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arXiv 2023年

作者： Qiu, Yiwei Zhou, Buxiang Zang, Tianlei Zhou, Yi Chen, Shi Qi, Ruomei Li, Jiarong Lin, Jin College of Electrical Engineering Sichuan University Chengdu610065 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China

In the conversion toward a clear and sustainable energy system, the flexibility of power-to-hydrogen (P2H) production enables the admittance of volatile renewable energies on a utility scale and provides the connected electrical power system with ancillary services. To extend the load flexibility and thus improve the profitability of green hydrogen production, this paper presents an optimal production scheduling approach for utility-scale P2H plants composed of multiple alkaline electrolyzers. Unlike existing works, this work discards the conservative constant steady-state constraints and first leverages the dynamic thermal and hydrogen-to-oxygen (HTO) impurity crossover processes of electrolyzers. Doing this optimizes their effects on the loading range and energy conversion efficiency, therefore improving the load flexibility of P2H production. The proposed multiphysics-aware scheduling model is formulated as mixed-integer linear programming (MILP). It coordinates the electrolyzers’ operation state transitions and load allocation subject to comprehensive thermodynamic and mass transfer constraints. A decomposition-based solution method, SDM-GS-ALM, is followingly adopted to address the scalability issue for scheduling large-scale P2H plants composed of tens of electrolyzers. With an experiment-verified dynamic electrolyzer model, case studies up to 22 electrolyzers show that the proposed method remarkably improves the hydrogen output and profit of P2H production powered by either solar or wind energy compared to the existing scheduling approach. Copyright © 2023, The Authors. All rights reserved.

关键词： Profitability

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Improved Comprehensive Inertial control for ESS Participating Primary Frequency Regulation Based on Fuzzy control 5

Improved Comprehensive Inertial Control for ESS Participatin...

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5th IEEE International electrical and Energy Conference, CIEEC 2022

作者： Xiang, Yongjian Xu, Yunhui Zhou, Tao Dai, Zhongjian Ren, Bixing Zhang, Lei Nanjing University of Science and Technology School of Automation Nanjing China State Grid Lishui Power Supply Company Substation Operation Inspection Center Lishui China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Changzhou Power Supply Company Operation and Maintenance Department Changzhou China Jiangsu Electric Power Test Research Institute Co. Ltd. Nanjing China China Classification Society Product Plan Approval Center Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

ESS (energy storage system) has many advantages such as flexible control, large throughput capacity and fast response speed and can provide strong support for system frequency stability with larger-scale renewable energy. In order to enhance the frequency regulation effect of ESS, this paper proposes an improved comprehensive inertia control strategy based on FC (fuzzy control). The conventional droop control is replaced by fuzzy control to improve the regulation performance and adaptivity of the whole process. SOC (state of charge) is adopted as the input of FC to consider the secure and stable constraints of ESS. In addition, FC is also applied to adjust the virtual inertia coefficients online. The proposed strategy combines the advantages of comprehensive inertial control and adaptive control and improve the frequency supporting ability of ESS under different operation conditions. Finally, simulations are conducted to demonstrate the feasibility of the proposed method. © 2022 IEEE.

关键词： Fuzzy control

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Research on Transforming Effect and Calculation Method of MMC Converter on AC / DC Harmonics

Research on Transforming Effect and Calculation Method of MM...

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2021 IEEE Sustainable power and Energy Conference, iSPEC 2021

作者： Cui, Liu Peng, Guangqiang He, Jingsong Wu, Jiyang Mao, Chizu Jiao, Ning Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc GuangZhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System GuangZhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid GuangZhou China Maintenance Test Center Ehv Power Transmission Company Guangzhou China Csg Key Laboratory for Dc Transmission Equipment State Evaluation and Fault Diagnosis GuangZhou China Sichuan University College of Electrical Engineering and Information Technology Chengdu China

ISBN: (纸本)9781665414395

Modular multilevel converter (MMC) is currently the most concerned voltage source converter topology in the field of flexible direct current transmission (VSC-HVDC). Due to its non-linear characteristics, harmonic components will inevitably be generated in AC and DC systems, which may affect the operation of equipment and system, cause protection equipment to malfunction, and cause interference to neighboring communications. The MMC converter is a non-linear device, which can be considered as an amplifying modulator with voltage and current conversion functions. The AC and DC networks are coupled to each other through the MMC converter to generate dynamic harmonic interaction. In recent years, harmonic instability problems have appeared in many VSC-HVDC projects. Compared with other converter topologies, the transfer relationship of harmonics on the AC and DC sides of MMC converters has not been studied in depth. In this paper, by studying the AC/DC harmonic conversion characteristics of MMC converters, it reveals the conversion law of MMC converters between AC/DC harmonics;through theoretical derivation, the quantitative calculation method of MMC harmonic transmission process is given. PSCAD simulation results prove the correctness of the above results. © 2021 IEEE.

关键词： Transmissions

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AI-aided power electronic converters automatic online real-time efficiency optimization method

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Fundamental Research 2025年第3期5卷 1111-1116页

作者： Tang, Yuanhong Cao, Di Xiao, Jian Jiang, Chenying Huang, Qi Li, Yunwei Chen, Zhe Blaabjerg, Frede Hu, Weihao Power System Wide-area Measurement and Control Sichuan Provincial Key Laboratory School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu 611731 China MORNSUN Guangzhou Science & Technology Co. Ltd. Guangzhou 510663 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu 611731 China Yangtze Delta Region Institute (Quzhou) University of Electronic Science and Technology of China Quzhou 324000 China Department of Chengdu State Grid Corporation of China Chengdu 610599 China Southwest University of Science and Technology Mianyang 621010 China Department of Electrical and Computer Engineering University of Alberta Edmonton AB T6G 2V4 Canada Department of Energy Technology Aalborg University Aalborg 9220 Denmark

Energy losses during the conversion and supply of electric power are considered a significant issue and cannot be estimated. Improvement in the efficiency of energy conversion systems is highly restricted because of their internal nonlinearity and complexity. Thus, inspired by the successful utilization of robotic chemists, we demonstrate a pioneering concept of artificial intelligence (AI)-aided automatic online real-time optimization of a power electronics converter using a dual active bridge (DAB) converter as an example. An optimal modulation strategy was obtained through repeated automatic exploration experiments on a practical DAB converter platform. Specifically, the DAB experimental platform operated autonomously around the clock for approximately 71 h. It performed 120,000 consecutive experiments (12,000 episodes) within a six-variable experimental space driven by a deep deterministic policy gradient (DDPG) algorithm. The proposed AI-aided automatic online real-time optimization method achieved significantly improved efficiency of power conversion and supply. Consequently, zero carbon emissions may be obtained in the future. © 2023

关键词： Artificial intelligence Automatic online real-time exploration DC-DC converter Dual active bridge converter Energy conversion system power electronics

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Categorical Spatial Interpolation of Solar Irradiance for Regional Distributed Photovoltaic power Forecasting

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IEEE Transactions on Sustainable Energy 2025年

作者： Ruan, Chenglong Li, Kangping Li, Zhenghui Huang, Chunyi Wang, Fei Shanghai Jiao Tong University College of Smart Energy Shanghai200240 China Shanghai Jiao Tong University Shanghai Non-Carbon Energy Conversion and Utilization Institute Shanghai200240 China Ministry of Education Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Shanghai200240 China North China Electric Power University Department of Electrical Engineering Baoding071003 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China Hebei Key Laboratory of Distributed Energy Storage and Microgrid North China Electric Power University Baoding071003 China

High-spatial-resolution (HSR) solar irradiance forecast data is important for regional distributed photovoltaic (PV) power forecasting. Distributed PV sites are widely geographically distributed and the cost of obtaining HSR irradiance forecast data with full regional coverage is very high. Improving spatial resolution through interpolation based on limited sparse irradiance forecast reference points is a low-cost and feasible approach. However, existing irradiance spatial interpolation methods would produce large errors under variable weather conditions (e.g., cloudy) with limited reference points, because local abrupt changes in irradiance usually occur under such weather conditions due to cloud movement. This paper proposes a categorical spatial interpolation method to improve the accuracy of distributed PV power forecasting with limited sparse irradiance forecast data. The method first converts satellite-derived shortwave radiation images into binary irradiance maps through adaptive thresholding, then trains a 3D U-net model to predict future irradiance category probabilities for each grid. These probability maps dynamically govern two parallel interpolation processes: one using reference stations in predicted clear-sky regions, another utilizing stations in cloudy zones, with final irradiance values determined by probability-weighted fusion. Case studies on a real dataset verify the effectiveness and superiority of the proposed method. © 2025 IEEE.

关键词： Solar irradiance

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Variable Frequency Phase-Shift Modulation Technique for Single Stage Dual-Active-Bridge AC-DC Converter

Variable Frequency Phase-Shift Modulation Technique for Sing...

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International Conference on power Electronics (ICPE)

作者： Dongxin Guo Panbao Wang Chunguang Ren Josep M. Guerrero School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China Shanxi Key Lab. of Power System Operation and Control Taiyuan University of Technology Taiyuan China Department of Energy Technology Aalborg University Aalborg Denmark

This article proposes a variable frequency phase-shift modulation technique for single stage dual-active-bridge (DAB) AC-DC converter. This isolated single-stage single-phase converter consists of a DAB and a full bridge (FB) inverter. The proposed strategy applies a composite control strategy combining frequency modulation and extended phase shift (EPS) method to overcome the drawback of the non-linear power control of traditional phase-shift control scheme, which significantly reduces the complexity of the controller algorithm. Moreover, the synchronous inverter control applied to the back-end FB inverter is designed, which can realize the energy conversions in a single-stage, and a high frequency (HF) filter capacitor can replace the electrolytic capacitor at the output side DC-link. Thus, the safety of system operation improves and the power density of the system increases. Finally, simulation results confirm the validity and practical feasibility of the proposed control strategy.

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Fault current suppression for MMC-MTDC with the resistive type superconducting fault current limiter

Fault current suppression for MMC-MTDC with the resistive ty...

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2021 Annual Meeting of CSEE Study Committee of HVDC and power Electronics, HVDC 2021

作者： Liu, Guowei Guo, Peiqian Yuan, Zhichang Zhao, Yuming Shenzhen Power Supply Corporation Shenzhen China Department of Electrical Engineering State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

ISBN: (纸本)9781839537035

With effective properties, a resistive-type superconducting fault current limit (R-SFCL) has become an effective device to restrain DC-side bipolar short fault currents in multilevel modular converter multiterminal DC systems (MMC-MTDCs). However, due to the resistance-energy accumulation-dependent characteristics of the R-SFCL device, the fault durations and different fault current values will produce various output resistances at each fault stage, and the related coordinated protection and control strategy needs to be adjusted accordingly. Therefore, in the first part of this paper, we analysed the DC side short circuit current mechanism and the fault current restraint characteristics of R-SFCLs. Subsequently, to verify the above analysis, the R-SFCL-based four-terminal MMC-MTDC with DC bipolar short fault modelling and simulation are presented in the next section. Finally, based on the above analysis and research, the advanced DC bipolar fault control and protection strategies of the R-SFCL-based MMC-MTDC system are discussed to promote further study of coordinated and protection control and the application of R-SFCLs in subsequent engineering applications. © 2021 IET Conference Proceedings. All rights reserved.

关键词： Timing circuits

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Response-Driven Identification of Voltage Instability in AC/DC Hybrid Grid with New Energy

Response-Driven Identification of Voltage Instability in AC/...

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IEEE Asia power and Energy engineering Conference (APEEC)

作者： Zewen Ding Zhuan Zhou Qichao Chen Fei Wang Junyu Liu Chongyang Dang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan China State Grid Xinjiang Electric Power CO. Ltd. Urumgi China State Grid Economic and Technological Research Institute CO. Ltd. Beijing China

ISBN: (数字)9798331517540

ISBN: (纸本)9798331517557

With the large-scale integration of new energy and the extensive operation of high-voltage direct current (HVDC) transmission projects, a variety of new transient voltage instability scenarios have emerged in the AC/DC hybrid grid with a high proportion of new energy. Traditional pre-planned strategies, which rely on predefined response tables to address different instability scenarios, are increasingly inadequate to effectively handle all instability situations. In response to this issue, this paper proposes a voltage instability identification method suitable for the AC/DC hybrid grid with new energy. Firstly, the various voltage instability scenarios existing in the AC/DC hybrid grid with new energy and their mechanisms are analyzed. Then, according to the characteristics of different instability scenarios, key response feature is extracted, and a method for identifying voltage instability scenarios is proposed. Finally, the AC/DC hybrid grid with a high proportion of new energy is modelled in BP A, different instability scenarios are simulated, and the proposed voltage instability identification method is verified to be able to effectively identify different voltage instability scenarios through simulation.

关键词： electrical engineering HVDC transmission Asia Voltage High-voltage techniques Feature extraction Large scale integration Transient analysis

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Corrected Complex Torque Coefficient Method for Small-Signal Stability Analysis of Grid-Connected VSC 10

Corrected Complex Torque Coefficient Method for Small-Signal...

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10th Renewable power Generation Conference, RPG 2021

作者： Zhao, Boyuan Chen, Lei He, Tingyi Min, Yong Li, Shengnan Guo, Cheng State Key Laboratory of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China Yunnan Electric Power Research Institute Kunming650217 China

ISBN: (纸本)9781839536069

This paper focuses on the damping characteristics of sub-synchronous oscillations of phase locked loop (PLL) of grid-connected voltage source converter (VSC). A 6th order frequency domain model including the PLL, the inner current control loop and the grid dynamics is built. Compared to the model of synchronous generator, it is found that the classic complex torque coefficient method is not entirely suitable for PLL stability analysis. The method is corrected, and the concepts of corrected damping coefficient and corrected synchronizing coefficient are proposed. Based on the method, the impact of other control loops on the damping, such as current control loop (CC) and grid dynamics, can be quantitatively studied with the corrected damping torque superimposing to the PLL. The overall impact of each control loop on the damping can also be evaluated through this method. The method is validated through both eigenvalue analyses and time domain simulations. © The Institution of engineering and Technology.

关键词： Phase locked loops

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WIND SPEED PROBABILISTIC FORECASTING BASED ON THE CORRELATION BETWEEN WIND PATTERNS AND PREDICTION ERRORS 10

WIND SPEED PROBABILISTIC FORECASTING BASED ON THE CORRELATIO...

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10th Renewable power Generation Conference, RPG 2021

作者： Fan, Huijing Qiu, Gang Guo, Xiaolong Zhen, Zhao Wang, Fei Mi, Zengqiang Wang, Ge Department of Electrical Engineering North China Electric Power University Baoding071003 China Dispatch and Control Center State Grid Xinjiang Electric Power Co. Ltd Urumqi830018 China State Key Lab of Power System Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839536069

Although the current use of probabilistic prediction in power system is limited, some researches on wind power probabilistic forecast have appeared to promote the adoption of probabilistic forecasts. There are some problems, such as the width of prediction interval (PI) remains unchanged regardless of the fluctuation of wind speed. Therefore, this paper proposes a novel probabilistic forecast method based on the correlation between wind process fluctuation patterns and prediction errors, using a regularized extreme learning machine (RELM) approach. It is observed that the point prediction error corresponding to the large fluctuation wind process is usually larger than that of the gentle wind process. By clustering the wind processes into four categories to identify different fluctuation degrees, PIs are established for different categories respectively, and a probabilistic forecast result that the width of PIs changes with the fluctuation of wind speed curves is obtained. Through the comparison of the prediction interval width under the same confidence level, it is concluded that the model based on wind pattern recognition can improve the prediction reliability on the premise of ensuring the sharpness of the prediction results. © The Institution of engineering and Technology.

关键词： Wind power

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