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

作者： Jianguo Zhou Ye Guo Zichao Meng Lun Yang Hongbin Sun Tsinghua-Berkeley Shenzhen Institute Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China School of Automation Science and Engineering Xi'an Jiaotong University Xi'an China State Key Laboratory of Power Systems Operation and Control (Tsinghua University) Tsinghua University Beijing China

The increasing penetration of Renewable Energy Sources (RES) and (Multi-Terminal) High Voltage Direct Current (HVDC) is challenging the system frequency stability. The RES such as Wind Turbine Generators (WTGs) are being required to automatically provide frequency regulation support for the main grid. A Low-Order Frequency Response Model (LOFRM) is proposed for the complete Wind Farm (WF)-MTDC system in this paper. First, a high-order model that can be regarded as the virtual governor turbine is developed for the WF-MTDC system whose structure is similar to that of conventional generators. An LOFRM is then proposed to surrogate approximately the high-order model, whose parameters are determined by using a regression-based numerical method. The results show that the proposed LOFRM can properly approximate the complicated high-order model, and be acceptable if used for stability analysis and even maybe optimization problems.

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An Active and Adaptive Image Enhancement Method for Applications in Low-Light and Narrow Environment

An Active and Adaptive Image Enhancement Method for Applicat...

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Chinese Automation Congress (CAC)

作者： Mingrui Luo En Li Rui Guo Shengchuan Li Cunfeng Kang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China State Grid Shandong Electric Power Company Jinan China State Grid Liaoning Electric Power Company Limited Shenyang China Mechanical engineering and Applied Electronic Technology Beijing University of Technology Beijing China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

The images in the low-light and narrow environment generally have the problems of non-uniform illumination, low contrast, and large random noise. Existing algorithms are mostly subject to the imaging effect of the original image, and are prone to failure in extremely weak light or strong reflective environments. This paper proposes an active and adaptive image enhancement method. First of all, this paper combines the distributed light source model and the difference in brightness between frames to complete active feedback fill light, which improves the quality of the input image. Then gamma correction, contrast limited adaptive histogram equalization and bilateral filter are designed to enhance image details and suppress noise amplification. Combined with fuzzy inference parameter self-adjustment method, algorithm adaptability is improved. Finally, through experimental verification, the method proposed in this paper can effectively enhance the images in the low-light and narrow environment.

关键词： Light sources Histograms Adaptive equalizers Filtering algorithms Brightness Image color analysis Image enhancement

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CO2 Mineralization and Heavy Metal Leaching of Multi-Source Ashes from Municipal Solid Waste Incineration

SSRN

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SSRN 2024年

作者： Cheng, Yiming Li, Zijian Zhang, Peng Chen, Jie Qin, Changlei Key Laboratory of Low-grade Energy Utilization Technologies and Systems of Ministry of Education School of Energy and Power Engineering Chongqing University Chongqing400044 China Chongqing Sanfeng Environment Group Corp. Ltd. Chongqing400084 China State Key Laboratory of Coal Mine Disaster Dynamics and Control School of Resources and Safety Engineering Chongqing University Chongqing400044 China

Mineralization holds great promise in simultaneously fixing CO2 and treating ash from the municipal solid waste incineration (MSWI). However, characteristics of CO2 mineralization and heavy metal leaching largely depends on the generation process of ashes. Herein, we report a systematic evaluation on the direct aqueous carbonation of multi-source MSWI ashes and leaching behavior of heavy metals before and after mineralization. Influencing factors for CO2 mineralization are determined to follow the order of CO2 concentration > temperature > solid-liquid ratio > stirring speed. Spray tower fly ash from the semi-dry process and bag filter fly ash from the dry process exhibit better sequestration capacities of 82.3 g-CO2/kg-ash and 150.9 g-CO2/kg-ash with a maximum CO2 removal rate of 0.117 mmol/s and 0.191 mmol/s among all ashes. Moreover, a significant reduction in Pb leaching concentration is observed after CO2 mineralization. These finding provides a theoretical basis for the potential intensive utilization of MSWI ashes in CO2 mitigation. © 2024, The Authors. All rights reserved.

关键词： Carbon dioxide

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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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Real-Time Particle Cluster Manipulation with Holographic Acoustic End-Effector under Microscope

Real-Time Particle Cluster Manipulation with Holographic Aco...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Siyuan An Chengxi Zhong Mingyue Wang Shudong Wang Haojian Lu Jiaqi Li Youfu Li Song Liu School of Information Science and Technology ShanghaiTech University Shanghai China School of Electrical Engineering Xian Jiaotong University and with State Key Laboratory of Electrical Insulation and Power Equipment Xi an School of the College of Control Science and Engineering Zhejiang University China Institute of Cyber-Systems and Control Hangzhou Department of Mechanical Engineering City University of Hong Kong HK

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Non-contact particle cluster manipulation holds significant promise in the realms of advanced manufacturing, chemistry, and pharmacy. However, achieving precise and dynamic control over the spatial kinematics of particle clusters remains a significant challenge, necessitating real-time and accurately programmable robotic end-effector. To this end, we develop an innovative non-contact, precise particle cluster manipulation system with ultrasonic phased array transducer (PAT) under microscope. This system combines a physics-based deep learning algorithm for real-time calculation of phase-only holograms (POHs), supporting PAT to dynamically form acoustic fields, namely holographic acoustic end-effector (HAE). Leveraging the dynamically and accurately generated HAEs by our system, kinematics control of particle clusters including aggregation, rotation, and translation is yielded. The extensive experiments well demonstrated the effectiveness of proposed system for particle cluster manipulation.

关键词： Deep learning Visualization Translation Microscopy Heuristic algorithms Clustering algorithms Ultrasonic transducer arrays Kinematics Real-time systems End effectors

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Enhancing N-1 Security via Building Thermostatic Load control Strategy

Enhancing N-1 Security via Building Thermostatic Load Contro...

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International Conference on the European Energy Market

作者： Xin Jia Haiwang Zhong Qing Xia Molin Huo Xingyang Zhu Chongqing Kang Department of Electrical Engineering State Key Lab of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China State Grid (Suzhou) City & Energy Research Institute Jiangsu China

With the increase of distributed energy resources (DER), energy network's uncertainty is growing continuously, and grid operations is encountering severe challenges. Conventionally, the N-1 security criteria is satisfied mainly via adjusting generators' output. But in some cases, it is not effective because of the complex network constraints and the generators' limited dispatch range. With the development of smart buildings, there are lots of thermostatic controlled loads inside the buildings. The flexibility of building energy consumption is underutilized in the past. Therefore, a new method is proposed in this paper to enhance N-1 security via building thermostatic load control. A three-stage model is formulated. An energy-consumption simulation software termed EnergyPlus is utilized to calculate the relationship between indoor temperature settings and thermostatic loads of buildings. Case studies based on the modified IEEE-30 bus system with building thermostatic load validate the effectiveness of the proposed control method.

关键词： EnergyPlus N-1 security Smart building Thermostatic load Three-stage model

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A Novel Hybrid Method for Fault Diagnosis of Industrial Equipment Based on Vibration Signals

A Novel Hybrid Method for Fault Diagnosis of Industrial Equi...

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Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Sen Tao Kai Wang Peng Zeng Tianda Yu Hao Wu Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Shenyang China Nuclear Power Institute of China Chengdu China State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing China

Industrial equipment reliability is a critical issue that smart manufacturing systems must address. Implementation of online fault diagnosis for industrial equipment is a promising technology that can improve equipment reliability. Vibration analysis is a popular technique for equipment condition monitoring. For the non-linear and non-stationary features of industrial vibration signals, a hybrid model based on wavelet transform (WT), support vector machine (SVM), and grey wolf optimization algorithm (GWO) is proposed. The time-frequency domain features of fault signals are extracted by wavelet transform to solve the non-linearity of signals, and the obtained feature vectors are input into SVM for classification. Aiming at the problem of setting penalty coefficient and kernel function parameters, GWO is introduced to seek hyperparameters by using the hunting principle of wolves. In the experimental part, firstly, the comparison of the GWO-WT-SVM, GWO-SVM and SVM models was carried out. Secondly, Comparison with classical classification algorithms is made. Apparently, the GWO-WT-SVM model achieves higher accuracy than other models in bearing fault diagnosis.

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Kinematics Analysis of a Manipulator for the power Transmission Line Maintenance Robot

Kinematics Analysis of a Manipulator for the Power Transmiss...

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Chinese control Conference (CCC)

作者： Minghao Chen En Li Feng Zhang Rui Guo Zize Liang Yuwei Zhang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Shandong Luneng Intelligence Technology Co. Ltd. Jinan China The State Grid Shandong Electric Power Company Jinan China

With the remarkable development of the power grid, traditional manual maintenance modes cannot meet the requirement of efficiency and reliability. Robotic technology is applied for power line maintenance to bring down risks and ensure inspectors' safety. Based on the power transmission line maintenance platform, a 5-DOF manipulator is designed to perform the maintenance tasks for the quad bundle conductors. Then the kinematics analysis of the manipulator is analyzed. The manipulator doesn't meet the Pieper criterion. So an improved adaptive particle swarm optimization (APSO) is proposed for figuring out the inverse kinematics. The weights of the pose and the constraint of the prismatic joint are introduced to the algorithm. What's more, half of the particles are initialized around the incipient value of joints and half of the particles are randomly initialized with the constraint of joints in this algorithm. Results show that the manipulator is able to work in the environment of quad bundle conductors and the proposed algorithm can improve the precision of inverse kinematics and prevent the leap of joints.

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Optimal Sizing and Pricing of Renewable power to Ammonia systems Considering the Limited Flexibility of Ammonia Synthesis

arXiv

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arXiv 2022年

作者： Yu, Zhipeng Lin, Jin Liu, Feng Li, Jiarong Zhao, Yuxuan Song, Yonghua Song, Yanhua Zhang, XinZhen The State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Sichuan Energy Internet Reasearch Institute Tsinghua University Chengdu610213 China The Department of Electrical and Computer Engineering University of Macau 999078 China The Department of Electrical Engineering Tsinghua University Beijing100087 China Shenzhen Edo Renewable Co. Ltd Shenzhen518067 China

Converting renewable energy into ammonia has been recognized as a promising way to realize "green hydrogen substitution" in the chemical industry. However, renewable power to ammonia (RePtA) requires an essential investment in facilities to provide a buffer against the strong volatility of renewable energy and the limited flexibility of ammonia synthesis, which involves the three main stakeholders, namely, power, hydrogen, and ammonia. Therefore, the sizing and pricing of RePtA play a core role in balancing the interest demands of investors. This paper proposes an optimal sizing and pricing method for RePtA system planning. First, power to ammonia (P2A) is modeled as a flexible load, especially considering the limited flexibility of ammonia synthesis, which has been verified using real dynamic regulation data. Second, the multi-investor economic (MIE) model is established considering both external and internal trading modes. Then, a two-stage decomposed sizing and pricing method is proposed to solve the problem caused by the strong coupling of planning, operation, and trading, and information gap decision theory (IGDT) method is utilized to handle the uncertainty of renewable generation. Finally, real data from a real-life system in Inner Mongolia are utilized to verify the proposed approach. The results show that the system proposed has a yield of 8.15%. Copyright © 2022, The Authors. All rights reserved.

关键词： Costs

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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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