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6th International Conference on Energy, Electrical and power Engineering, CEEPE 2023

作者： Liu, Yonghan He, Jing Wang, Peng Zhao, Haoran School of Electrical Engineering Shandong University Jinan China China Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage System Beijing China

ISBN: (纸本)9798350348279

The power grid becomes complex, low-frequency oscillations occur more frequently, posing significant challenges to power systems' safe and stable operation. power system stabilizers are commonly used to enhance system stability by improving damping and suppressing low-frequency oscillations. However, optimizing PSS parameters is a challenging task that typically requires extensive analysis or on-site experimentation. To address this challenge, this study proposes an efficient parameter optimization method for PSSs using the DIgSILENT powerFactory software and the particle swarm optimization algorithm. The proposed method is validated on a 39-node system, and the results show that the proposed method improves system damping and enhances stability. This method offers an easy-to-implement solution for engineers seeking to optimize PSS parameters in power systems. © 2023 IEEE.

关键词： system stability

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Prototype Guided Personalized Federated Intrusion Detection system 10

Prototype Guided Personalized Federated Intrusion Detection ...

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10th IEEE Smart World Congress, SWC 2024

作者： Cheng, Long Yan, Huiru Zhou, Hanlin Wang, Ying Tang, Haichuan Fang, Fang North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering Beijing China Institute of Computing Technology Chinese Academy of Sciences Beijing China Ai Lab of Crrc Academy Beijing China

ISBN: (纸本)9798331520861

Preventing network attacks and protecting user privacy are consistently hot research topics in the Internet of Things (IoT) and edge computing fields. Recent advancements in Federated Learning (FL) have shown promise in addressing these challenges. FL allows various clients to collaboratively build an intrusion detection system (IDS) without sharing their private data. However, most existing methods train a single intrusion detection model for all clients and assume that the training and test data distribution are identical, leading to unsatisfactory detection accuracy and generalization abilities in practice. To overcome these challenges, this paper introduces a prototype-guided personalized FL approach named PG-FedIDS. We propose two novel mechanisms within this method. Firstly, we utilize class prototypes as auxiliary information carriers to generate personalized models for each client, rather than generating a single global model as in previous works. Secondly, we propose a prototype-guided ensemble learning strategy, which can leverage the global knowledge in prototypes to enhance detection accuracy and generalization abilities for each client. We conduct extensive experiments on two benchmark datasets with different evaluation test settings. The results demonstrate that our PG-FedIDS achieves promising detection accuracy and consistently outperforms other FL baselines. © 2024 IEEE.

关键词： Federated learning

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A Real-Time Charging and Discharging Scheduling Strategy for Large-Scale Electric Vehicles into Smart Grid Considering the Economic Benefits of Both Vehicle Owners and the Grid

SSRN

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SSRN 2024年

作者： Wang, He Wang, Yao Bian, Jing Li, Guoqing Key Laboratory of Modern Power System Simulation and Control and New Green Electricity Technology The Ministry of Education Northeast Electric Power University Jilin132012 China

The flexible energy storage characteristics of Electric vehicles (EVs) make them an important target for grid demand response. However, in the context of integrating large-scale EVs into the grid, a significant challenge is to improve the accuracy of the guided charging and discharging (C&D) schedule for grid energy regulation while considering the economic implications for both EV owners and the grid. To address this problem, this paper proposes a bi-level real-time dispatch strategy based on an improved rolling horizon method (RHM). In the upper-level real-time pricing optimization strategy, the relation between electricity price and power grid energy regulation demand is established by introducing a fixed base elasticity coefficient. To solve a real-time price that can maximize the income of the grid, an algorithm process is designed to find the relationship between the real-time price and the load of to-be-scheduled-EVs (TSEVs). In the lower-level EV C&D load optimization strategy, an adaptive variable horizon scale (AVHS)-RHM is proposed to enhance the correction effect of the RHM. Additionally, the temporal scheduling constraint (TSC) of real-time dispatching is ensured through grouping and parallel computing. simulation results indicate that the proposed real-time dispatch strategy, compared to the commonly used time-of-use (TOU) pricing, reduces the maximum peak-valley load differences by 17.6% and the standard deviation by 6.9%. This effectively enhances the accuracy of EVs' participation in grid energy regulation and provides a viable solution to fully utilize EVs as part of flexible resources. © 2024, The Authors. All rights reserved.

关键词： Electric vehicles

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Optimization of Sound Absorption and Insulation Performances of a Dual-Cavity Resonant Micro-Perforated Plate

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Fluid Dynamics & Materials Processing 2022年第2期18卷 481-496页

作者： Wei Chen Zhaofeng Guo Hongda Feng Sheng Hu Ling Lu Chuanmin Chen Xiaowen Wu Hao Cao State Grid Hunan Electric Power Co. Ltd.Electric Power Research InstituteChangsha410000China State Grid Corporation of China Power Facilities Noise and Vibration Laboratory Changsha410000China North China Electric Power University Department of Environmental Science and EngineeringHebei Provincial Key Laboratory of Coal-Fired Power Station Flue Gas Multi-Pollution Cooperative ControlBaoding071003China North China Electric Power University Key Laboratory of Regional Energy System Optimization Ministry of EducationBeijing102206China

This study investigates a dual-cavity resonant composite sound-absorbing structure based on a micro-perforated *** the COMSOL impedance tube model,the effects of various structural parameters on sound absorption and sound insulation performances are *** show that the aperture of the micro-perforated plate has the greatest influence on the sound absorption coefficient;the smaller the aperture,the greater is this *** thickness of the resonance plate has the most significant influence on the sound insulation and resonance frequency;the greater the thickness,the wider the frequency domain in which sound insulation is *** addition,the effect of filling the structural cavity with porous foam ceramics has been studied,and it has been found that the porosity and thickness of the porous material have a significant effect on the sound absorption coefficient and sound insulation,while the pore size exhibits a limited influence.

关键词： Micro perforated plate double cavity compound resonance structure sound absorption coefficient sound insulation

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MECaaS: Mobile Edge Computing as a Services Based on Blockchain 17th

MECaaS: Mobile Edge Computing as a Services Based on Blockch...

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Li, Bo Lu, Jiangang Zhao, Ruifeng Hu, Rong Zhou, Huafeng Pang, Xueyue Xu, Yihang Electric Power Dispatching and Control Center of Guangdong Power Grid Co. Ltd. Guangzhou China China Southern Power Grid Power Dispatching and Control Center Guangzhou China China Energy Engineering Group Guangdong Electric Power Design Institute Co. Ltd. Guangzhou China State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing China

ISBN: (纸本)9789819904501

As a new generation of computing paradigm for Internet of things (IoT), edge computing has been proved to be promising in solving the problems of insufficient centralized computing power, bandwidth congestion and transmission delay by distributing traditional cloud resources down to edges. While so, massive of computing resources have not been utilized due to the physical heterogeneity and allocation issues. Addressing on the two major challenges, in this paper, we propose a blockchain-based edge computing solution (MECaaS), which integrates smart contract, component interface, distributed allocation algorithm and other elements as a service. Comparing with the existing blockchain-edge computing solutions, we focus more on technical implementation than just the theoretical framework, by distributing this service to inspire devices’ self-potential in interaction, perception and decision, in further forms a distributed intelligent system. The service is deployed in a heterogeneous IoT scenario, and proved to be efficient for edge computing. Also, experimental results show that distributed resource allocation strategies perform better than centralized ways to some extent. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Blockchain

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Topological Identification of Distribution Network Based on μPMU Voltage Phase Data 10

Topological Identification of Distribution Network Based on ...

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10th China International Conference on Electricity Distribution, CICED 2022

作者： Guo, Shaofei Wang, Xianzhi Tianying, Chen Ze, Li Shiyan, Liu Hebei Key Laboratory of Energy Internet Simulation Modeling and Control State Grid Hebei Electric Power Research Institute Shijiazhuang China

ISBN: (数字)9781665452687

ISBN: (纸本)9781665452687

The structure of distribution network becomes more and more complex. In order to ensure the safety and stable operation of the system, it is necessary to obtain the current network structure in real time. In order to meet the requirement that the distribution network topology recognition must be fast and accurate, a distribution network topology recognition method based on micro-synchronous Phasor Measurement Unit (μPMU) is proposed. Firstly, the topology identification criterion is constructed by using the voltage and phase data before and after the topology change. Then, a topology recognition algorithm based on phase difference is proposed to analyze the difference between the voltage phase and the actual phase under different topology conditions, and the topology corresponding to the minimum difference is selected as the actual topology to realize the correct recognition of the distribution network. Finally, a simulation example is given to verify the correctness of the proposed method, and the influencing factors of topology recognition are analyzed. The results show that the criterion is correct and reliable, and the proposed topology recognition algorithm has high recognition accuracy. © 2022 IEEE.

关键词： Topology

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Research on Comprehensive Assessment Method of Battery Consistency Based on Scaled Energy Storage power Station

Research on Comprehensive Assessment Method of Battery Consi...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Kepaiyitulla Tursun Ming Li Yunping Zheng Sijia Zong Xingyan Luo Shangxing Wang Xiangjun Li Xinjiang Key Laboratory of Whole Process Simulation for Power System State Grid Xinjiang Electric Power Research Institute Urumqi China State Key Laboratory of Operation ad Control of Renewable Energy and Storage systems China Electric Power Research Istitute Beijing China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

In the long-term operation of a megawatt-scale energy storage plant composed of series-parallel connections, the single batteries will have different degrees of inconsistency problems. To solve this problem, this paper proposes a comprehensive assessment method based on the consistency of batteries in scaled energy storage power stations. According to the consistency indexes such as single battery voltage and voltage polarity difference in series connection between modules, the consistency evaluation criterion of battery monomer was established. Based on the historical data of a battery energy storage system, the consistency evaluation criterion of a single battery is used to analyze the consistency of a single battery of an energy storage power station at different charging and discharging stages. The results show that this method can accurately assess cell consistency. It provides data support for the health status assessment of energy storage plants and reduces the systematic operational risk of energy storage plants.

关键词： Electrical engineering systematics Battery energy storage system Asia Voltage Hazards Batteries

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Research on PV Low Voltage Ride-Through control Based on RT-LAB Hardware-in-the-Loop 10

Research on PV Low Voltage Ride-Through Control Based on RT-...

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10th China International Conference on Electricity Distribution, CICED 2022

作者： Cui, Tongfei Liang, Jifeng Liu, Shiyan Dong, Jingyuan Li, Xiaojun Li, Anyi Hebei Key Laboratory of Energy Internet Simulation Modeling and Control State Grid Hebei Electric Power Research Institute Shijiazhuang China

ISBN: (数字)9781665452687

ISBN: (纸本)9781665452687

As a key indicator of whether the photovoltaic power generation system is friendly to the grid, low voltage ride-through is related to the safe and stable operation of the grid. In order to further enhance the low voltage ride-through capability of photovoltaic power generation systems, a low voltage ride through strategy based on RT-LAB hardware-in-the-loop is proposed in this paper. First of all, in view of the problem of disconnection of units caused by the rise of DC side busbar voltage caused by the sudden drop of grid voltage, the correlation coefficient of reducing MPPT operation is introduced, which effectively suppresses the rise of DC side voltage. Then, the underlying control mechanism of photovoltaic inverters is explored. On this basis, the control loop and operating mode of the inverter during the fault are reshaped to limit the overcurrent of the power electronic device. Finally, it is verified on the RT-LAB hardware-in-the-loop simulation platform, and the results show that the strategy works well under different drop depths. Both have good dynamic reactive power support ability, and have better voltage regulation and voltage regulation ability. © 2022 IEEE.

关键词： Hardware-in-the-loop simulation

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simulation Analysis of EFDC of Oil-Paper Insulation under Typical Electrode Structures with the Influence of Harmonic Voltage

Simulation Analysis of EFDC of Oil-Paper Insulation under Ty...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Ning Zhang Jian Hao Jing Xu Jixiang Wang Houhe Chen Ruijin Liao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Key Laboratory of Power Transmission Equipment Technology School of Electrical Engineering Chongqing University Chongqing China

ISBN: (数字)9798350309638

ISBN: (纸本)9798350309645

The primary sources of harmonic distortion in the new power system are a high percentage of access to power electronic equipment and a high percentage of renewable energy grid connections. These factors pose a major risk to the UHV converter transformer oil-paper insulation performance. However, the influence law of harmonic voltage on the electric field distribution characteristics (EFDC) of oil-paper insulation is still unclear; thus, the law of variation of spatial maximum electric field strength (SMEFS) under the action of harmonic voltage and the EFDC on the surface of oil-immersed insulating paper are investigated in this paper by building a two-dimensional simulation model of the electric field distribution of oil-paper insulation under ball-plate and cylinder-plate electrode structure. The results indicate that the two electrode structures' SMEFS are situated in the narrow oil gap between the oil-impregnated insulating paper and the high-voltage electrode; under the influence of the same harmonic components, the insulating paper's surface exhibits an inverse power function decay in the electric field distribution, with the cylinder-plate electrode decaying more quickly than the ball-plate electrode. Meanwhile, for both electrode structures, with the increase of the 5th and 13th harmonics, the SMEFS and the insulating paper surface field strength both increase linearly and are higher than that of the power frequency field strength, while for the 7th and 11th harmonics, the ball-plate electrode weakens the electric field and then increases it with the increase of the harmonic content, whereas the cylinder-plate electrode only increases the electric field.

关键词： Electrodes Renewable energy sources Voltage power system harmonics Harmonic analysis Predistortion power electronics

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A Storage and Transmission Joint Planning Method for Centralized Wind power Transmission

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Computers, Materials & Continua 2021年第7期68卷 1081-1097页

作者： Xiuyu Yang Qi Guo Jianzhong Gui Renyong Chai Xueyuan Liu Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University) Jilin132012China Electrical Engineering-PHD program at the University of Idaho Idaho83843America State Grid Jiangxi Power Supply Company Xinyu338025China

Centralized delivery has become the main operation mode under the scaled development of wind *** channels are usually the guarantee of out-delivered wind power for large-scale wind *** configuration of transmission capacity,which has the features of low utilization and poor economy,is hardly matching correctly due to the volatility and low energy density of *** usage of energy storage can mitigate wind power fluctuations and reduce the requirement of out-delivery transmission capacity,but facing the issue of energy storage cost ***,it is necessary to optimize the allocation of energy storage while considering the problem of wind power *** paper studies the joint optimization of large-scale wind power transmission capacity and energy storage,reveals the mechanism of energy storage in order to reduce the power fluctuation of wind power base and slow down the demand of ***,analyze the multi-functional cost-sharing mode of energy storage,improve the efficiency of energy storage cost *** the coordination optimization configuration model to deal with the problem of large-scale wind power transmission capacity and energy storage,and realizes the transmission capacity optimization coordination and optimization with energy *** proposed method is verified by a wind base located in Northeast China.

关键词： Wind farm group energy storage configuration transmission capacity coordination and optimization

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