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2022 2nd International Conference on Energy, Power and Advanced Thermodynamic Systems, EPATS 2022

作者： Xia, Lei Wu, Hai Hu, Guo Hu, Song Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China NARI Technology Development Co. Ltd. Jiangsu Nanjing211106 China

With the rapid development of the national economy, the system cabling rate continues to improve, the system capacitive current continues to increase, and the arc suppression coil grounding method is more and more widely used. Among them, the pre adjustable turn adjustable arc suppression coil accounts for the highest proportion. How to accurately, quickly and real-time measure and calculate the capacitive current of the system is the foundation to realize the automatic tracking and compensation of the arc suppression coil, It is also the key to reliably extinguish the arc and reduce the influence range of the fault when the single-phase grounding fault occurs in the system. Based on the analysis of the variation law of the capacitive current in the distribution network neutral grounding system through the arc suppression coil, this paper proposes a new method for measuring the capacitive current based on the resonance point curve fitting, which is suitable for the pre adjustable turn adjustable arc suppression coil grounding system, and verifies its reliability and accuracy through simulation. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Curve fitting

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Real-Time Transaction Prediction Method Based on Generalized Tie-Line 1

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International Top-Level Forum on Engineering Science and Technology Development Strategy and 5th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2020

作者： Zhang, Yantao Jiang, Jingxiao Tu, Mengfu Xu, Fan Wang, Wen Nanjing Jiangsu211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing Jiangsu211106 China

ISBN: (数字)9789811597466

ISBN: (纸本)9789811597459

In order to cope with the rapid development of renewable energy in the Northwest Power grid, it is an urgent need to predict the renewable energy consumption capacity and transaction needs of the provinces, and promote the timely consumption of renewable energy within and between provinces. Therefore, this paper proposes a real-time transaction prediction method based on the generalized tie-line. Based on the definition of generalized tie lines, a multi-objective optimization model is established. The optimization objectives include positive and negative reserve of the provincial power grid and generalized positive and negative reserve of the main and sub-control areas. The method analyzes the power transmission and reception capacity and power transmission and reception needs of the main and sub-control areas in the next few hours, calculates the power purchase and sales capacity among the provinces, and automatically generates intra-provincial replacement and inter-provincial transaction plan based on the transaction rule library to enhance the intelligence level of renewable energy consumption in the Northwest Power grid. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Forecasting

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Distributed Continuation Power Flow for High Penetration New Energy Power grid

Distributed Continuation Power Flow for High Penetration New...

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International Conference on Power and Energy Technology (ICPET)

作者： Zemei Dai Tianhua Chen Yi Tang Jinquan Zhao State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China College of Power & Electrical Engineering Hohai University Nanjing China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

The high penetration of new energy integration into the power grid has highlighted the problem of voltage stability. Continuation Power Flow (CPF) is an important tool for Voltage Stability Analysis (VSA). As the scale of new energy grid integration continues to expand, the method of power equivalent modeling of the aggregated grid in the main transmission network fails due to the neglect of the network structure and new energy models. This paper proposes a distributed voltage stability assessment method for high proportion new energy grids based on Distributed Continuation Power Flow (DCPF). The proposed method decomposes the global grid at the Point of Common Coupling (PCC) into new energy Sub-grids (SGs) and the transmission Main-grid (MG), achieving distributed computation of global grid voltage stability assessment by exchanging state information at the PCC between MG and SGs. Simulation results of the global power system show that the proposed method is effective.

关键词： Couplings Simulation Computational modeling Voltage Power system stability Stability analysis Power grids Distributed computing Thermal stability Load flow

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Research on Inter-station 2M Communication protection Method Suitable for Stability control System 16th

Research on Inter-station 2M Communication Protection Method...

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16th Annual Conference of China Electrotechnical Society, ACCES 2021

作者： Feng, Ke Chen, Xiong Wang, Wang Zhu, Kaiyang Lu, Yan Cai, Yupeng NARI Group Corporation/State Grid Electric Power Research Institute Nanjing210003 China Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd Shenyang110004 China State Key Laboratory of Smart Grid Protection and Control Nanjing210003 China

ISBN: (纸本)9789811915314

The communication safety of the safety and stability control system has received more and more attention. This paper analyzes the risks and consequences of the inter-station communication in detail. Based on the special structure of the inter-station communication, a security and stability control system inter-station communication protection method is proposed. This method builds a complete communication management scheme by adding function codes, counting bits and check codes in the message, thereby realizing effective identification and protection of risk points such as communication interruption, information tampering, and playback attacks. The effectiveness and reliability of the method has been proved by the results of experiments. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cryptography

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Comparison of Adaptive Virtual Impedance Coefficient to Suppress Power Oscillation in Multi-VSG grids

Comparison of Adaptive Virtual Impedance Coefficient to Supp...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Jie Ji Xingshuo Li Shuye Ding Yizhi Chen School of Electrical and Automation Engineering Nanjing Normal University Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

The virtual synchronous generator(VSG) technology offers inertia support but also introduces active power oscillation, which are more serious when in multi-VSG. The previous studies proposed adaptive virtual impedance aimed at suppressing power oscillation in multi-VSG system. However, further research is still needed to thoroughly examine the adaptive virtual impedance coefficient. In this article, how the power oscillation of multi-VSG to be influenced by adaptive virtual impedance coefficient is investigated. Firstly, an analysis is conducted on the active power oscillation mechanism. Subsequently, the variation law of adaptive virtual impedance coefficient affecting active power oscillation is studied. Finally, The effects of different adaptive virtual impedance coefficient values is compared in simulations and experiment.

关键词： Adaptation models Adaptive systems Impedance Frequency synchronization Oscillators Frequency control

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An Feature Data Extraction Method Based on BPCA-SPCA

An Feature Data Extraction Method Based on BPCA-SPCA

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International Conference on Sensing, Diagnostics, Prognostics, and control (SDPC)

作者： Xiangyu Xing Bingrong Yan Yan Su Lingyun Tang College of Civil Aviation Nanjing University of Aeronautics and Astronautics Nanjing China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9798350388855

ISBN: (纸本)9798350388862

With the increasing integration of systems and the rapid development of sensor monitoring technology, the types of monitoring data are more diverse and the number of samples are larger in flight test and operation than before. Due to the large volume and high complexity of monitoring data, the system fault diagnosis and prediction based on monitoring data is inefficient. In order to solve the problem of monitoring data redundancy, a feature extraction algorithm based on BPCA-SPCA is proposed. A system with high failure rate is selected as an example to extract the features of the system monitoring data and realize the verification of data sparseness. The experimental results show that based on BPCA-SPCA the principal components extracted monitoring data can effectively express the features of the original data, and the feature sparse vector can provide effective input information for subsequent fault diagnosis and indirectly improve the efficiency of fault diagnosis.

关键词： Fault diagnosis Redundancy Feature extraction Prediction algorithms Vectors Inference algorithms Sensors Complexity theory Data mining Monitoring

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Multi-Objective Optimization of Magnetic Parameters in Wireless Charging Coupler Based on Deep Belief Network

Multi-Objective Optimization of Magnetic Parameters in Wirel...

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International Conference on Electrical Machines and Systems (ICEMS)

作者： Yu Lan Jinhai Jiang Kai Song Fengshuo Yang Lin Sang Ke Wang Zhenjun Zhang Xuan Zhang Xuling Li School of Electrical Energineering and Automation Harbin Institute of Technology Harbin China State Key Laboratory of Smart Grid Protection and Operation Control Nari Technology CO. LTD. Nanjing China

The magnetic coupler is the core component of the wireless charging system. Its magnetic parameters have a significant effect on transmission performance. However, the current analytical models used for multi-objective optimization design are inadequate with poor calculation accuracy, leading to challenges in achieving comprehensive multi-objective optimal. This paper proposes an efficient fitness function modeling method for multi-objective optimization based on the deep belief network (DBN), enhancing both the design accuracy and optimization speed. Firstly, a three-dimensional magnetic circuit model is developed to consider the coil, magnetic core, and aluminum plate. Secondly, a loss correlation model of the magnetic coupler is established. Thirdly, the deep belief network (DBN) regression is utilized to obtain an accurate fitness characterization function. Finally, the fractional particle swarm optimization (FPSO) is applied to achieve the Pareto optimal solution of the magnetic coupler’s design parameters. In this work, the WPTI rectangular coil is taken as an illustrative example. An optimized design with a coupling coefficient of 0.23, transmission efficiency of 97.5%, and a weight of 9.6 kg is selected for experimental verification. The results demonstrate that the predicted values match the measurements with an error less than 5%.

关键词：

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Research on Construction of Dispatching Knowledge Model of Power grid 5

Research on Construction of Dispatching Knowledge Model of P...

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5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

作者： Qing, Zheng Dai, Zemei Zhu, Nanyang Yang, Chunxiang Si, Xiaofeng Zhang, Kaifeng Southeast University School of Automation Nanjing China Nari CO.LTD & Nari Technology CO.LTD State Key Laboratory of Intelligent Power Grid Protection and Operation Control Nanjing China State Grid GanSu Electric Power Company Gansu China

ISBN: (纸本)9781665479059

With the construction of the new power market, the tasks of dispatching operation in the power grid become more frequent, and the scenes of dispatching operation are more complicated. The existing dispatching operation system and the technology of decision in power grid cannot meet the requirements. Therefore, this work establishes a knowledge model of power grid dispatching to provide an efficient decision-making tool. This work extracts the benefits of historical operation scenarios and the regulation of dispatching of power grid, and establishes a joint knowledge model of power grid dispatching based on mining and extracting the benefits of historical operation scenarios and the regulation of dispatching of power grid by big data analysis technology and natural language processing technology. The joint knowledge model is essential for dispatcher to formulate more reasonable dispatching operations, reduce the difficulty of decision-making and lower the requirements for dispatchers, which ensures the safe operation of the power grid. © 2022 IEEE.

关键词： Analytical models Decision making Dispatching Power grids Natural language processing Data models Regulation

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Optimal Dispatch of Low-Carbon Campus Power System Considering Flexible Loads and Green Power Utilizations

SSRN

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SSRN 2024年

作者： He, Boyu Jin, Xiaolong Jia, Hongjie Cheng, Lin Mu, Yunfei Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Key Laboratory of Smart Energy & Information Technology of Tianjin Municipality Tianjin University Tianjin30072 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

In recent years, energy consumption in Chinese universities and colleges has constituted approximately 10% of the nation's total energy usage. As part of the drive towards carbon peaking and neutrality, there's a growing imperative to establish cleaner campus power infrastructure. Additionally, maximizing the flexibility of campus loads proves advantageous in integrating renewable energy sources effectively. Therefore, this paper provides an optimal dispatch approach to achieve low-carbon in a campus power system. First, a low-carbon campus power system framework is proposed, in which most of the energy consumption is replaced with green electricity, and teachers and students are able to interact with the energy management system. was proposed. Second, flexible load models in the campus for electric vehicles (EV), air conditioners (AC), energy storage, and other loads were established. To fully exploit the flexibility potential of building loads, the Resistance-Capacitance (RC) model is employed in this study to dynamically describe the thermal processes of buildings. Third, by means of load regulation measures, such as flexible course schedules, an optimal dispatch approach for the low-carbon campus power system was established. A university in southern China is selected as a case study for analysis. After conducting an annual operation simulation, compared to the original scenario, the carbon emissions of the campus power system decreased by 86.97% and the electricity bill paid was saved by 41.2%. The case study shows that adopting load regulation measures can effectively promote the consumption of renewable energy sources and support the development of the low-carbon campus. © 2024, The Authors. All rights reserved.

关键词： Renewable energy

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Analysis of Ultra-low Frequency Oscillation Stability of Power Systems

Analysis of Ultra-low Frequency Oscillation Stability of Pow...

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International Conference on Power and Energy Technology (ICPET)

作者： Kesu Cai Dongsheng Liu Wenshuo Zhao Xi Hong Yao Yin Xuanqu Fei State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation State Grid Electric Power Research Institute NanJing China School of Electrical Engineering and Electronic Information Xihua University Chengdu China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

The Low-Frequency Oscillation (LFO), Ultra-Low Frequency Oscillation (ULFO) and other oscillation can endanger the safety and stability operation of the power grid. However current relevant standards only have clear provisions on the critical damping ratio of LFO. Based on the risk of ULFO in high proportion hydropower systems, the principle and key influencing factors of ULFO are derived theoretically. According to the characteristics and hazards of ULFO, a method for determining the critical damping ratio of ULFO is explored, and the effectiveness of the method is tested through the actual response trajectory.

关键词： Damping Stability criteria Hydroelectric power generation Power system stability Attenuation Power grids Hazards Trajectory Oscillators Standards

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