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2019 2nd International Conference on Advanced Algorithms and control Engineering, ICAACE 2019

作者： Li, Chen Wang, Li Yu, Qiao Li, Meng Wang, Bolun Zhou, Yingjian Zhang, Zhewen State Grid Qingdao Power Supply Company Qingdao Shandong Province266000 China State Grid Jiangsu Electric Power Co. Ltd Research Institute Nanjing Jiangsu Province210000 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan Shandong Province250061 China

With a large number of new components and new technologies widely used in power system, the method of power equipment outage probability based on law of large number will no longer be applicable due to the lack of statistical data. This paper considers the high order uncertainty of component failure probability under the condition of small sample size and uses interval values to represent the reliability parameters of the component when carrying out the risk assessment of power system, and propose Belief Universal Generating Function by combining Universal Generating Function with Belief Function Theory. This method can effectively avoid over estimation in interval arithmetic and get a more accurate interval value of power system risk assessment index. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Risk assessment

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Optimal allocation of distributed energy resources in energy microgrids 3

Optimal allocation of distributed energy resources in energy...

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3rd IEEE International Conference on Energy Internet, ICEI 2019

作者： Fu, Xueqian Jia, Qianqian Wu, Xianping Li, Gengyin Li, Guodong Wang, Huaizhi College of Information and Electrical Engineering China Agricultural University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China College of Mechatronics and Control Engineering Shenzhen University Shenzhen China

ISBN: (纸本)9781728114934

With the development of energy internet, the hybrid energy systems are attracting increased attention. Optimum distributed energy sources placement is crucial to the operation of an energy internet since it determines how much power can generate for cold, heat and power demands. Cold and heat load models, PV model, cloudy day model, natural gas combined cold, heat and power system model are established to study the influences of solar radiations and temperature of outdoors. The running characteristics of the natural gas combined cold, heat and power system are studied by reference to C65. Three criteria are proposed to measure the technology and economic benefits of an energy grid comprising PV and natural gas combined cold, heat and power system. The PSO-Catastrophe hybrid algorithm is presented to find the optimal solution, including the optimum areas of PV and number of C65. There are four seasons in simulation: spring, summer, autumn and winter. The simulation results prove the effectiveness of the proposed method, and the influences of solar radiations on output in energy system are described in the end. © 2019 IEEE.

关键词： Natural gas

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Investigate the influence of renewable energy penetration on the electricity market equilibrium 8

Investigate the influence of renewable energy penetration on...

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8th Renewable power Generation Conference, RPG 2019

作者： Li, Chenchen Yang, Zhifang Zhang, Yichi Yu, Juan Zou, Peng State Key Laboratory of Power Transmission Equipment and System Security and New Technology College of Electrical Engineering Chongqing University Chongqing China CQU-UC Joint co-op Institute Chongqing University Chongqing China Power Dispatch and Control Center Shanxi Electric Power Company of SGCC Shanxi China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

China is performing the electricity market reform. With the increasing penetration of renewable energy, it is important to understand how the renewables influence the market performance. Renewables are different from the traditional generators in two aspects: 1) the marginal costs of renewable are small;2) renewables cause fluctuations and increase the requirement of auxiliary service. In this paper, we analyse the influence of renewables on the market equilibrium. A multi-period Supply Function Equilibrium (SFE) model is formulated, where the upper level model maximizes individual profits of market participants, and the lower level model minimizes the market operational costs. To avoid the infeasibility of the equilibrium model, the relaxation of the complementary slackness condition is utilized. This paper exhibits how the increase of renewable penetrations affects the optimal bidding and profits of other market participants, including the traditional generators, hydro generator, and storage. The influence of renewables on the market equilibrium is exhibited as well. © 2019 Institution of Engineering and Technology. All rights reserved.

关键词： Profitability

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Optimizing the power Generation Structure for Low Carbon Development Target in China: A Comparison Study of Endogenous and Exogenous Technology Improvements

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Energy Procedia 2019年 158卷 4055-4060页

作者： Hai Huang Jingxuan Hui Wenjia Cai Can Wang State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC) and School of Environment Tsinghua University Beijing 100084 China Ministry of Education Key Laboratory for Earth System Modeling and Department of Earth System Science Tsinghua University Beijing 100084 China

The power generation system will play a decisive role in realizing China’s low carbon development goals. When identifying the optimized power generation structure to meet a set of given low carbon goals, the technology parameters are an important determinant of the results. In previous studies, most models exogenously set the technologies’ cost changes, which usually bring a great bias. This article establishes an endogenous (for solar photovoltaic and wind power generation technology costs) optimization model of China’s power sector and simulated the sector from 2014 to 2040. Two scenarios were built to investigate the optimized performance of the power sector: the Business as Usual scenario (BAU) and the Intended National Determined Contribution scenario (NDC). In addition, this paper compares the differences in the optimization results under the two methods for treatment of technology change in the model, exogenous and endogenous. In the BAU scenario, emerging technologies account for 40.7% of the total installed capacity in 2040. Due to the variation of the costs in the exogenous setting, the solar power and other emerging technologies develop slowly and the optimization results are significantly different from that of the endogenous setting. In the NDC scenario, the proportion of emerging technologies increases more, accounting for 43.7% of the total installed capacity, of which wind power and solar power account for 12.2% and 11.5% respectively, and the total CO 2 emissions peak around 2033. We conclude from the comparison that, for the NDC scenarios, although there are some differences in investment cost in the first few years, different settings for technology change in the model don’t significantly affect the renewable energy demand and final policy decisions.

关键词： power sector technology parameters learning curve carbon dioxide emissions

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Nonintrusive uncertainty quantification of dynamic power systems subject to stochastic excitations

arXiv

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arXiv 2020年

作者： Qiu, Yiwei Lin, Jin Chen, Xiaoshuang Liu, Feng Song, Yonghua State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Department of Electrical and Computer Engineering University of Macau 999078 China Department of Electrical Engineering Tsinghua University Beijing100087 China

Continuous-time random disturbances (also called stochastic excitations) due to increasing renewable generation have an increasing impact on power system dynamics;However, except from the Monte Carlo simulation, most existing methods for quantifying this impact are intrusive, meaning they are not based on commercial simulation software and hence are difficult to use for power utility companies. To fill this gap, this paper proposes an efficient and nonintrusive method for quantifying uncertainty in dynamic power systems subject to stochastic excitations. First, the Gaussian or non-Gaussian stochastic excitations are modeled with an Itô process as stochastic differential equations. Then, the Itô process is spectrally represented by independent Gaussian random parameters, which enables the polynomial chaos expansion (PCE) of the system dynamic response to be calculated via an adaptive sparse probabilistic collocation method. Finally, the probability distribution and the high-order moments of the system dynamic response and performance index are accurately and efficiently quantified. The proposed nonintrusive method is based on commercial simulation software such as PSS/E with carefully designed input signals, which ensures ease of use for power utility companies. The proposed method is validated via case studies of IEEE 39-bus and 118-bus test *** codes 93E10 Copyright © 2020, The Authors. All rights reserved.

关键词： Uncertainty analysis

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Event-Driven Fast Frequency Response for Energy Storage system Considering state of Charge

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IOP Conference Series: Earth and Environmental Science 2021年第1期838卷

作者： Yongji Cao Hengxu Zhang Dong Yang Zhimin Gao Hao Qin Jinye Yang Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Research Institute State Grid Shandong Electric Power Company Jinan China

The increasing penetration of renewable energy sources reduces the equivalent inertia and spinning reserve. power systems are becoming more and more vulnerable when subjected to active power deficits. With the trait of quick response and flexible ramp, the energy storage system (ESS) offers a promising capability to counter frequency decline after large disturbances. This paper proposes an event-driven fast frequency response (EFFR) approach for the ESS to sustain frequency stability. A centralized EFFR control framework is established, in which the wide area information is collected, and the disturbance power is broadcasted to ESSs under contingencies. Moreover, a fuzzy logic controller (FLC) is employed to determine the power set-point of the ESS based on the disturbance power and state of charge (SOC). A case study is presented to validate the feasibility and effectiveness of the proposed approach.

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Frequency control Strategy of DFIGs based on Improved Virtual Inertia Method

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IOP Conference Series: Earth and Environmental Science 2021年第1期838卷

作者： Zhimin Gao Yongji Cao Hengxu Zhang Hao Qin Dong Yang Huan Ma Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Research Institute State Grid Shandong Electric Power Company Jinan China

The DFIGs can participate in frequency control by virtual inertia method. After exiting the frequency control, secondary frequency drop will occur inevitably. The current study of the problem mostly focused on the rotor speed recovery strategy and PD control parameter optimization problems, which cannot eliminate the phenomenon of secondary frequency drop in essence. This paper proposes a frequency control strategy based on the improved virtual inertia control method. When the DFIG exits the frequency modulation process, the supplementary control component based on the turbine speed is added to avoid the sudden drop of output power, so as to suppress the secondary frequency drop. Finally, a simulation model is built in Matlab/Simulink, and the feasibility of the proposed strategy is verified in two case studies of power system frequency reduction and load fluctuation.

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A Method for Multi-HVDC Grouping Based on Spectral Clustering

A Method for Multi-HVDC Grouping Based on Spectral Clusterin...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Xiaohui Wang Yu Bai Yadong Gao Dong Liu Yan Zhang Zhidong Wang Feng Gao Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Zhejiang Huayun Electric Power Engineering Design & Consulting Co. Ltd Hangzhou China State Grid Corporation of China (SGCC) State Grid Economic and Technological Research Institute Co. Ltd Beijing China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

To satisfy the increasing power demands in load center, multiple HVDCs have been integrated into the receiving grid in China. The reality raises the coordination issues of HVDCs. A HVDC grouping method for optimizing the management of multiple HVDCs is proposed in this paper. Several kinds of relationship in coordination and complementarity between HVDCs are analyzed and quantified. Based on graph theory, HVDC grouping is transformed into a graph-cut problem and solved by spectral clustering algorithm. The proposed method is implemented on a practical multi-HVDC grid, and the results show its feasibility and effectiveness.

关键词： HVDC transmission Voltage control Reactive power Couplings Indexes Clustering algorithms Converters

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Inertia Evaluation for power system Based on Quasi-Steady-state Data

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IOP Conference Series: Earth and Environmental Science 2021年第1期838卷

作者： Hao Qin Yongji Cao Hengxu Zhang Zhimin Gao Huan Ma Dong Yang Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China State Grid Shandong Electric Power Research Institute State Grid Shandong Electric Power Company Jinan China

With the integration of renewable energy sources, the power system equivalent inertia has dropped significantly. It is urgent to conduct the online evaluation of inertia. Current inertia evaluation methods are mostly based on the rate of change of frequency under large disturbances. In order to evaluate inertia under quasi-steady-state operation, an evaluation method is proposed based on system identification. The monitoring data under the quasi-steady-state operating conditions of the power system is acquired through the synchronous phasor measurement units (PMUs). And the PMU data including frequency and active power under small disturbances are used for the quantitative evaluation of inertia. The WSCC 9-bus system is established to verify the effectiveness of the proposed method.

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Atmospheric aging effects on aerosol ice nucleation

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Earth-Science Reviews 2025年 269卷

作者： Ziye Huang Wei Hu Jie Chen Jialei Zhu Zhijun Wu Yue Zhang Pingqing Fu Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin 300072 China Tianjin Bohai Rim Coastal Earth Critical Zone National Observation and Research Station Tianjin University Tianjin 300072 China State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing 100081 China Institute for Atmospheric and Climate Science ETH Zürich Zurich 8092 Switzerland Department of Atmospheric Sciences Texas A&M University College Station TX 77843 USA

Atmospheric ice-nucleating particles (INPs) play a crucial role in the climate system of the Earth, with their physicochemical properties strongly impacting their ice-nucleating activities (INA). These physicochemical properties of INPs can be profoundly altered by atmospheric aging processes. This article summarizes previous laboratory studies and field observations discussing the variation of INA impacted by atmospheric aging, including chemical modification, aging in water or aqueous solutions, changing of mixing state and morphology, and special aging pathways relevant to biological INPs. The inconsistencies between laboratory findings and field observations suggest that innovative ice-nucleating mechanisms need to be proposed to bridge datasets across different measurements. Furthermore, laboratory and field measurements of aged INPs could refine INP parameterization in climate models. Lastly, we present key perspectives of INA that merit further research and examination, especially including aging processes that involve multiple phases, complex morphology, or under upper tropospheric conditions, as well as poorly characterized biological INPs and anthropogenic aerosols. These research directions will help advance the overall predictability of INPs in model simulations and improve critical understanding of the climatic effect of atmospheric aerosols.

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