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arXiv 2023年

作者： Yu, Zhipeng Lin, Jin Liu, Feng Li, Jiarong Chi, Yingtian Song, Yonghua Ren, Zhengwei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Sichuan Energy Internet Research Institute Tsinghua University Chengdu610213 China Department of Electrical and Computer Engineering University of Macau 999078 China Department of Electrical Engineering Tsinghua University Beijing100087 China

—Large-scale centralized development of wind and solar energy and peer-to-grid transmission of renewable energy source (RES) via high voltage direct current (HVDC) has been regarded as one of the most promising ways to achieve goals of peak carbon and carbon neutrality in China. Traditionally, large-scale thermal generation is needed to economically support the load demand of HVDC with a given profile, which in turn raises concerns about carbon emissions. To address the issues above, hydrogen energy storage system (HESS) and ammonia energy storage system (AESS) are introduced to gradually replace thermal generation, which is represented as a multi-stage expansion planning (MSEP) problem. Specifically, first, HESS and AESS are established in the MSEP model with carbon emission reduction constraints, and yearly data with hourly time resolution are utilized for each stage to well describe the intermittence of RES. Then, a combined Dantzig-Wolfe decomposition (DWD) and column generation (CG) solution approach is proposed to efficiently solve the large-scale MSEP model. Finally, a real-life system in China is studied. The results indicate that HESS and AESS have the potential to handle the intermittence of RES, as well as the monthly imbalance between RES and load demand. Especially under the goal of carbon neutrality, the contribution of HESS and AESS in reducing levelized cost of energy (LCOE) reaches 12.28% and 14.59%, respectively, which finally leads to a LCOE of 0.4324 RMB/kWh. Copyright © 2023, The Authors. All rights reserved.

关键词： Carbon

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Optimal Sizing of Isolated Renewable power systems with Ammonia Synthesis: Model and Solution Approach

arXiv

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arXiv 2023年

作者： Yu, Zhipeng Lin, Jin Liu, Feng Li, Jiarong Zhao, Yuxuan Song, Yonghua 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

Isolated renewable power to ammonia (IRePtA) has been recognized as a promising way to decarbonize the chemical industry. Optimal sizing of the renewable power system is significant to improve the techno-economic of IRePtA since the investment of power sources exceeds 80% of the total investment. However, multi-timescale electricity, hydrogen, and ammonia storages, minimum power supply for system safety, and the multiyear uncertainty of renewable generation lead to difficulties in planning. To address the issues above, an IGDT-MILFP model is proposed. First, the levelized cost of ammonia (LCOA) is directly formulated as the objective, rendering a mixed integer linear fractional programming (MILFP) problem. Information gap decision theory (IGDT) is utilized to handle the multiyear uncertainty of renewable generation. Second, a combined Charnes-Cooper (C&C) transformation and Branch-and-Bound (B&B) method is proposed to efficiently solve the large-scale IGDT-MILFP model, giving robust and opportunistic planning results. Then, Markov Chain Monte Carlo (MCMC) sampling-based posteriori analysis is leveraged to quantify the long-run performance. Finally, a real-life system in Inner Mongolia, China, is studied. The results indicate that the proposed methods could reduce the computational burden by orders of magnitude for solving a large-scale MILFP problem. Moreover, the proposed IGDT-MILFP model is necessary and accurate to obtain an optimal capacity allocation with the lowest expected LCOA (3610 RMB/t) in long-run simulations. Copyright © 2023, The Authors. All rights reserved.

关键词： Ammonia

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基于广域低功耗网络的能源物联网

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Engineering 2017年第4期 67-82页

作者：宋永华林今唐明董树锋 State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University College of Electrical Engineering Zhejiang University Center of Internet of Energy Things Tsinghua-Sichuan Energy Internet Institution

为了应对严峻的环境压力以及化石能源的枯竭危机,能源行业正在世界范围内共同推进能源互联网这一新型能源系统,目标以智能电网为骨架,综合电、气、热等多种能源形式,大幅提升能源系统对可再生能源的消纳能力。能源的需求侧是能源互联网... 详细信息

为了应对严峻的环境压力以及化石能源的枯竭危机,能源行业正在世界范围内共同推进能源互联网这一新型能源系统,目标以智能电网为骨架,综合电、气、热等多种能源形式,大幅提升能源系统对可再生能源的消纳能力。能源的需求侧是能源互联网的发展重点,也是新能源消纳灵活性的全新来源,具有巨大的技术发展潜力与市场空间。然而现有的能源信息技术并不能完全适应能源需求侧的运行特点,难以被高效经济地应用于能源互联网的需求侧管控之中,已成为当前能源需求侧技术发展的瓶颈。为了突破这一技术难点,本文提出利用通信领域近年来高速发展的广域低功耗网络(low power wide area network,LPWAN)技术,构造全新的能源物联网,从而为能源互联网需求侧的发展带来了全新的技术突破。LPWAN是一类具有远距离、低功耗、海量接入、低运维成本的通信技术的总称,与Wi-Fi、蓝牙、紫蜂(ZigBee)等局域物联网技术相比真正实现了大区域的低成本覆盖。本文介绍以窄带物联网(narrow band internet of things,NB-IoT)和运程(long range,LoRa)为代表的LPWAN技术,提出基于该技术实现的能源物联网体系架构。最后,本文展望了能源物联网技术驱动下,能源互联网需求侧的典型应用场景。

关键词：能源物联网广域低功耗网络 NB-IoT LoRa 需求侧

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Optimizing the Homogeneity and Efficiency of A Solid Oxide Electrolysis Cell Based on Multiphysics simulation and Data-Driven Surrogate Model

SSRN

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SSRN 2022年

作者： Chi, Yingtian Yokoo, Kentaro Nakajima, Hironori Ito, Kohei Lin, Jin 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 Hydrogen Energy Systems Graduate School of Engineering Kyushu University Fukuoka Japan Department of Mechanical Engineering Faculty of Engineering Kyushu University Fukuoka Japan Tsinghua-Sichuan Energy Internet Research Institute Chengdu610213 China State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China

Inhomogeneous current and temperature distributions are harmful to the durability of the solid oxide electrolysis cell (SOEC). Segmented SOEC experiments reveal that a high steam utilization, which is favorable for system efficiency, leads to local steam starvation and enhanced the inhomogeneity. It is necessary to consider inhomogeneity and efficiency jointly in optimization studies. Three-dimensional (3D) multiphysics models can simulate the inhomogeneity in a reliable manner, but they are unsuitable for optimization due to the high computational cost. This study proposes a method that combines segmented SOEC experiments, multiphysics simulation, and artificial intelligence to optimize the inhomogeneity and efficiency of SOEC. A 3D cell model is first built and verified by segmented SOEC experiments. Then, fast neural network surrogate models are built from the simulation data and integrated into a multi-objective optimization problem. Its solutions form a Pareto front reflecting the conflicting relationships among different objectives. It is found that the down-stream current is 60%-65% of the up-stream current when the steam utilization is 0.7. To increase the steam utilization to 0.8, the down-stream current further drops to 50%-60% of the up-stream current. The Pareto fronts enable system operators to achieve a balance between efficiency and inhomogeneity. © 2022, The Authors. All rights reserved.

关键词： Multiobjective optimization

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Optimizing the Homogeneity and Efficiency of an SOEC Based on Multiphysics simulation and Data-driven Surrogate Model

arXiv

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arXiv 2022年

Inhomogeneous current and temperature distributions are harmful to the durability of the solid oxide electrolysis cell (SOEC). Segmented SOEC experiments reveal that a high steam utilization, which is favorable for system efficiency, leads to local steam starvation and enhanced the inhomogeneity. It is necessary to consider inhomogeneity and efficiency jointly in optimization studies. Three-dimensional (3D) multiphysics models validated with experiments can simulate the inhomogeneity in a reliable manner, but they are unsuitable for optimization due to the high computational cost. This study proposes a method that combines segmented SOEC experiments, multiphysics simulation, and artificial intelligence to optimize the inhomogeneity and efficiency of SOEC jointly. A 3D cell model is first built and verified by segmented SOEC experiments. Then, fast neural network surrogate models are built from the simulation data and integrated into a multi-objective optimization problem. Its solutions form a Pareto front reflecting the conflicting relationships among different objectives. It is found that the down-stream current is 60%-65% of the up-stream current when the steam utilization is 0.7. To increase the steam utilization to 0.8, the down-stream current will further drop to 50%-60% of the up-stream current. The Pareto fronts enable system operators to achieve a balance between efficiency and inhomogeneity. Copyright © 2022, The Authors. All rights reserved.

关键词： Multiobjective optimization

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Implementation of non-communication protection of double circuit line systems based on integrated protection platform

Implementation of non-communication protection of double cir...

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International Conference on Advanced power System Automation and Protection (APAP)

作者： Xi Hu Xinzhou Dong Bin Wang Shenxing Shi Kun Liu Youyi Li State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China ABB (China) Research Ltd.Chaoyang District Beijing 100016 China

The implementation of non-communication protection of double circuit line systems based on two independent relays has disadvantages like information shareless,complex connection and lack of economic. This paper researched the implementation of non-communication protection of double circuit line systems based on one relay - the integrated protection platform. Hardware structure of the integrated protection platform is described, and software flow of non-communication protection of double circuit line systems which implemented on the integrated protection platform is also described. Large number of RTDS experiments proved that, according to various asymmetrical fault and symmetrical fault, this protection scheme has reliable and sensitive action performance. It is proved that the implement non-communication protection of double circuit line systems based on the intergrated protection platform is feasible.

关键词： Heating Impedance Wiring

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Effects of Ca Dopants on the Stability of Zno Varistors

SSRN

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SSRN 2022年

作者： Sun, Guanyue Zhao, Hongfeng Meng, Xiaoji Wang, Feng Dezhou University Shandong254300 China The Wind Solar Storage Division of State Key Laboratory of Control and Simulation of Power System and Generation Equipment School of Electrical Engineering Xinjiang University Urumqi830046 China Xidian Surge Arrester Co. Ltd. Shanxi Xi’an710200 China

This paper studies the aging characteristics of Ca-doped ZnO varistors when the accelerated AC aging chargeability is 0.9 (135°C/ 1000h). Ca-doped ZnO varistors not only there are good breakdown voltage and low leakage current, according to the current-voltage and capacitance-voltage characteristic curves of ZnO varistor before and after aging. After the aging, the breakdown voltage and leakage current change rate are small. The ZnO varistor doped with Ca can slow down the aging speed to a certain extent and has good stability under the AC electric field. © 2022, The Authors. All rights reserved.

关键词： Electric breakdown

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Autonomous Decentralized control of Distributed generation using Multi-Agent Reinforcement Learning

Autonomous Decentralized Control of Distributed Generation u...

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IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

作者： Jian Liul Weifeng Xul Zhijun Liul Guanhua Ful Yunpeng Jiang Jun Wang Hangzhou Power Supply Company of State Grid Zhejiang Electric Power Co. Ltd. Hangzhou China Wuxi Research Institute Of Applied Technologies Tsinghua University Dept. of Electrical Engineering State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China

ISBN: (纸本)9798350399677

With the large-scale integration of distributed generations (DGs), a centralized control approach is being challenged concerning communication efficiency, resiliency to communication failure, privacy, and scalability. An autonomous decentralized control for DGs in distribution networks is proposed to ensure privacy while also reducing the computational burden. Meanwhile,a multi-agent reinforcement learning method considering privacy protection constraints is developed to solve the autonomous decentralized control problem. The effectiveness of the proposed control method is verified by the numerical example of the modified 141-bus distribution system test_feeder.

关键词： Privacy Scalability Computational modeling Decentralized control Asia Reinforcement learning Distribution networks

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Novel active damping control scheme for a three-phase active rectifier with LCL-filter

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Diangong Jishu Xuebao/Transactions of China Electrotechnical Society 2008年第9期23卷 86-91页

作者： Huang, Yuqi Jiang, Xinjian Qiu, Arui State Key Lab. of Security Control and Simulation of Power Systems and Large Generation Equipments Tsinghua University Beijing 100084 China

A novel active damping control scheme is developed to eliminate stability problems arisen in the current control of a three-phase voltage source active rectifier (VSR) with LCL-filter. A converter side inductance voltage feedback loop is introduced in the traditional voltage oriented control to stabilize VSR. A simplified discrete model including the current control loop and LCL-filter is established with one sample delay, considering time delays induced by S/H (sampling and holding), processing and modulation. The amplification coefficient of the converter side inductance voltage feedback loop is tuned up to change the unstable poles of LCL-filter. Parameter estimate methods are used to remove unnecessary sensors. simulation and experiment of VSR with LCL-filter demonstrate the proposed active damping control scheme and the stability analyses.

关键词： Inductance

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Reliability Assessment of generation and Transmission systems Considering Multi-Form Access of "Source-Network-Load-Storage"

Reliability Assessment of Generation and Transmission System...

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Sustainable power and Energy Conference (iSPEC)

作者： Ning Qi Lin Cheng Yi Jiang Jinshan Luo Ke Sun Dan Wang Liang Cheng Quanquan Wang State Key Lab. of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China State Grid Economic and Technological Research Institute Co. Ltd. Beijing China State Grid Jiangsu Electric Power Co. LTD. State Grid Jiangsu Economic Research Institute Jiangsu China

ISBN: (纸本)9781728149318

Reliability assessment is the key to ensure the security of power system, however, the rapid development of “source-network-load-storage” cause enormous obstacle to the traditional reliability method. A improved method for reliability assessment of generation and transmission systems is proposed in this paper which lays importance on the coordinate operation and uncertainty of “source-network-load-storage”. Firstly, the reliability and operation model of “source-network-load-storage” is proposed to handle certain novel elements. Then the reliability assessment with operation simulation is proposed to make balance between generation and load under uncertainty. Finally, numerical analysis focusing on the different form and proportion of “source-network-load-storage” is tested in IEEE RTS-79 system so as to demonstrate the practicality and effectiveness of the improved method.

关键词： reliability assessment renewable energy energy storage operation simulation generation and transmission system reliability evaluation energy storage Renewable energy generation and Transmission Transmission systems power system security

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