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Annual Report Conference on Electrical Insulation and Dielectric Phenomena

作者： Y.X. Zhou Y.C. Sha X.X. Jiang Q.H. Sun Y.S. Wang J.H. Tian State Key Lab of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Tsinghua University Haidian District Beijing China

ISBN: (纸本)9781457709852

As an important equipment, convertor transformer plays a crucial role in ultra high voltage direct current (UHVDC). How to improve the safety running level of convertor transformers is a key problem to be solved imminently. Compared with AC power transformers, the valve side windings of convertor transformers will endure combined AC-DC voltage. In these conditions, the gas generation characteristics in oil for convertor transformers will be more complicated. In this paper, according to the operational principle of convertor transformers, the ratios between AC and DC voltage on valve side windings in the star connection and triangular connection were 77.1% and 83.7% respectively. Based on the above results, 65 kV peak voltages in 5 different AC and DC voltage forms were applied to the needle-plate electrode model for 2 hours. The discharge current and voltage waveforms were recorded and the arc current pulses had a short lasting time about 1.2 ms. Then the mean discharge energy was calculated at 0.1 to 0.3 J. At the same time, the gas generation characteristics under combined AC-DC voltage were obtained by using the gas chromatographic analysis method. The variations of amounts and generation rates of characteristic gases were measured with time during 2 hours, which provided fault judgment criterions and experimental experience. The experimental results showed that the amounts and generation rates of H2, C2H2 and total hydrocarbon under the pure DC voltage or combined AC-DC voltage were more than those under the pure AC voltage. It might illustrate the fact that effects of different voltage forms would lead to different gas generation characteristics could not be ignored.

关键词： Combined AC-DC voltage Needle-plate electrode model Gas generation Characteristics

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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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Fast and Safe Heating-Up control of a Planar Solid Oxide Cell Stack: A Three-Dimensional Model-in-The-Loop Study

SSRN

引用

SSRN 2022年

作者： Chi, Yingtian Li, Peiyang Lin, Jin Mu, Shujun Song, Yonghua State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Tsinghua-Sichuan Energy Internet Research Institute Chengdu610213 China National Institute of Clean-and-Low-Carbon Energy Changping District Beijing102211 China State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China

A fast heating-up rate generally conflicts with the temperature homogeneity of solid oxide cell (SOC) stacks. This study designs an adaptive model predictive controller (MPC) to regulate the heating-up process of SOC stacks. The controller solves an optimization problem in real time to obtain optimal control that shortens the heating-up time by fully using the safety limit. The controller is verified with a three-dimensional (3D) hotbox-stack model calibrated with experiments. 3D model-in-the-loop (MiL) simulations show that the controller is effective under two heating modes despite of model deviations. Under the electrical heating mode, the controller achieves a 33% acceleration compared with a reference control strategy. Comparisons of electrical and gas heating reveal that the former is 63% faster but the latter consumes 41.6% less energy if the waste heat is fully recovered. The hotbox heat capacity is a major limiting factor for the heating-up process, particularly under the gas heating mode. An 80% reduction in the hotbox heat capacity, which can be achieved by reducing the thickness of the insulation layer, improves the heating-up time and the net energy consumption by 69% and 65% under the gas heating mode, respectively. © 2022, The Authors. All rights reserved.

关键词： Model predictive control

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Multi-Stage Expansion Planning for Decarbonizing Thermal generation Supported Renewable power systems Using Hydrogen and Ammonia Storage

arXiv

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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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Research of protection communication system in process level of intelligent substation

Research of protection communication system in process level...

引用

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

作者： Fei Xu Bin Wang Xinzhou Dong Runbin Cao Kun Liu Yuelin Yang Tingting Wu State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China College of information and electrical engineering China Agricultural University college of information and electrical engineering China Agricultural University School of Electrical Engineering & Renewable Energy China Three Gorges University Yichang China

The paper mainly focuses on the communication problem based on IEC61850 communication protocol. As in the process level communication system: MU (Merging Unit)-Switch-DIPC (Digital Integrated Protection and control system), the stability of SMV packets transmission is very important. The transmission delay of the process level communication is the key problem that may restrict the protection algorithm and capability. In the meantime, GPS synchronization problem of MUs, protection capability of the integrated protection device and stability of SMV message transmission based on the existing DIPC(DIP-01) system will also be discussed in the paper. Through the experiment and analysis, the paper gives out the key factors that lead to the message transmission delay and packets loss. The work at last gives out some primary ideas to improve the protection capability.

关键词： Random access memory Switches Synchronization Optical fiber devices Delay

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Designation and development of hardware platform for intelligent ter-minal in 126kV Smart substation

Designation and development of hardware platform for intelli...

引用

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

作者： Tong Sun Bin Wang XinZhou Dong ShuJian Zhang MingCai Kang RunBin Cao School of Automation Nanjing University of Science and Technology Jiangsu 210094 China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China Electrical engineering and automation Hefei University of Technology Anhui 230009 China

According to the demand of 126kV intelligent switch with intelligent operative box, an intelligent terminal device by using cooperation control of embedded CPU (STM32F103ZET6 ARM) and Field Programmable Gates (Cyclone II EP2C8Q208C8 FPGA), which is up to the IEC61850 standard, is designed in this paper. Research program of the device is discussed. Starting from the modularization structure design, function of each module, circuit design and implementation method were introduced in detail. A hardware platform was established according to the design. Finally, the article confirmed the correctness of the hardware platform primarily through experimental method.

关键词： Optical fiber LAN Voltage measurement Measurement units Optical fibers Switchgear Field programmable gate arrays Sun

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Ancillary service for frequency regulation based on multi-energy virtual power plant aggregating factory load

Ancillary service for frequency regulation based on multi-en...

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The 11th IET International Conference on Advances in power System control, Operation and Management (APSCOM 2018)

作者： Jiazhen Wang Xinwei Shen Yinliang Xu Qinglai Guo Hongbin Sun Yanbo Chen Shenzhen Environmental Science and New Energy Technology Engineering Laboratory Tsinghua-Berkeley Shenzhen Insitute Tsinghua University Shenzhen China State Key Lab of Control and Simulation of Power System and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University

ISBN: (数字)9781839530043

With the increasing proportion of renewable energy generation into the power grid, more challenges are coming to the safe and stable operation of the power system. In order to keep the balance in energy market, system operator has to purchase much service in ancillary service market to guarantee the stable operation of the power transmission. Virtual power plant (VPP) has been extensively studied as a concept that aggregates multiple resource forms to serve the electricity market. Meanwhile, with the development of Energy Internet (EI) Error! Reference source not found., more attention has been focused on the optimization and operation of Integrated Energy System (IES), therefore, the introduction and exploration of Multi-energy Virtual power Plant (MVPP) provide possibilities for IES to participate in the Electricity Market and Ancillary Services Market. This paper extracts the flexible electric and heat load in the industrial production process, combining the CHP units and Electric Boiler (EB), which are main heat energy supply devices as well as Energy Storage System (ESS) as a MVPP to provide Frequency Regulation (FR) service to the Auxiliary Service Market. Model Predictive control (MPC) method is applied to control the industrial load, the operation of CHP, EB and ESS are gonging to follow the AGC signal issued by the FR market effectively while avoiding impacts on the production process of the factory. Finally, case study validates the effectiveness of the model.

关键词：

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A Review on Virtual power Plants Interactive Resource Characteristics and Scheduling Optimization

A Review on Virtual Power Plants Interactive Resource Charac...

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

作者： Lin Cheng Xuyan Zhou Qiuchen Yun Liting Tian Xuanyuan Wang Zhen Liu State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Beijing China Center of Electrical Laboratories and National Teching Center of Electrotechnics and Electronics Beijing Jiaotong University Beijing China Jibei Electric Power Company Power Exchange Center State Grid Jibei Electric Power Company Beijing China North China Electric Power Research Institute State Grid Jibei Electric Power Company Beijing China

ISBN: (数字)9781728131375

ISBN: (纸本)9781728131382

With a high penetration of distributed energy resources (DER) connected to the power grid, the reliability and safety of the power grid compromised by the uncertainty of energy output. Many utilities adopted strategies to abandon excessive wind and solar energy generation to ensure reliable operations of the power grid. The virtual power plant (VPP) is a way of aggregating various types of energy resources and optimizing resources utilization. It participates in the electricity market and improves the utilization of energy resources within the VPP. VPP provides services such as peak shaving, frequency regulation, and emergency power support for the power grid. It intends to prevent the negative impact caused by the uncertainty of power generation of the distributed energy resources. In this paper, three kinds of typical VPP interactive resource are introduced, which differ in characteristics, control modes, and output characteristics. In addition, the VPP achieves improved energy efficiency through rational optimized resource allocation and optimized scheduling, including internal and external scheduling optimization.

关键词： Uncertainty power grids Energy storage Load management Wind power generation

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