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IEEE General Meeting power& Energy Society

作者： Yiwei Qiu Jin Lin Xiaoshuang Chen Feng Liu Yonghua Songy State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China The University of Macau Macau China

ISBN: (数字)9781728155081

ISBN: (纸本)9781728155098

Continuous-time random disturbances from the renewable generation pose a significant impact on power system dynamic behavior. In evaluating this impact, the disturbances must be considered as continuous-time random processes instead of random variables that do not vary with time to ensure accuracy. Monte Carlo simulation (MCs) is a nonintrusive method to evaluate such impact that can be performed on commercial power system simulation software and is easy for power utilities to use, but is computationally cumbersome. Fast samplings methods such as Latin hypercube sampling (LHS) have been introduced to speed up sampling random variables, but yet cannot be applied to sample continuous disturbances. To overcome this limitation, this paper proposes a fast MCs method that enables the LHS to speed up sampling continuous disturbances, which is based on the Itô process model of the disturbances and the approximation of the Itô process by functions of independent normal random variables. A case study of the IEEE 39-Bus System shows that the proposed method is 47.6 and 6.7 times faster to converge compared to the traditional MCs in evaluating the expectation and variance of the system dynamic response.

关键词： Monte Carlo methods Uncertainty System dynamics power system dynamics Hypercubes Software Random variables

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Design of the PID temperature controller for an alkaline electrolysis system with time delays

arXiv

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arXiv 2022年

作者： Qi, Ruomei Li, Jiarong Lin, Jin Song, Yonghua Wang, Jiepeng Cui, Qiangqiang Qiu, Yiwei Tang, Ming Wang, Jian State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China Tsinghua-Sichuan Energy Internet Research Institute Chengdu China Department of Electrical and Computer Engineering University of Macau China School of Materials Science and Engineering Shanghai University Shanghai China Purification Equipment Research Institute of CSIC Handan China College of Electrical Engineering Sichuan University Chengdu China

Electrolysis systems use proportional-integral-derivative (PID) temperature controllers to maintain stack temperatures around set points. However, heat transfer delays in electrolysis systems cause manual tuning of PID temperature controllers to be time-consuming, and temperature oscillations often occur. This paper focuses on the design of the PID temperature controller for an alkaline electrolysis system to achieve fast and stable temperature control. A thermal dynamic model of an electrolysis system is established in the frequency-domain for controller designs. Based on this model, the temperature stability is analysed by the root distribution, and the PID parameters are optimized considering both the temperature overshoot and the settling time. The performance of the optimal PID controllers is verified through experiments. Furthermore, the simulation results show that the before-stack temperature should be used as the feedback variable for small lab-scale systems to suppress stack temperature fluctuations, and the after-stack temperature should be used for larger systems to improve the economy. This study is helpful in ensuring the temperature stability and control of electrolysis systems. Copyright © 2022, The Authors. All rights reserved.

关键词： Three term control systems

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Circuit breaker arc fault detection based on fault recording data in HVDC converter station 15

Circuit breaker arc fault detection based on fault recording...

引用

15th International Conference on Developments in power System Protection, DPSP 2020

作者： Wang, Bin Dong, Xinzhou Yu, Bin Xie, Min Wang, Haigang State Key Lab of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing10084 China Anhui Electric Power Company Dispatching Center Anhui Hefei230061 China

ISBN: (纸本)9781713827894

Arc fault occurs easily when circuit breakers (CB) cut the AC filters circuits in HVDC substation frequently. A transient arc model and online detection method are proposed in this paper. The proposed arc model is based on the conventional three stages arc model and Mayr arc model, the simulation results coincide with the actual recorded data well. and also, by utilizing the zero sequence arc current, the online arc detection method based on first order accumulation is introduced. simulation results and actual arc fault data proved the correctness and accuracy of proposed arc fault detection algorithm. © 2020 IET Conference Publications.

关键词： Electric circuit breakers

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Thermal Modelling and controller Design of an Alkaline Electrolysis System under Dynamic Operating Conditions

arXiv

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arXiv 2022年

Thermal management is vital for the efficient and safe operation of alkaline electrolysis systems. Traditional alkaline electrolysis systems use simple proportional-integral-differentiation (PID) controllers to maintain the stack temperature near the rated value. However, in renewable-to-hydrogen scenarios, the stack temperature is disturbed by load fluctuations, and the temperature overshoot phenomenon occurs which can exceed the upper limit and harm the stack. This paper focuses on the thermal modelling and controller design of an alkaline electrolysis system under dynamic operating conditions. A control-oriented thermal model is established in the form of a third-order time-delay process, which is used for simulation and controller design. Based on this model, we propose two novel controllers to reduce temperature overshoot: one is a current feed-forward PID controller (PID-I), the other is a model predictive controller (MPC). Their performances are tested on a lab-scale system and the experimental results are satisfying: the temperature overshoot is reduced by 2.2◦C with the PID-I controller, and no obvious overshoot is observed with the MPC controller. Furthermore, the thermal dynamic performance of an MW-scale alkaline electrolysis system is analyzed by simulation, which shows that the temperature overshoot phenomenon is more general in large systems. The proposed method allows for higher temperature set points which can improve system efficiency by 1%. © 2022, CC BY.

关键词： controllers

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Capacity and power Allocation Strategy of Energy Storage Participating in Grid Peak Shaving

Capacity and Power Allocation Strategy of Energy Storage Par...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Tengyun Qi Qiren Wu Jianping Liu Fei Xu Yajing Li He Li Yiming Wang Cuiping Li Junhui Li China Three Gorges Corporation Beijing China China Three Gorges Renewables(Group) Co. Ltd Beijing China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation (Tsinghua University) Beijing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

ISBN: (纸本)9781665434263

High penetration wind power grid with energy storage system can effectively improve peak load regulation pressure and increase wind power capacity. In this paper, a capacity allocation method of energy storage system under peak load regulation scenario is proposed. The upper model combines the investment cost, operation cost, arbitrage income, environmental income, and wind power grid benefits during the entire life cycle of the energy storage system, with the goal of maximizing the net income during the energy storage life cycle; the lower model optimizes the charging and discharging power of the energy storage system according to each energy storage configuration scheme in the upper modeling, and its objective is to minimize the standard deviation of system net load and waste wind power. Finally, under the conditions of local grid load and wind power data, verified the effectiveness of capacity allocation strategy.

关键词： Costs System integration Production Wind power generation Lithium batteries Regulation Resource management

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Analysis and suppression of subsynchronous oscillation of Rudong wind power through MMC-HVDC system

Analysis and suppression of subsynchronous oscillation of Ru...

引用

2021 Annual Meeting of CSEE Study Committee of HVDC and power Electronics (HVDC 2021)

作者： J. Li X. Xie J. Yang H. Li Z. Shi K. Wang C. Fu W. Yang Key Laboratory of Far-shore Wind Power Technology of Zhejiang Province Huadong Engineering Corporation Limited Power China Hangzhou Zhejiang Province 310014 China State Key lab of Control and Simulation of Power Systems and Generation Equipment (Dept. of Electrical Engineering Tsinghua University) Haidian District Beijing 100084 China

There may be complex interaction between the converter control systems of wind power and MMC-HVDC, which will lead to sub-/super-synchronous oscillation and threaten the safe and stable operation of the system. The relevant events have been reported in Guangdong Nan'ao, Shanghai Nanhui and Zhangbei projects. Rudong offshore wind power project is the first offshore wind power transmission system in China, and it is still under construction. Therefore, it is of great significance to carry out the research on the risk analysis and suppression measures of sub-synchronous oscillation in Rudong wind power MMC-HVDC system. First, the time-domain simulation model of Rudong wind power MMC-HVDC system is built in the PSCAD/EMTDC simulation model. Then, the effects of the number of wind turbine generators, wind power output and the parameters of MMC-HVDC controller on the sub-/super-synchronous oscillation characteristics of the system are further analyzed. Finally, the suppression measures based on supplementary frequency dependent gain control are proposed, the application position of the controller is discussed, and the parameter optimization method of the controller is given. The research content provides a certain guiding significance for the operation and control of Rudong wind power MMC-HVDC.

关键词： turbogenerators HVDC power transmission wind turbines power transmission control risk analysis time-domain analysis offshore installations HVDC power convertors wind power plants wind power

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Research on Lithium-ion Battery Safety Risk Assessment Based on Measured Information

Research on Lithium-ion Battery Safety Risk Assessment Based...

引用

2020 IEEE Sustainable power and Energy Conference, iSPEC 2020

作者： Zhou, Xuyan Cheng, Lin Wan, Yuxiang Qi, Ning Tian, Liting You, Feng State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China Energy Storage System Business Unite Tianjin Lishen Battery Joint-Stock Co. Ltd. Tianjin China

ISBN: (纸本)9781728191645

Lithium-ion batteries have the advantages of high energy density, fast power response, recyclability, and convenient to movement, which are unsurpassed by other energy storage systems. However, safety issues such as thermal runaway of lithium-ion batteries have become the main bottlenecks restricting the development of their extensive applications. In practical applications, the demand for battery energy storage scale and specific energy continues to increase, and the contradiction between battery high safety and battery safety has become increasingly prominent. This paper proposes a lithium-ion battery safety risk assessment method based on online information. Effective predictions are essiential to avoid irreversible damage to the battery and ensure the safe operation of the battery energy storage system before a failure occurs. This paper is expected to provide novel risk assessment method and research idea for the development and design of high-safety battery systems. © 2020 IEEE.

关键词： Lithium-ion batteries

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Capacity Configuration of Battery Energy Storage System for Photovoltaic generation System Considering the High Chargerate 10

Capacity Configuration of Battery Energy Storage System for ...

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

作者： Li, Jiaming Qiao, Ying Liu, Guojing Lu, Zongxiang State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Beijing100084 China Economic Institute of Technology State Grid Jiangsu Electric Power Company Nanjing210005 China

Battery energy storage system (BESS) is one of the important solutions to improve the accommodation of large-scale grid connected photovoltaic (PV) generation and increase its operation economy. However, the strong intra-day volatility and severe curtailment of PV power sets a high demand of BESS charge-rate that is a key factor in operation models but ignored in current planning researches. This paper proposes a BESS capacity configuration model for PV generation systems which takes BESS's ability to (dis)charge exceeds its rated power into account. The best charge-rate and power & energy capacity of BESS are optimized by particle swarm optimization (PSO) algorithm. Through an analysis of the annual output statistics of PV power station in the northwest of China, the results show that when considering the high charge-rate of BESS, the optimal BESS capacity configuration rises and comprehensive income of the PV-BESS system will increase. © 2020 The Authors, published by EDP Sciences.

关键词： Battery storage

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Experimental Investigation of Fuel Starvation on Industrial-Sized Solid Oxide Fuel Cells Using Segmented Cathodes and Area Specific Resistances

SSRN

引用

SSRN 2022年

作者： Zhang, Jihao Guo, Huding Lei, Libin Shen, Shuanglin Zheng, Keqing Han, Minfang Laboratory of Hydrogen Energy and Fuel Cells School of Low-Carbon Energy and Power Engineering China University of Mining and Technology Xuzhou221116 China Xuzhou Huatsing Jingkun Energy Co. Ltd. Xuzhou221005 China Smart Energy Research Center School of Materials and Energy Guangdong University of Technology Guangzhou510006 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Energy and Power Engineering Tsinghua University Beijing100084 China

Fuel starvation needs to be timely detected to avoid anode oxidation, especially for industrial-sized Solid oxide fuel cells (SOFCs). In this work, a novel and useful segmented cell measurement method is developed to detect fuel starvation occurring in local regions. For this developed method, the cathode of SOFCs is segmented and only the voltage signal is measured in the segments. Then, the local current-voltage (I-V) curve of each segment is determined using the measured voltage together with the global I-V curve. To validate the data reliability, area specific resistances (ASRs) are calculated and compared among different segments. Varieties of current loading rates and fuel flow rates are correspondingly investigated. Furthermore, the occurrence of fuel starvation is identified using the rapid voltage drop in I-V curves as well as the rapid ASR increment in I-ASR curves. The results show that compared to the voltage drop, the intrinsic ASR increment is a more sensitive and robust criterion to identify the occurrence of fuel starvation. This work will considerably benefit the progress of segmented cell measurements and local fuel starvation identifications. © 2022, The Authors. All rights reserved.

关键词： Cathodes

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Achieving an accurate random process model for PV power using cheap data: Leveraging the SDE and public weather reports

arXiv

引用

arXiv 2021年

作者： Qiu, Yiwei Lin, Jin Zhou, Zhipeng Dai, Ningyi Liu, Feng Song, Yonghua College of Electrical Engineering Sichuan University Chengdu610065 China State Key Laboratory of the Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing100087 China State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China Department of Electrical Engineering Tsinghua University Beijing100087 China

The stochastic differential equation (SDE)-based random process models of volatile renewable energy sources (RESs) jointly capture the evolving probability distribution and temporal correlation in continuous time. It has enabled recent studies to remarkably improve the performance of power system dynamic uncertainty quantification and optimization. However, considering the non-homogeneous random process nature of PV, there still remains a challenging question: how can a realistic and accurate SDE model for PV power be obtained that reflects its weather-dependent uncertainty in online operation, especially when high-resolution numerical weather prediction (NWP) is unavailable for many distributed plants? To fill this gap, this article finds that an accurate SDE model for PV power can be constructed by only using the cheap data from low-resolution public weather reports. Specifically, an hourly parameterized Jacobi diffusion process is constructed to recreate the temporal patterns of PV volatility during a day. Its parameters are mapped from the public weather report using an ensemble of extreme learning machines (ELMs) to reflect the varying weather conditions. The SDE model jointly captures intraday and intrahour volatility. Statistical examination based on real-world data collected in Macau shows the proposed approach outperforms a selection of state-of-the-art deep learning-based time-series forecast methods. Copyright © 2021, The Authors. All rights reserved.

关键词： Random processes

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