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Cellulose-Based Nanocomposite Insulation Material with Excellent Thermal Aging Resistance: KH550-hBN-Modified Cellulose Insulation Paper

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IEEE Transactions on Dielectrics and electrical Insulation 2025年

作者： Wang, Zuhao Peng, Xiao Chronis, Ioannis Wu, Yingrui Psomopoulos, Constantinos S. Tang, Chao Southwest University College of Engineering and Technology International R & D Center for New Technologies of Smart Grid and Equipment Chongqing400715 China Southwest University College of Engineering and Technology Chongqing400715 China Chongqing University State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing400044 China University of West Attica High Voltage and Energy Systems Research Lab Dept. of Electrical and Electronics Engineering EgaleoGR-122 44 Greece

As the global power industry evolves, transformer insulation systems face increasing challenges. The aging of cellulose insulation paper (cellulose-IP) at elevated temperatures significantly impacts its insulation properties and overall lifespan. To enhance the thermal aging resistance and industrial usability of cellulose-IP, this study employs nano-boron nitride (h-BN) along with three silane coupling agents - 3-ammonopropyltriethoxysilane (KH550), 3-glycidyloxypropyltrimethoxysilane (KH560), and 3-methacryloyloxypropyltrimethoxysilane (KH570) - to modified cellulose-IP. Upon evaluating the properties and simulation results of the modified cellulose-IP, KH550-hBN demonstrated superior properties and was selected for an accelerated thermal aging test lasting 60 days. The results indicated that KH550-hBN effectively mitigates the degradation of cellulose-IP. In the late aging stage, the mechanical properties of the modified cellulose-IP deteriorated more slowly than those of pure cellulose-IP. Additionally, thermal conductivity improved by 26.9%, while breakdown field strength increased by 12.1%. The introduction of KH550-hBN promotes the formation of a complete thermal conductivity network within the cellulose matrix, increases the number of intermolecular hydrogen bonds and introduces nano-barrier regions. These improvements enhance the interactions between the cellulose systems and effectively inhibit the generation and migration of polar derivatives during the aging process, resulting in a significant improvement in the longevity and stability of transformer internal insulation systems. © 1994-2012 IEEE.

关键词： Boron nitride

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Dynamic Test for DC Training Emulation system with Back-to-back MMC

Dynamic Test for DC Training Emulation System with Back-to-b...

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2019 IEEE Sustainable power and Energy Conference, iSPEC 2019

作者： Yang, Zaixin Xing, Lixin Yin, Baiqing Wang, Yunmin Wang, Yuqiang Gao, Chen Inner Mongolia Electric Power Science and Research Institute Enterprise Key Laboratory of Smart Grid Simulation of Electrical Power System Institute of Relay Protection Hohhot China

ISBN: (纸本)9781728149301

With the development of VSC-HVDC and engineering applications, establishing a modular multilevel converter (MMC) platform is extremely important for simulation research and training. In this study, a back-to-back MMC emulation system with a converter station level is developed. Dynamic tests are performed to verify the stability performance and the dynamic performance of the respective physical devices under asynchronous interconnection conditions. The results show that the system can perform automatic control for the sequence of blocking, uncontrolled charging, controlled charging, and unlocking operations. A remarkable power quality effect is obtained by using a controller for circulating current suppressing (CCS). Using a visual station operation interface, the dynamic index of the power step test is found to conform to the test standard, and the system exhibits stable operation. © 2019 IEEE.

关键词： simulation platform

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Feasibility analysis of single-end equivalent modeling to LCC-HVDC transimission system 4

Feasibility analysis of single-end equivalent modeling to LC...

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4th IEEE Conference on Energy Internet and Energy system Integration, EI2 2020

作者： Wang, Bin Li, Zhizhong Guo, Qi Liu, Zhijiang Li, Shuyong Cui, Liu Tsinghua University Dept. of Electrical Engineering Beijing China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China National Energy Power Grid Technology RD Centre Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781728196060

The commutation failures seriously threaten the safe operation of hybrid AC/DC grid. Considering that commutation failure occurs only on the inverter side, it is very important to study the voltage controlled current source model of LCC HVDC single terminal measurement information with high equivalent accuracy, which is very important for the practicality of real-time electromagnetic transient simulation of LCC HVDC dynamic phasor model. In order to this problem, this paper further discusses the single terminal equivalent model of LCC HVDC system which does not depend on the measurement information of DC sending end AC system, and explores the estimation method of single terminal fast transient response of complex AC/DC coupling faults induced by AC side fault of LCC HVDC inverter station and participation of DC control separation. The error distribution of single terminal equivalent calculation is quantitatively analyzed to lay a foundation for the follow-up protection and control technology research. © 2020 IEEE.

关键词： Electric inverters

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A Risk-Averse Just-In-Time Scheme for Learning-Based Operation of Microgrids with Coupled Electricity-Hydrogen-Ammonia under Uncertainties

arXiv

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arXiv 2024年

作者： Li, Longyan Ning, Chao Pan, Guangsheng Zhang, Leiqi Gu, Wei Zhao, Liang Du, Wenli Shahidehpour, Mohammad Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China School of Electrical Engineering Southeast University Nanjing210096 China Zhejiang Key Laboratory of Distributed Generations and Microgrid Technology State Grid Zhejiang Electric Power Research Institute Hangzhou310014 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology China Department of Electrical and Computer Engineering Illinois Institute of Technology ChicagoIL60616 United States

This paper proposes a Risk-Averse Just-In-Time (RAJIT) operation scheme for Ammonia-Hydrogen-based Micro-grids (AHMGs) to boost electricity-hydrogen-ammonia coupling under uncertainties. First, an off-grid AHMG model is developed, featuring a novel multi-mode ammonia synthesis process and a hydrogen-ammonia dual gas turbine with tunable feed-in ratios. Subsequently, a state-behavior mapping strategy linking hydrogen storage levels with the operation modes of ammonia synthesis is established to prevent cost-ineffective shutdowns. The proposed model substantially improves operational flexibility but results in a challenging nonlinear fractional program. Based upon this model, a data-driven RAJIT scheme is developed for the real-time rolling optimization of AHMGs. Unlike conventional one-size-fits-all schemes using one optimization method throughout, the data-driven RAJIT intelligently switches between cost-effective deterministic optimization and risk-averse online-learning distributionally robust optimization depending on actual risk profiles, thus capitalizing on the respective strengths of these two optimization methods. To facilitate the solution of the resulting nonlinear program, we develop an equivalent-reformulation-based solution methodology by leveraging a constraint-tightening technique. Numerical simulations demonstrate that the proposed scheme guarantees safety and yields an overall cost reduction up to 14.6% compared with several state-of-the-art methods. © 2024, CC BY.

关键词： Ammonia

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Fuzzy optimal scheduling of hydrogen-integrated energy systems with uncertainties of renewable generation considering hydrogen equipment under multiple conditions

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Applied Energy 2025年 393卷

作者： Song, Jianzhao Wang, Na Zhang, Zhong Wu, Hao Ding, Yi Pan, Qingze Pan, Xingzuo Shui, Siyuan Chen, Haipeng Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Department of Electrical Engineering Northeast Electric Power University Jilin132012 China Gansu Branch of Luneng New Energy Group Co. Ltd. Lanzhou730000 China Lanzhou Power Supply Company State Grid Gansu Electric Power Co. Ltd. Lanzhou730000 China TBEA Shenyang Transformer Group Co. Ltd. Shenyang110144 China Northeast Electric Power University Jilin132012 China

Developing hydrogen-integrated energy systems (HIES) represents a cutting-edge strategy for harnessing renewable energy (RE). However, the inherent unpredictability and variability of RE significantly increase the operational uncertainty of HIES, which leads to severe energy curtailment issues when HIES integrates large-scale RE, necessitating greater operational flexibility in the system. To address the challenges, this paper proposes a fuzzy optimal scheduling approach for HIES that considers the hydrogen equipment under multiple operating conditions. The analysis begins by examining the operational mechanisms of hydrogen equipment. Subsequently, a multi-conditions model is developed for electrolyzers, while a reserve model is established for hydrogen fuel cells. Furthermore, the fuzzy chance constraint (FCC) is employed to quantify the uncertainty of RE generation. An integrated demand response mechanism is implemented, incorporating human thermal comfort and building thermal inertia. Finally, a fuzzy optimization scheduling model for HIES is constructed to minimize the total operating costs. The crisp equivalent of FCC is derived to solve this model, thereby transforming the scheduling model based on fuzzy chance-constrained programming into a solvable mixed-integer programming model. The simulation results indicate that the proposed scheduling method can reduce the overall costs of the HIES by 17.98 % and increase the RE accommodation rate by 19.67 %, validating the effectiveness of the method in enhancing the operational flexibility of the HIES. In addition, this study achieves a balance between economic efficiency and reliability, offering a better economy, lower energy curtailment rates, and faster decision-making times compared to robust optimization, scenario analysis, and other common fuzzy optimization methods. © 2025

关键词： Risk perception

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Deep Sequence to Sequence Attention Network Approach for Short-Term Electricity Price Forecasting

SSRN

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SSRN 2022年

作者： Chen, Haipeng Wu, Huayue Chen, Jian Kan, Tianyang Miao, Sen Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Department of Electrical Engineering Northeast Electric Power University Jilin132012 China Chengde Power Supply Company State Grid Jibei Electric Power Co. Ltd. Chengde067000 China

With increasing renewable energy penetration and the extension of the power system scale, accurate electricity price prediction has long become a challenging task. The complexity of electricity market information, insufficient model training, and the lack of model generalization ability limit the prediction accuracy of the existing electricity price forecasting methods. This paper proposes a Sequence-to-Sequence Attention algorithm based on the Double Deep Q Network optimization method for short-term electricity price prediction. This algorithm first conducts the maximum information coefficient correlation analysis to select the input dataset for the prediction model of electricity price. Secondly, the Sequence-to-Sequence Attention model is proposed for point forecasting and probabilistic forecasting of short-term electricity prices. Finally, the hyperparameters of the model are optimized by the Double Deep Q Network method, which improves the prediction accuracy and the generalization ability of the prediction model of electricity price. simulations are carried out on Pennsylvania–New Jersey–Maryland market data and the New South Wales electricity market. The results show that the proposed method has superior performance than the existing prediction methods, which is appliable for the short-term electricity price prediction and provides a powerful decision-making basis for market participants and regulators. © 2022, The Authors. All rights reserved.

关键词： Forecasting

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Modeling and implementation of an ADC based grid-connected voltage source inverter for real-time simulation based on FPGA 32

Modeling and implementation of an ADC based grid-connected v...

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32nd European Modeling and simulation Symposium, EMSS 2020

作者： Zhang, Chunyu Wang, Shouxiang Zhou, Yanan Zu, Guoqiang Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin300072 China Tianjin Electric Power Company Tianjin300072 China Tianjin Electric Power Research Institute Tianjin300072 China

ISBN: (纸本)9788885741454

With the development of distributed generations, the related real-time simulation technology has drawn extensive attention. In the distributed generation units, the power electronics are critical parts. In order to better deal with challenges of the large number of power electronic devices connected to the distribution network, this paper presents an embedded real-time simulation model based on associated discrete circuit (ADC) for a three-phase voltage source inverter. This model can be implemented in a field-programmable gate array (FPGA). And the FPGA can reduce the computational burden of power electronics simulation, because of its powerful parallel computing performance. First of all, a grid-connected power electronic inverter with a three phase RL filter model is built based on the ADC modeling approach, which can enhance the small step simulation performance. Secondly, the phase-locked loop technology has been introduced into the system to track the information of the phase angle. Finally, a FPGA based voltage and current double loop control method is presented to ensure the stable operation. The circuit simulation results verify the effectiveness of the scheme. © 2020 The Authors.

关键词： Circuit simulation

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Fuzzy Control Based Virtual Synchronous Generator for Self-Adaptative Control in Hybrid Microgrid

SSRN

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SSRN 2022年

作者： Lyu, Ling Wang, Xuesong Zhang, Liang Zhang, Zhe Koh, Leong Hai Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Hebei Electric Power Company Cangzhou Power Supply Company Cangzhou061000 China School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore National Metrology Centre 138635 Singapore

When there is a large penetration of renewable energy sources, maintaining the stability of a low-inertia microgrid becomes a major difficulty. However, in such systems, the virtual inertia values are often fixed constants, and the choice of their values will significantly affect the frequency and voltage stability of the microgrid. Higher frequency and voltage oscillations may occur due to improper selection of fixed virtual inertia values. Therefore, virtual inertia-based control has attracted a lot of attention. In this paper, an adaptive virtual inertia control system using a fuzzy system is proposed through the setting of fuzzy logic rules and affiliation functions to provide adaptive inertia control for the system to ensure the stability of frequency and voltage. In the proposed adaptive control strategy, the virtual inertia values are automatically adjusted according to the signal deviation and rate of change of the actual system, avoiding the selection of inappropriate inertia values and providing fast inertial response. simulation and experimental results show that the proposed adaptive control algorithm, by combining the advantages of large inertia and small inertia, enables effective improvement of the dynamic response of the system voltage and frequency in both rectifier and inverter modes. The effectiveness of the proposed control strategy is verified. © 2022, The Authors. All rights reserved.

关键词： Fuzzy control

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Carbon-oriented Local Integrated Energy system Multi-energy Coupling Market Design

Carbon-oriented Local Integrated Energy System Multi-energy ...

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

作者： Jifeng Li Jinghua Li Xingtang He Hao Luo Dalian Electric Power Supply Company State Grid Liaoning Electric Power Supply Co. Ltd Dalian China Key Laboratory of the Ministry of Education on Smart Power Grids Tianjin University Tianjin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China

ISBN: (纸本)9781665434263

Under the background that countries all over the world constantly advocate energy conservation and emission reduction and seek to deepen the reform of power systems and introduce new energy trading policies, this study constructed a carbon-oriented local integrated energy system multi-energy coupling market architecture. This construct was aimed at problems that current multi-energy coupling market research has not considered, including multi-energy substitution characteristics and carbon emission factors. First, taking the local integrated energy system as the main physical architecture, a multi-energy coupling market architecture was constructed combining the main market participants of different energy subsystems. Second, a model of the subsystem markets in the energy coupling market, and the joint clearing method were proposed. Finally, the guiding role of the energy coupling market was analyzed by simulation for reasonable pricing and carbon emission reductions of different energy market operators.

关键词： Couplings Analytical models Costs Uncertainty Energy conservation Carbon dioxide Pricing

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Capacity Allocation of Energy Storage and Synchronous Condenser for Wind-photovoltaic-thermal-storage Combined Transmission system

Capacity Allocation of Energy Storage and Synchronous Conden...

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Sustainable power and Energy Conference (iSPEC)

作者： Zimin Zhu Zhen Liu Qingxi Duan Zhi Xu Bin Sun Hui Mei Xinjiang Electric Power System Whole Process Simulation Key Laboratory Electric Power Research Institute of State Grid Xinjiang Electric Power Co. Ltd. Urumqi China School of Electrical Engineering Southeast University Nanjing China

ISBN: (纸本)9781665414401

In order to solve the problems of the consumption of new energy, the coexistence of wind and solar abandonment and insufficient power supply support capacity, as well as the stability of the widespread power grid in northwest China, a method for capacity allocation of energy storage and synchronous condenser for wind-photovoltaic-thermal-storage combined transmission system is proposed. Firstly, based on the complementary characteristics of wind-photovoltaic-thermal-storage, a typical architecture of wind-photovoltaic-thermal-storage combined transmission system is established and analyzed. Secondly, by taking the system equivalent annual revenue consisting of system equivalent annual electricity sales revenue, units investment, operation and maintenance costs, system equivalent annual assessment costs and carbon emission costs, as the objective function, the capacity allocation optimization model of energy storage and synchronous condenser for wind-photovoltaic-thermal-storage combined transmission system is constructed. Finally, case study based on a power grid planning data of a certain area in northwest China in 2025 is carried out to verify that the allocation method can effectively increase system revenue, promote wind and photovoltaic consumption and maintain a stable system voltage.

关键词： Costs power supplies power transmission power system stability Linear programming power grids Stability analysis

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