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SSRN 2023年

作者： Li, Jiarong Yang, Bosen Lin, Jin Liu, Feng Qiu, Yiwei Xu, Yanhui Qi, Ruomei Song, Yonghua The Department of Electrical Engineering Tsinghua University Beijing100084 China College of Electrical Engineering Sichuan University Sichuan610065 China The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China The State Key Laboratory of Internet of Things for Smart City University of Macau Taipa999078 China

Large-scale power-to-hydrogen (P2H) stations with multi-stack configurations, are emerging as valuable flexible resources for the power grid. The energy management strategy (EMS) determines multi-stack operation statuses. Nonetheless, existing EMS focus on production without adequately addressing the implications for grid-side power factor (PF) and potential security concerns. This paper addresses this limitation by presenting a model that characterizes the PF of a multi-stack P2H system across varying operation statuses defined by current and temperature. Through this model, we highlight a clear trade-off between the PF constraint and production targets in multi-stack scheduling. Subsequently, we introduce an improved EMS for multi-stack P2H that seeks a balance between PF, production, and security. This EMS is organized as a two-layer execution structure to guarantee control accuracy and tractability, which includes a model-based robust multi-stack scheduling programming and a rule-based real-time increment correction algorithm in series. Case studies compare multi-stack scheduling strategies under the proposed EMS with the traditional production-oriented strategy. The effectiveness of the extended PF and security dimensions is verified to comprehensively improve the responsiveness to power instructions. Furthermore, we outline five representative cluster-level scheduling strategies aligned with different load scenarios, offering insights for practical industrial implementations. © 2023, The Authors. All rights reserved.

关键词： Energy management

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Configuration Strategy for Flexible Resources with Resilience Enhancement of the Distribution system against Typhoon Disaster

Configuration Strategy for Flexible Resources with Resilienc...

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2021 IEEE Sustainable power and Energy Conference, iSPEC 2021

作者： Yushan, Wang Feng, Zhang Ziqing, Zhou Xu, Wang Chuanwen, Jiang Shanghai Jiao Tong University Key Laboratory of Power Transmission and Power Conversion Control Department of Electrical Engineering Shanghai China State Grid Zhejiang Electric Power Research Institute Electricity Market Simulation Laboratory Zhejiang China

ISBN: (纸本)9781665414395

The typhoon disaster has severely challenged the reliability of a distribution system. Considering the impacts of typhoon's temporal and spatial evolution on the operation states of distribution lines, a stochastic optimization method based on scenario probability is proposed to conFigure the photovoltaic and energy storage devices considering resilience enhancement. Firstly, the distribution network is gridded geographically, with a spatiotemporal evolution directions and model of the typhoon disaster established based on the meteorological information. Considering one possible typhoon route scenario and its corresponding probability, the optimal configuration problem under such scenario is solved by minimizing the expected economic loss caused by the typhoon. Finally, a modified IEEE33-node distribution system with the historical photovoltaic power data from a certain area, is utilized to analyze the resilience enhancement of the distribution system. © 2021 IEEE.

关键词： Stochastic programming

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Hierarchical Dispatch Method for Integrated Heat and power systems Based on a Feasible Region of Boundary Variables

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CSEE Journal of power and Energy systems 2020年第3期6卷 543-553页

作者： Tuo Jiang Yong Min Weichun Ge Lei Chen Qun Chen Fei Xu Huanhuan Luo Guiping Zhou State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijing 100084China State Grid Liaoning Electric Power Supply Co.Ltd. Shenyang 110000China Department of Engineering Mechanics Tsinghua UniversityBeijing 100084China

Fully utilizing the flexibility provided by a district heating system(DHS)can promote wind power accommodation for an electric power system(EPS).However,for privacy or communication reasons,existing power and heat dispatch methods are not suitable for practical *** this paper,a general math formulation of the hierarchical dispatch method is proposed to coordinate EPS and DHS operators based on the feasible region of boundary variables(FRBV),and a method based on the simplicial approximation approach is proposed to obtain a conservative FRBV approximation of a DHS.A simulation based on a real 41-node DHS is constructed to determine the factors that may impact the boundaries of the FRBV,and then the performance of the simplicial approximation approach is displayed by visualizing the approximation process for the FRBV,and finally three dispatch methods are compared to show the advantages of the proposed hierarchical dispatch method.

关键词： District heating system feasible region hierarchical dispatch method integrated heat and power system simplicial approximation approach

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Optimal Multi-period Pricing and Operating of Hydrogen Refueling Stations Considering the Coupling of Transportation and power systems 5

Optimal Multi-period Pricing and Operating of Hydrogen Refue...

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5th IEEE Conference on Energy Internet and Energy system Integration, EI2 2021

作者： Bao, Zhiyuan Hu, Zechun Zhao, Dongyuan Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China Energy Internet Research Institute Tsinghua University Beijing China

ISBN: (纸本)9781665434256

This paper proposes a multi-period bi-level optimization method to find t he e quilibrium s tate a mong distribution power systems, transportation systems, and hydrogen refueling stations (HRSs). At the distribution power system side, a convexifled a lternating c urrent o ptimal p ower fl ow (ACOPF) is solved to get distribution locational marginal prices (DLMP) for each HRS. At the transportation system side, a mixed user equilibrium (UE) model is conducted to obtain fuel cell electric vehicles (FCEVs) hydrogen demands for each HRS. At the HRS side, water electrolysis hydrogen production can be decoupled with hydrogen consumption with the hydrogen storage tank. Thereby, an optimal multi-period pricing and operation optimization model of HRSs is proposed. We integrate the above three models into a bi-level optimization problem and propose an iterative algorithm to solve it. A 22-bus distribution system and a 24-node SiouxFalls traffic n etwork a re adopted for the case studies. Numerical results validate the effectiveness of proposed models and solution methods. © 2021 IEEE

关键词： Costs

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Advanced operation and control Schemes of Retired Batteries in DC Microgrid for Secondary Usage

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IEEE Transactions on Smart Grid 2025年

作者： Wang, Ning Jiang, Yongbin Wang, Yanbo Mou, Di Liu, Yonghui Hu, Weihao Chen, Zhe Aalborg University Department of Energy Technology Aalborg9220 Denmark Nanyang Technological University School of Electrical and Electronic Engineering Singapore639798 Singapore Chongqing University State Key Laboratory of Power Transmission Equipment System Security and New Technology School of Electrical Engineering Chongqing400044 China Xi'an Jiaotong University School of Electrical Engineering Xi'an710049 China University of Electronic Science and Technology of China School of Mechanical and Electrical Engineering Chengdu610056 China

The utilization of repurposed second-life batteries from electric vehicles in DC microgrids presents a sustainable and cost-effective solution. However, efficiently integrating these batteries within DC microgrids poses two main challenges: (1) poor consistency among retired battery packs;(2) fluctuations in the DC bus voltage. Traditional approaches primarily focus on achieving the state of charge (SOC) balancing within retired battery packs, often neglecting the suppression of voltage fluctuations, thereby compromising system stability. To address these challenges, this paper proposes a virtual DC machine (VDCM)-based control strategy that enhances both the power quality of the DC microgrid and the consistency of retired battery packs. On the one hand, reconfigurable topology and SOC balancing strategies are developed to manage the equalization current, achieving SOC balancing within the retired battery packs. On the other hand, a VDCM strategy is designed to leverage the capacity characteristics of retired batteries to increase the inertia of the DC microgrid. Compared to conventional methods, experimental results show that the proposed strategy not only maintains SOC balancing during both the charging and discharging phases but also significantly reduces overshoot and settle times of dc voltage to 64.2% and 55.6%, respectively. © 2010-2012 IEEE.

关键词： state of charge

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A Review of Structure Configuration, Integration, operation and key Technologies of Renewable Energy power to Hydrogen system

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Gaodianya Jishu/High Voltage engineering 2025年第5期51卷 2078-2095页

作者： Lin, Jin Cheng, Xiang Qiu, Yiwei Chi, Yingtian Song, Yonghua State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China Sichuan Energy Internet Research Institute Tsinghua University Chengdu610213 China College of Electrical Engineering Sichuan University Chengdu610065 China State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China

In the process of achieving the carbon neutrality goals, green hydrogen production from renewable energy will become a crucial driving force for deep decarbonization and green substitution across multiple industries. Leveraging renewable energy bases to develop large-scale hydrogen production and utilization systems has attracted widespread attention both domestically and internationally. However, existing studies on green hydrogen lack a comprehensive analysis of structure configuration methods, operational strategies, and key technologies for large-scale renewable energy power to hydrogen (ReP2H) systems. To address these issues, firstly, this paper systematically reviews the typical configurations of ReP2H systems and analyzes structure configuration methods suitable for large-scale ReP2H systems. Secondly, this paper reviews the current research status of integration systems and clarifies the development trends to meet the new demands of wide-range, rapid, and efficient operation of water electrolysis systems. Thirdly, in response to the policy associated with the grid integration of large-scale ReP2H systems, this paper summarizes the typical operation strategies of both grid-connected and off-grid systems. Finally, this paper explores key technologies essential to ensuring the safe, stable, and efficient operation of ReP2H systems. © 2025 Science Press. All rights reserved.

关键词： Electric power system interconnection

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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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Research On Medium And Long Term Unit Commitment Of Wind power Consumption Considering Carbon Reduction 5

Research On Medium And Long Term Unit Commitment Of Wind Pow...

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5th IEEE Conference on Energy Internet and Energy system Integration, EI2 2021

作者： Zhang, Xiaofeng Yin, Shuangrui Chen, Minyu Ai, Qian Chen, Yun JiayuWang Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Department of Electrical Engineering Shanghai Jiao Tong University Shanghai China State Grid Pudong Power Supply Company Shanghai China

ISBN: (纸本)9781665434256

In response to global climate change, carbon reduction is becoming increasingly important for the development of integrated energy system. Under such background, this paper proposes a medium and long-term unit commitment model considering carbon trading mechanism, carbon capture, and power to gas. Combined with various constraints of power generations including thermal power, gas turbine and hydropower, this model takes the minimum overall cost as its optimization objective. Finally, three scenarios are established to compare the overall cost, carbon trading cost and carbon emissions. The results show that the proposed method can achieve wind power full consumption and carbon reduction in medium and long term, coordinating economy and environmental protection at the same time. © 2021 IEEE

关键词： Wind power

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An Ensemble Method for Aggregated Baseline Load Estimation: From Probabilistic Perspective 5

An Ensemble Method for Aggregated Baseline Load Estimation: ...

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5th IEEE Conference on Energy Internet and Energy system Integration, EI2 2021

作者： Zhang, Yufan Ai, Qian Chen, Yun Wang, Jiayu Li, Zhaoyu Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Department of Electrical Engineering Shanghai Jiao Tong University Shanghai China State Grid Pudong Power Supply Company Shanghai China

ISBN: (纸本)9781665434256

Demand response (DR) is regarded as an alternative for new infrastructure to meet the peak load, which curbs the greenhouse gas emission. As an intermediary agent, DR aggregator (DRA) needs to comprehend aggregated baseline load (ABL) in the DR event. However, there are a few studies estimating ABL from an aggregator's perspective. Therefore, this work proposes a new ensemble method for probabilistic ABL estimation, which utilizes multiple clustering algorithms with varying cluster numbers to produce multiple customer divisions. And the combing weights for the ABL results, produced by the multiple customer divisions, are determined by linear programming problems. We demonstrate the proposed method using real world dataset, Low Carbon London trail. For probabilistic estimation, it has good performance with high credit. We show that no single individual method can achieve good performance all the time. Ensemble method is a better choice to obtain relatively stable and good results. © 2021 IEEE

关键词： Clustering algorithms

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Dynamic Security Assessment Method of power system Based on Improved XGBoost 3

Dynamic Security Assessment Method of Power System Based on ...

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2020 3rd International Conference on Mechanical, electrical and Material Application, MEMA 2020

作者： Ren, Jihong Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Jilin132012 China Department of Electrical Engineering Northeast Electric Power University Jilin Jilin132012 China

With the deployment of wide-area measurement systems (WAMS) equipment, dynamic security assessment (DSA) based on artificial intelligence (AI) has more and more advantages. For the power system, the number of transient stable cases is much larger than that of unstable cases, which leads to insufficient learning of unstable cases and affects the evaluation effect of the model. In addition, during the stability assessment process of the power system, the misjudgment cost of unstable case is much higher than that of stable case. Based on the above two points, we proposed a DSA method of power system based on improved XGBoost. The proposed method introduces the weight adjustment factor into the loss function to balance the quantity variance of two type cases and the difference of misjudgment cost, which greatly reduces the misjudgment rate of unstable samples. The test results on IEEE 16-machine 68-bus test system and IEEE 50-machine 145-bus test system show that the proposed method can have higher recognition of the unstable samples and can be applied to DSA. © Published under licence by IOP Publishing Ltd.

关键词： system stability

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