolu Wang, Jianqiao Peng, Peng An, Ying Cao, Jing Wu, Zhichao Zhou, Zhen Shanghai Engineering Research Center of Energy – Saving in Heat Exchange Systems College of Environmental and Chemical Engineering Shanghai University of Electric Power Shanghai200090 China Shanghai Municipal Engineering Design Institute Co. Ltd. Shanghai200092 China State Key Laboratory of Pollution Control and Resource Reuse School of Environmental Science and Engineering Tongji University 1239 Siping Road Shanghai200092 China

Two pilot-scale two-stage anoxic/oxic membrane bioreactors were operated at different dissolved oxygen (DO) levels to evaluate the nitrogen removal performances for treating landfill sludge dewatering liquid (SDL) via partial nitrification (PN) and denitrification. Compared to the low DO system (2.0 – 3.0 mg/L), the high DO system (5.0 – 6.0 mg/L) exhibited efficient PN and denitrification, with high nitrite accumulation efficiency (98.5%) and nitrogen removal efficiency (98.0%). The high DO system removed nitrogen mainly via PN (53.8%) and simultaneous nitrification and denitrification (45.1%). Kinetic inhibition tests verified the optimal DO and pH at 5.0 mg/L and 8.5. Enriched nitrifying (Nitrosomonas) and denitrifying bacteria (Thiopseudomonas, Pseudomonas, and Truepera) in the high DO environment accomplished the nitrogen removal process. Metagenomic analysis showed that the high DO system enriched functional genes such as amoA/B/C, hao, and nirK/S, while the low DO system was unsuitable for PN of high ammonia nitrogen wastewater. © 2023, The Authors. All rights reserved.

关键词： Bioreactors

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Day-ahead hourly photovoltaic power forecasting using attention-based CNN-LSTM neural network embedded with multiple relevant and target variables prediction pattern

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Energy 2021年 232卷

作者： Jiaqi Qu Zheng Qian Yan Pei Beihang University Beijing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

Accurate forecasting of photovoltaic power plays a pivotal role in the integration, operation, and scheduling of smart grid systems. Notably, volatility and intermittence of solar energy are the primary constraints influencing the accuracy of photovoltaic power prediction. This work proposes, an attention-based long-term and short-term temporal neural network prediction model (ALSM) assembled using the convolutional neural network (CNN), long short-term memory neural network (LSTM), and attention mechanism under the multiple relevant and target variables prediction pattern (MRTPP). This is geared towards capturing the short-term and long-term temporal modes and achieving the day-ahead hourly photovoltaic power forecasting. The proposed method is verified by the historical data of the photovoltaic system downloaded from the DKASC website. Consequently, the results indicate that the forecasting accuracy using the MRTPP pattern is better than those common input-output prediction patterns. Moreover, the proposed ALSM model under the MRTPP pattern demonstrates more superiority compared to a few PV power forecasting methods including the statistical methods as well as artificial intelligence methods. Subsequently, different important parameters affecting the accuracy of forecasting range of the model are analyzed, and suggestions on memory lengths corresponding to the divergent prediction range are provided.

关键词： Photovoltaic power forecasting Attention based CNN-LSTM neural Network Multiple relevant and target variables prediction pattern Time series forecasting

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Uncertainty Analysis of Annual Wind Speed in Northern China and Its Potential Impact on Energy Sector

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Journal of Physics: Conference Series 2021年第1期2022卷

作者： Zongpeng Song Shuanglei Feng Bo Wang Shuanglong Jin Shu Wang Ju Hu Xiaolin Liu Yuyang Guo China Electric Power Research Institute Beijing 100192 China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems Beijing 100192 China

In this article, the wind energy uncertainty caused by annual wind speed variation in northern China is studied. The research time period is from 1991 to 2020, and the ERA5 reanalysis wind data is used. The uncertainty statistical indicators are the standard deviation percentage and the maximum deviation percentage of the average wind power density. The analysis results show that the uncertainty of wind energy in Qinghai, Xinjiang, Inner Mongolia, Shanxi is relatively large, these areas are more likely to experience large fluctuations of wind power. Among them, the standard deviation percentage of Qinghai and Xinjiang accounts for 15%-30% or higher. The maximum deviation percentage of Qinghai, Xinjiang, Inner Mongolia, Shanxi accounts for 30%-60% or higher. In addition, the empirical orthogonal function analysis (EOF) results show that there is an anti-phase mechanism of local wind energy fluctuations in Northern China, especially between the Northeast and Northwest regions, which implies that the power transmission between the Northeast and Northwest regions is helpful to reduce the wind energy uncertainty effect.

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Evaluation Model for Smart Distribution Network Planning under Energy Interconnection

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IOP Conference Series: Earth and Environmental Science 2019年第4期300卷

作者： Yan Zhang Zefu Jiang Jinsen Liu Wenxia Liu Hua Gao Yanmin Wang Power Grid Planning Research Center of Guizhou Power Grid Co. Ltd Guiyang Guizhou 550003 China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation Department of Electrical Engineering Tsinghua University Haidian Beijing 100084 China

Due to the development of the energy interconnection, smart distribution networks (SDNs) should needs be transformed and upgraded to meet new demands. In order to assess the SDN planning, a new index system was conducted from the five attributes. The quantitative methods of all criteria were also defined. An evaluation model was proposed based on AHP weighting and TOPSIS methods. Empirical analysis was performed to verify the feasibility of the evaluation system.

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Performance analysis of a photovoltaics aided coal-fired power plant

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Energy Procedia 2019年 158卷 1348-1353页

作者： Mingkun Jiang Yuexia Lv Tiankun Wang Zunqiang Sun Jianmin Liu Xinhai Yu Jinyue Yan Key Laboratory of Pressure Systems and Safety (MOE) School of Mechanical Engineering East China University of Science and Technology Shanghai 200237 China State Key Laboratory of Clean and Efficient Coal-fired Power Generation and Pollution Control Guodian Science and Technology Research Institute Nanjing 210023 China Applied Energy Innovation Institute Ningbo 315201 China School of Mechanical & Automotive Engineering Qilu University of Technology (Shandong Academy of Sciences) Jinan China China Energy Group Beijing 100011 China School of Business Society and Technology Mälardalen University Västerås Sweden School of Chemical Science and Engineering Royal Institute of Technology Stockholm Sweden

In this article, integration of photovoltaics (PV) into a coal-fired power plant was proposed. The performance including economic analysis and environmental impact was conducted by a case study in the northwest area of China. The results show that the PV system can replace part of auxiliary power consumption using renewable electricity to reduce internal power consumption and the emissions. Due to the feature of the integration into a power plant, the curtailment of solar PV electricity does not occur compared to stand-alone PV system. The investment cost, operation and maintenance (O&M) expenditure were feasible compared with other PV power generation plants.

关键词： photovoltaics coal-fired power plants auxiliary power consumption

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controller parameters tuning of PV Based on PSASP/UD by AGA

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IOP Conference Series: Earth and Environmental Science 2019年第1期384卷

作者： Guanghui Hua Chun Wang Ladier Fa Linjun Shi State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Nanjing Jiangsu China HoHai University Nanjing China

Photovoltaic (PV) station generally adopts single-stage grid-connection inverter considering the cost and efficiency, and the controller parameters have great influence on the grid-connected performance of PV system. The PV array, maximum power point tracking (MPPT), the inverter and its control system models are built in PSASP/UD. The PI parameters of invert controller are tuned by adaptive genetic algorithm (AGA) and genetic algorithm (GA) respectively in single-machine infinite bus system (SMIBS) based on Simulink. Finally, single-machine infinite bus system (FMTAS) with PV based on PSASP/UD is used to verify the feasibility and effectiveness of models and validity of controller parameters.

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Contaction of Atoms for Outstanding Dielectric Characteristics in Kx-Passivated Polymer Dielectrics

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SSRN 2022年

作者： Li, Xiao-Fen Wang, Tian-Yu Liu, Bai-Xin Liu, Jian-Bo Zhang, Gui-Xin Wang, Zhong Lin School of Materials Science and Engineering Tsinghua University Beijing100084 China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China CAS Center for Excellence in Nanoscience Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing100083 China School of Nanoscience and Technology University of Chinese Academy of Sciences Beijing100049 China School of Material Science and Engineering Georgia Institute of Technology AtlantaGA30332 United States

High dielectric characteristics polymer dielectrics are crucial for high-power, high-integration, and high-energy storage density electrical devices and film capacitors. However, polymer dielectrics accumulate much charge during operation, causing local electric field distortion and flashover or breakdown. The deep-level defect state (electron/hole accumulation center) is a fundamental factor affecting dielectric strength. Unfortunately, related research, especially on passivating deep-level defects in polymer dielectrics, is minimal. In this paper, based on experiments and first-principles calculations, it is found that KX (X=F, Cl, Br, I) effectively passivates deep-level defect states in polymer dielectrics. Further analysis of the physical passivation mechanism reveals that the deep-level defect cation passivation principle is the cation dipole effect on polymers. The principle of anion passivation of deep-level defects by suspending anions and cations is the key to producing more stable C covalent bonds. This stable covalent bond transfers the local charge from the C with the lone electron pair that originally contains the hanging bond. Therefore, some transfer occurs and the anion implements effective passivation. This paper addresses the design of high-performance polymer dielectrics, providing a reference for experimental and theoretical analyses. © 2022, The Authors. All rights reserved.

关键词： Passivation

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