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2022 tsinghua-IET Electrical Engineering Academic Forum, TDF 2022

作者： He, Yiliu Zhong, Haiwang Zhang, Guanglun Ruan, Guangchun Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Beijing China

ISBN: (数字)9781839537998

ISBN: (纸本)9781839537998

Heating, ventilation and air conditioning (HVAC) loads have great potential for demand response due to the buildings' thermal inertia. Modelling the complex thermal dynamics of realistic buildings is essential for the building energy optimization. In this paper, Deep Q-Network (DQN), a reinforcement learning (RL) algorithm, is used to decide the indoor temperature setpoint in response to the real-time price. The agent can adjust the HVAC load to reduce the electricity cost while considering the occupants' comfort requirement. To significantly accelerate the training process, imitation learning is adopted to pre-train the RL agent using historical data. The results of the case study show that the agent's performance improves steadily and exceeds the benchmark after a short period of training. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Reinforcement learning

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A Novel Modeling Method for power Flow Calculation of Integrated Enegy Network 13

A Novel Modeling Method for Power Flow Calculation of Integr...

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2022 IEEE International Conference on power systems Technology, powerCON 2022

作者： Tian, Liting Zhou, Xuyan Lin, Cheng Yin, Zheng Lin, Ende Equipment Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Beijing China Institute of Science and Technology China Three Gorges Corporation State Key Laboratory of Control and Simulation of Power Systems Beijing China

ISBN: (数字)9781665417754

ISBN: (纸本)9781665417754

Multi-energy systems may contain integrated energy networks such as electrical, gas and heating networks. The differences in the physical characteristics of each energy network make it difficult to solve power flows of the integrated energy networks. Based on the concept of energy flow, this paper realizes the unified modeling of electrical, gas and heating network to describe the stable equilibrium relationship. The basic equations for energy flow calculation contains Kirchhoff's Current Law equations, Kirchhoff's Voltage Law equations, and energy flow efficiency equations. A weighted directed graph is used to model the total system with networks and energy hubs. The proposed model is used for the joint power flow solution of the multi-energy system with Newton-Raphson algorithm. Finally, the validity and accuracy of the model are verified in a test system. © 2022 IEEE.

关键词： Newton-Raphson method

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A Stochastic Resource Management Scheme for Multi-Energy Group control System 3

A Stochastic Resource Management Scheme for Multi-Energy Gro...

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3rd IEEE International Conference on power, Electronics and Computer Applications, ICPECA 2023

作者： Ding, Ran Sun, Rongfu Geng, Yan Yao, Yiming Zhao, Ergang Xu, Lina State Grid Jibei Electric Power Company Limited Beijing China Tsinghua University State Key Lab. of Control and Simulation of Power System and Generation Equipment Dept. of Electrical Engineering Beijing China

ISBN: (纸本)9781665472784

The interaction between various energy supply systems (cold, heat, electricity, gas, etc.) is becoming more tightly coupled as social economy and technology advance. Multi-energy systems are ineffective because different types of energy systems run independently. In order to protect the data privacy of each sub-system, this research suggests an ideal resource management framework for a multi-energy group control system. The energy hub (EH) paradigm is first suggested. When deploying EHs, the physical constraints of various energy systems are taken into account. Through scenario-based stochastic programming, the uncertainties of renewable energy are considered. According to the leader-follower relationship between multi-energy group control system operators and energy hub operators (EHOs), Benders decomposition is applied to decentralize the decision-making process. Finally, an example is given to illustrate the effectiveness of the proposed model and algorithm. © 2023 IEEE.

关键词： Data privacy

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Risk Assessment with Generic Energy Storage under Exogenous and Endogenous Uncertainty

Risk Assessment with Generic Energy Storage under Exogenous ...

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2022 IEEE power and Energy Society General Meeting, PESGM 2022

作者： Qi, Ning Cheng, Lin Wan, Yuxiang Zhuang, Yingrui Liu, Zeyu State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China Tianjin University China

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408233

Current risk assessment ignores the stochastic nature of energy storage availability itself and thus lead to potential risk during operation. This paper proposes the redefinition of generic energy storage (GES) that is allowed to offer probabilistic reserve. A data-driven unified model with exogenous and endogenous uncertainty (EXU & EDU) description is presented for four typical types of GES. Moreover, risk indices are proposed to assess the impact of overlooking (EXU & EDU) of GES. Comparative results between EXU & EDU are illustrated in distribution system with day-ahead chance-constrained optimization (CCO) and more severe risks are observed for the latter, which indicate that system operator (SO) should adopt novel strategies for EDU uncertainty. © 2022 IEEE.

关键词： Risk assessment

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Improvement of the Electrical Properties of Silicone Rubber Doped with Nano-zirconia Grafted by Voltage Stabilizer 4

Improvement of the Electrical Properties of Silicone Rubber ...

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4th IEEE International Conference on Electrical Materials and power equipment, ICEMPE 2023

作者： Zhu, Xiaoqian Zhou, Yuanxiang Zhang, Yunxiao Chen, Ming Liu, Xuanhao Tsinghua University State Key Lab of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Beijing China Fuzhou University College of Electrical Engineering and Automation Fuzhou China Xiamen Power Supply Company State Grid Fujian Electric Power Company Xiamen China Xinjiang University The Wind Solar Storage Division State Key Laboratory of Control and Simulation of Power System and Generation Equipment School of Electrical Engineering Urumqi China

ISBN: (纸本)9798350334678

Enhancing the electrical performance of silicone rubber (SiR) for cable accessories is noteworthy as they are almost the weakest parts of the cable system. Two types of voltage stabilizers were grafted onto the surface of nano-zirconia (ZrO2) particles, and the grafted nanoparticles were added to the SiR. Measurements such as breakdown strength, and conductivity were carried out to evaluate the electrical performance of SiR nanocomposites. The electrical performance measurement results indicated that the breakdown strength of the nanocomposite SiR improved while the conductance current was reduced. The trap distribution showed that the improvement of the electrical performance of the nanocomposite SiR is mainly due to the decrease of the shallow trap density or the increase of the deep trap density. © 2023 IEEE.

关键词： Nanoparticles

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Effect of Positive Temperature Coefficient Materials on the AC Breakdown Strength and Dielectric Properties of Epoxy Composites 4th

Effect of Positive Temperature Coefficient Materials on the ...

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4th International Symposium on Insulation and Discharge Computation for power equipment, IDCOMPU 2023

作者： Teng, Chenyuan Li, Shuo Zhou, Yuanxiang Zhang, Ling Zhang, Yunxiao Huang, Meng College of Information Engineering Zhejiang University of Technology Hangzhou310023 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing102206 China

ISBN: (纸本)9789819974122

In operation, the negative temperature coefficient (NTC) electrical resistivity characteristics of polymeric insulating materials causes DC electric field distortion within power equipment insulation and lead to the failure. The doping of positive temperature coefficient (PTC) ceramic particles can suppress the NTC characteristics of the composites, but the electrical properties under AC voltages are unrevealed. In this paper, epoxy composites (0–20 wt%) doped with polydopamine-coated PTC particles were prepared, whose AC breakdown strength and dielectric properties were tested. The results shows that the decrease of AC dielectric strength is smaller than that under DC voltages after the doping PTC particles, and the coating of polydopamine can enhance the AC dielectric strength. As the doping content increases, the dielectric constant and tanδ of the epoxy composites increases, and the maximum increase of dielectric loss power is about 2% of the loss power caused by the current-carrying conductor. The research provides a theoretical basis for the optimization of the insulating performance of the equipment under the AC-DC composite voltages. © Beijing Paike Culture Commu. Co., Ltd 2024.

关键词： Epoxy resins

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Semi-empirical equivalent circuit model and evaluation of energy losses for alkaline electrolysis stack in dynamic operations

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International Journal of Hydrogen Energy 2025年 138卷 859-873页

作者： Sha, LianDong Lin, Jin Qi, Ruomei Li, Qinghui Li, Wenying Lin, Ruixiao Gao, Danhui Li, Hang Li, Xiaolong Yang, Chenxi Song, Yonghua State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China Tsinghua-Sichuan Energy Internet Research Institute Chengdu610213 China School of Chemistry and Chemical Engineering Southwest Petroleum University Chengdu610213 China School of Nuclear Science and Engineering North China Electric Power University Beijing100084 China State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China

In various applications of alkaline water electrolysis (AWE) for hydrogen production, the efficiency of AWE stacks is a critical concern. Emerging applications involve significant dynamic operations, necessitating the evaluation of their impact on stack efficiency. However, a quantitative understanding of the power losses within AWE stacks under dynamic conditions remains limited. A significant research challenge exists in the development of models for AWE stacks that can accommodate dynamic operating conditions, and there is a need for a systematic approach to classify and quantify energy losses within the stack. This paper presents a quantitative assessment method for losses in AWE stacks based on a semi-empirical equivalent circuit model (SECM). The losses within the AWE stack are categorized into four types based on their generation mechanisms: overpotential losses, shunt current losses, non-Faradaic losses, and electrochemical cycling losses (cycling losses for short). Using experimental data from 5 MW and 10 kW AWE stacks, the parameters of the SECM observer are identified through a stepwise data-driven approach, resulting in a mean square error of less than 46.4 mV for 5 MW stack and 80.9 mV for 10 kW stack. The constructed SECM observer is employed to simulate the proportion of various losses under different dynamic operating conditions. This paper focuses on the efficiency and loss behaviors of AWE stacks under multi-stack switching strategies. Case studies demonstrate that the current range, ramp rate, regulation period, and duty cycle significantly influence the four types of losses. Based on the SECM observer, recommended parameters for multi-stack switching are provided. This work contributes to accurate assessment of AWE stack efficiency under dynamic operations and provides a methodology for designing AWE stack operating strategies. © 2025 Hydrogen Energy Publications LLC

关键词： Alkaline water electrolysis stack Dynamic operation Efficiency Electrochemical cycling losses Equivalent circuit model Multi-stack switching strategies

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Modelling and harmonic analysis of metro traction power supply system 18

Modelling and harmonic analysis of metro traction power supp...

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18th International Conference on AC and DC power Transmission, ACDC 2022

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

ISBN: (数字)9781839537615

ISBN: (纸本)9781839537615

The large number of nonlinear loads used in urban metro rail traction grids distorts the voltage and current on the load side, then generates harmonics. The resulting capacitive characteristic harmonics current component provides feedback to the power grid, thus causing additional power losses and equipment damage. To solve this power quality problem, a detailed dynamic simulator of the metro traction power supply system is developed, which includes the corresponding 24-pulse rectifier and low-voltage power distribution system. Based on the established simulator, a study of the harmonic content and characteristics research of the 24-pulse rectifier and low-voltage electricity-consuming equipment are performed. In combination with the digital simulator, we presented and disused the lower-order frequency harmonic currents of the 35kV AC bus exhibiting capacitive characteristics. The results lay a technical foundation for harmonic equivalent impedance calculation and harmonic current suppression of the metro traction power supply system. © ACDC 2022. All rights reserved.

关键词： Simulators

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Analytical Representation of Data-driven Transient Stability Constraint and Its Application in Preventive control

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Journal of Modern power systems and Clean Energy 2022年第5期10卷 1085-1097页

作者： Yiwei Fu Xiaohua Zhang Lei Chen Zengyao Tian Kaiyuan Hou Haikuan Wang State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijing 100084China State Grid Jibei Electric Power Company Beijing 100053China Northeast China Branch of State Grid Corporation of China Shenyang 110180China

Accurate transient stability assessment(TSA) and effective preventive control are important for the stable operation of power systems. With the superiorities in precision and efficiency, data-driven methods are widely used in TSA nowadays. Data-driven TSA model can be adopted in the stability constraints of preventive control optimization, but existing methods are mostly iteration-based ones, which may result in low efficiency, sometimes even non-convergence. In this paper,an analytical representation method of data-driven transient stability constraint is proposed based on a non-parametric regression model built for TSA. key feature extraction and dominant sample selection are proposed to reduce the scale of the TSA model, and bi-level linearization is applied to further modify *** preventive control model is then formulated as a mixed-integer linear program(MILP) problem with the linearized analytical data-driven transient stability constraint, which can be solved without iterations. An overall procedure of datadriven TSA and preventive control is finally developed. Case studies show that the proposed method has high accuracy in TSA and can achieve effective preventive control of power system with high efficiency.

关键词： Data-driven critical clearing time transient stability constraint non-parametric regression optimal preventive control

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Research on operation and control of low voltage photovoltaic-energy storage DC building system 18

Research on operation and control of low voltage photovoltai...

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18th International Conference on AC and DC power Transmission, ACDC 2022

作者： Guo, Peiqian Yuan, Zhichang Han, Xuejiao Wu, Aijun Wang, Yuxuan Jiang, Zhilin State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China Energy Internet Research Institute Tsinghua University Beijing China

ISBN: (数字)9781839537615

ISBN: (纸本)9781839537615

The spread of the power electronics, both for control and power applications, in the realization of apparatuses the DC transformation in building distribution and utilization system. Currently, the research and discussion of the operation scheme and control strategy for low voltage photovoltaic-energy storage DC building system, LVPESDCBS, are relatively less. Focusing on these, in-depth research and analysis for control and operation scheme are conducted, and the related application possibility for different types LVPESDCBSs is discussed in this paper. At the start, the existing operational control strategies for the DC system are summarized. Following this, the centralized operational control scheme, which applies to the existing buildings that need to be renovated to DC type, and the decentralized operational control scheme for newly built DC buildings are studied respectively. Taking these conclusions into consideration, a ±375V LVPESDCBS digital model with various types of AC/DC power electronic devices is established in PSCAD/EMTDC. The proposed control strategy and operational scheme are verified through normal operation and single-pole operation of this LVPESDCBS. Finally, extended marketability requirement discussions of future DC building based on three perspectives: data drives, converter devices, and the application of DC technology are presented. © ACDC 2022. All rights reserved.

关键词： Digital storage

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