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China International Electrical and energy Conference (CIEEC)

作者： Yang Cui Siyu Huang Huiquan Zhang Hongbo Li Key Laboratory of Modern Power Sysntem Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Ji Lin China State Grid Jilin Power Co. Ltd. Training Center Ji Lin China

ISBN: (数字)9781728116754

ISBN: (纸本)9781728116761

energy crisis and environmental pollution are becoming increasingly serious. Increasing the penetration rate of renewable energy in the power system can effectively solve this problem. Wind power and photovoltaic power generation are fluctuating power sources, and their large-scale interconnection will increase the difficulty of grid scheduling. Therefore, based on the regulation characteristics of concentrating solar power station, this paper proposes a green power dispatching strategy for power system with full renewable energy. The purpose of this strategy is to promote the consumption of renewable energy. The cost of power generation of each unit of the system and the security operation constraints of the grid are considered comprehensively. Finally, CPLEX optimization software was used to solve the model. The results verify the feasibility and validity of the proposed model.

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Optimization of electricity generation pattern in China from perspective of water scarcity

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energy Procedia 2019年 158卷 3872-3877页

作者： Jiake Fang Saige Wang Yiyi Zhang Bin Chen Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning Guangxi 530004 China Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 P.R. China

Increasing electricity demand is exerting growing pressure on scarce freshwater resources. Especially in China, the spatial mismatch of energy and water caused water-shortage regions shoulder heavy electricity generation tasks. This spatial layout could further aggravate national water scarcity. In this paper, to provide insights for a more rational electricity generation-trade pattern, we built an electricity generation tasks redistribution model to optimize national electricity generation pattern. In this model, the objective function is minimizing the water use related to electricity generation for drier regions through transferring electricity generation tasks to adjacent wetter regions. The equality constraint condition is that the total amount of national electricity generation must sufficiently supply the total electricity demand. The inequality constraint is that the adjustment range of electricity generation of each province is limited by local installed capacity. The results show that, in the optimal scenario, the water consumption related to electricity generation of regions in water “shortage grade 1” and “shortage grade 2” (drier regions) can be decreased by 46% and 44%, respectively.

关键词： energy water nexus optimization water scarcity electricity generation

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Driving forces of provincial-level CO 2 emissions in China’s power sector based on LMDI method

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energy Procedia 2019年 158卷 3859-3864页

作者： Changyi Liao Saige Wang Jiake Fang Hanbo Zheng Jiefeng Liu Yiyi Zhang Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning Guangxi 530004 China Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 P.R. China

As the major energy consumer and carbon emitter, the power sector accounts for 40% of total carbon emissions in China in 2011. Understanding provincial-level driving mechanisms of CO 2 emissions in power sector is vital for achieving China’s national carbon emissions reduction targets in 2030. To understand the critical provinces and driving forces of CO 2 emissions in power sector, this paper firstly derives seven different driving factors based on the logarithmic mean Divisia index (LMDI) decomposition model. The provincial-level CO 2 emissions in thermal power sectors are calculated from 2004 to 2014. Then, we analyze the CO 2 emissions growth ratio of each province, provincial-level change rate of contribution and positive or negative contributions of the emission dynamics for each driving force. The main results show that the power sector of Inner Mongolia and Jiangsu contribute a lot to national CO 2 emissions. The change of CO 2 emissions of power sector is bigger in developing provinces compared to that in developed provinces. Based on provincial the CO 2 emissions changes and total amounts, more carbon emission reduction policy should be implanted in Inner Mongolia, Xinjiang, Anhui, Jiangsu and Ningxia. In addition, the economic scale, industrial intensity and energy intensity are the critical driving forces for total carbon emission. By investigating the critical driving forces and their contributions in critical provinces, this paper aims to provide theoretical foundations for decarbonizing power sector.

关键词： power sector CO 2 emissions logarithmic mean Divisia index driving force

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Analysis on Application of a Current-source Based DFIG Wind Generator Model

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CSEE Journal of power and energy systems 2018年第3期4卷 352-361页

作者： Jin Ma Dawei Zhao Liangzhong Yao Minhui Qian Koji Yamashita Lingzhi Zhu School of Electrical&Electronic Engineering North China Electric Power University(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources)Beijing 102206China Renewable Energy Research Center China Electric Power Research Institute(State Key Laboratory of Operation and Control of Renewable Energy&Storage SystemsJiangsu Engineering Technology Research Center for Energy Storage Conversion and Application)Nanjing 210003China Power System Sector Central Research Institute of Electric Power IndustryTokyo 201-8511Japan

Models for simulation are vital for the authenticity of the *** doubly fed induction generation(DFIG)for power system stability analysis has attracted a great deal of research interests in the past few years due to the wide applications of DFIG in wind power *** models developed by the wind generator manufacturers are not only complicated,but also proprietary and very specific to their own *** simplified generic models have been *** them,the current-source based model is most widely used for power system stability *** validation work on this model so far has been based on the selected simulation scenarios or limited real ***,there has been no systematic and theoretic analysis on the validity of the current-source based model,which may cause inappropriate applications of this type of model in real engineering *** paper presents the conditions for using the current-source based model for power system stability analysis;then examines the model’s validity under symmetrical and asymmetrical fault *** practices for modeling and validating a real wind farm in North China confirm the validity analysis of this work on the current-source based DFIG model.

关键词： Applicationanalysis current-source doublyfed induction generation(DFIG) modelvalidation

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reversible in-situ exsolution of Fe catalyst in La0.5Sr1.5Fe1.5Mo0.5O6-δ anode for SOFCs 16

reversible in-situ exsolution of Fe catalyst in La0.5Sr1.5Fe...

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16th International Symposium on Solid Oxide Fuel Cells, SOFC 2019

作者： Qi, H. Yang, T. Li, W. Ma, L. Hu, S. Shi, W. Sabolsky, E.M. Zondlo, J. Hart, R. Hackett, G.A. Liu, X. Department of Mechanical and Aerospace Engineering West Virginia University MorgantownWV26506 United States National Energy Technology Laboratory MorgantownWV26505 United States Oak Ridge Institute for Science and Education P.O. Box 117 Oak RidgeTN37830 United States Department of Energy and Power Engineering State Key Laboratory of Control and Simulation of Power System and Generation Equipments Tsinghua University Beijing10083 China GE Global Research Centre NiskayunaNY12309 United States

ISBN: (纸本)9781607688747

In-situ exsolution is widely considered to be an efficient and cost-effective method to enhance the electrochemical performance of a ceramic anode in solid oxide fuel cells (SOFCs). In this study, by controlling the non-stoichiometry of Sr2Fe1.5Mo0.5O6-δ with A-site doping, evenly distributed Fe nano-particles (~100 nm) were obtained on surface of La0.5Sr1.5Fe1.5Mo0.5O6-δ (LSFM) when treated in hydrogen. In a redox environment, excellent exsolution-dissolution reversibility was also demonstrated. Electrical conductivity relaxation (ECR) and electrochemical impedance spectroscopy (EIS) were employed to evaluate the surface reaction kinetics change during exsolution. The surface exchange coefficient (kex) was increased by 1.5 to 2 times with Fe exsolution. Based on distribution of relaxation time (DRT) analysis, the polarization resistance (Rp) associating with surface process was reduced in the first few hours. Both results revealed an enhanced surface reaction kinetics which mainly benefits from the high catalytic activity of exsolved nano-particles to H2 adsorption and dissociation process. © The Electrochemical Society.

关键词： Electrochemical impedance spectroscopy

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Ancillary service for frequency regulation based on multi-energy virtual power plant aggregating factory load 11

Ancillary service for frequency regulation based on multi-en...

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11th IET International Conference on Advances in power system control, Operation and Management, APSCOM 2018

作者： Wang, Jiazhen Shen, Xinwei Xu, Yinliang Guo, Qinglai Sun, Hongbin Chen, Yanbo Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University China

ISBN: (纸本)9781839530043

With the increasing proportion of renewable energy generation into the power grid, more challenges are coming to the safe and stable operation of the power system. In order to keep the balance in energy market, system operator has to purchase much service in ancillary service market to guarantee the stable operation of the power transmission. Virtual power plant (VPP) has been extensively studied as a concept that aggregates multiple resource forms to serve the electricity market. Meanwhile, with the development of energy Internet (EI) Error! Reference source not found., more attention has been focused on the optimization and operation of Integrated energy system (IES), therefore, the introduction and exploration of Multi-energy Virtual power Plant (MVPP) provide possibilities for IES to participate in the Electricity Market and Ancillary Services Market. This paper extracts the flexible electric and heat load in the industrial production process, combining the CHP units and Electric Boiler (EB), which are main heat energy supply devices as well as energy Storage system (ESS) as a MVPP to provide Frequency Regulation (FR) service to the Auxiliary Service Market. Model Predictive control (MPC) method is applied to control the industrial load, the operation of CHP, EB and ESS are gonging to follow the AGC signal issued by the FR market effectively while avoiding impacts on the production process of the factory. Finally, case study validates the effectiveness of the model. © 2018 Institution of Engineering and technology. All rights reserved.

关键词： Model predictive control

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Nonlinear Virtual Inertia control of WTGs for Enhancing Primary Frequency Response and Suppressing Drive-Train Torsional Oscillations

arXiv

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arXiv 2020年

作者： Liu, Bi Huang, Qi Zhao, Junbo Milano, Federico Zhang, Yingchen Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control University of Electronic Science and Technology of China Chengdu Sichuan611731 China Department of Electrical and Computer Engineering Mississippi State University StarkvilleMS39762 United States School of Electrical and Electronic Engineering University College Dublin Dublin Ireland National Renewable Energy Laboratory GoldenCO80401 United States

Virtual inertia controllers (VICs) for wind turbine generators (WTGs) have been recently developed to compensate the reduction of inertia in power systems. However, VICs can induce low frequency torsional oscillations of the drive train of WTGs. This paper addresses this issue and develops a new nonlinear VIC based on objective holographic feedbacks theory. This approach allows transforming the original nonlinear control into a completely controllable system of Brunovsky’s type. simulation results under various scenarios demonstrate that the proposed method outperforms existing VICs in terms of suppression of low frequency drive-train torsional oscillations, enhancement of system frequency nadir as well as fast and smooth recovery of WTG rotor speed to the original MPP point before the disturbance. The proposed method is also able to coordinate multiple WTGs. Copyright © 2020, The Authors. All rights reserved.

关键词： Frequency response

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Study on Hardware-in-the-loop Model and Low Voltage Ride-through Characteristics of Photovoltaic power Station

Study on Hardware-in-the-loop Model and Low Voltage Ride-thr...

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IEEE Electronic power Grid (eGrid)

作者： Liqiang Wang Bin Cao Qi Wang Yu Cong Haiyan Wu Zhang Xiaolin Institute of New Energy Technology Inner Mongolia Electric Power Research Institute Hohhot China Institute of Electric Power System Technology Inner Mongolia Electric Power Research Institute Hohhot China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

ISBN: (数字)9781728157047

ISBN: (纸本)9781728157054

In order to prevent large-scale disconnection accidents of photovoltaic power stations caused by voltage fluctuations and faults in power grids, low voltage ride-through characteristics and other detection tests are needed when photovoltaic power stations are connected to power grids. At present, field test and type test are the main methods of detection, but due to the limitation of detection devices and test conditions, the evaluation of low voltage ride-through characteristics of photovoltaic power stations still remains in the single-machine detection mode, which ignores the interaction between photovoltaic inverters and inverters, inverters and static var generator(SVG) devices. The test results cannot truly reflect the low voltage traversing characteristics of the photovoltaic power stations. Using RT-LAB hardware-in-the-loop simulation platform, real photovoltaic inverters and SVG controllers are introduced to build simulation models of photovoltaic power stations. The differences between single-machine detection of photovoltaic inverters and reactive power compensation devices and low-voltage ride-through characteristics detection of the whole station are compared and studied. The simulation results show that, compared with the stand-alone test, the whole station simulation modeling test method can reflect the voltage rise caused by the reactive power characteristics of photovoltaic inverters and SVG devices after the drop, and more truly reflect the low voltage traversing characteristics of photovoltaic power stations.

关键词： Inverters Photovoltaic systems power system stability Low voltage Computational modeling

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Coordination of Electricity and Heat Dispatch Strategy Combining Carbon Trading and Peak Shaving Compensation Mechanism

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Journal of Physics: Conference Series 2020年第1期1578卷

作者： Weichun Ge Zhao Li Dong Zhao Zhenyu Li Qing Ye Yu Fu Na Yu State Grid Liaoning Province Electric Power Company Limited Shenyang 110006 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 China Fuxin Power Supply Company of Liaoning Electric Power Co. Ltd Liaoning Fuxin 123000 China

Integrated power generation group's participation in the carbon trading market and peaking auxiliary service market is one of the effective ways to promote low carbon power development and wind power consumption. Aiming at the serious problem of wind abandonment during the low temperature period of winter heating period in Northeast China, a multi-market mechanism is proposed. The carbon trading is analysed. Firstly, and the regional peak demand optimization model based on multi-scenario stochastic programming and the maximum wind power acceptance power calculation model of regional power grid is constructed to calculate the peak shaving demand and existing peak shaving in each period of the regional power grid. Maximum wind power acceptance under resources; Based on the coordination of carbon quotas among power generation groups and the subsection compensation mechanism of compensated peak shaving costs, and aiming at the minimum sum of total coal consumption costs, wind abandonment penalties and compensation costs, integrated dispatching model considering carbon trading and peak shaving compensation is established. Finally, an example is given to verify the rationality and effectiveness of the proposed strategy.

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Accommodating renewable energy Sources into the modern power system via a General Coordinated Mechanism

Accommodating Renewable Energy Sources into the Modern Power...

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IEEE power and energy Society General Meeting

作者： Jing Yu Ye Guo Hongbin Sun Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Institute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Tsinghua University Beijing China

In order to better accommodate renewable energy sources (RESs), a general coordinated mechanism for modern power system has been proposed, which is simultaneously appropriate for economic dispatch and market clearing under the current structure of wholesale markets. In which, the system operator can achieve a global optimum under uncertainties by investing independent aggregators (IAs) with better autonomies on trade-offs between expected profits and risks. Meanwhile, IAs with RESs are free to model their internal uncertainty in a heterogeneous manner and integrate the local information into tailored bids without revealing privacy. Moreover, a parametric-programming-based distributed (PPD) algorithm is designed to support the once-daily communication mechanism. The case studies validated the performance of the proposed mechanism.

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