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13th International Conference on Power and Energy Systems, ICPES 2023

作者： Bo, Lin Xu, Taishan Tu, Mengfu Lu, Jinjun Nari Group Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350345063

The volatility and uncertainty of wind power bring severe challenges to the power system, and the modeling of multi-wind farm output scenarios considering the uncertainty of wind power is of great significance in power system dispatching decision-making. Especially for area/ province with abundant wind power resources, where the reliability of the dispatching plan can be strongly affected by the volatility of large amount of wind power. In this paper, a practical method of generating probabilistic scenarios for day-ahead wind power output is proposed for provincial power grid with high proportion of wind power. Firstly, the K-Shape clustering algorithm is used to cluster the wind farm stations, and then the output scenario are generated by using the total wind power forecast value and forecast error probability distribution characteristics of each aggregated station. After arrangement and combination of the aggregated stations' scenes, the scenario minimization based on probability distance was conducted for clustering reduction to obtain the typical output scenes, and then the typical output scenes were assigned to each station according to the forecast value of the station to obtain the probability output scenes of each station. It is verified by actual power grid data that the scenarios generated by this method can combine with wind power predictions to well depict the random fluctuation of multi-wind farms output and has a good application prospect in the practice of day-ahead dispatching decision making. © 2023 IEEE.

关键词： Stochastic programming

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Marginal Unit Location Method Based on Dual Simplex Sensitivity Analysis 1

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7th Purple Mountain Forum on smart grid protection and control, PMF2022

作者： Zhang, Yantao Chang, Li Cao, Rongzhang Wang, Wen Zang, Zhendong Wu, Shuomin Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

With the continuous settlement and trial operation in the domestic power spot market, the price volatility analysis scenarios of the LMP widely used by power spot pilot provinces have gradually increased, and the real-time nature has gradually increased. Since LMP is affected by many factors, and different factors are coupled with each other, it is impossible to quickly and accurately analyze the reasons for node price fluctuations and pricing units. Therefore, combined with the domestic spot market clearing and pricing two-stage optimization strategy and the mature dual simplex theory, a marginal unit location method based on dual simplex sensitivity analysis is proposed. The method supports different scenarios such as unit independent pricing, unit, and constraint slack variable joint pricing, etc. The rationality of the positioning method is verified by the PJM 5 node and practical example. The results show that the method is universal and has been applied to several spot pilots. © state grid Electric Power Research Institute 2023.

关键词： Sensitivity analysis

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Comparison and improvement of key feature selection methods for intelligent assessment of transient power angle stability 5

Comparison and improvement of key feature selection methods ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Zhang, Yin Xu, Taishan Ren, Xiancheng Bao, Yanhong Wu, Feng Zhang, Jinlong Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

key feature selection is of great significance for intelligent assessment of transient power angle stability of power system. This paper proposes a key feature selection method for improved Relief. Through analyzing and comparing the applicability of correlation coefficient, mutual information and Relief, three representative key feature selection methods, in the intelligent assessment of transient angle stability of power system, the applicability of Relief is better. The Relief index reflects the strength of the feature to classify transient power angle stability and instability. By eliminating redundancy and increasing the weight of unstable samples, the accuracy of index calculation and the ability to adapt to sample imbalance are improved. Based on improved Relief, feature is selected by iterative optimization, which can automatically screen out the optimal key feature set. The effectiveness of the method is verified by an example of power grid. © 2022 IEEE.

关键词： Transients

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Compact Valve Hall Layout of DC Transformer for Offshore Wind Farm All-DC Collection Platform 7

Compact Valve Hall Layout of DC Transformer for Offshore Win...

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2024 7th International Conference on Mechanical, Electrical and Material Application, MEMA 2024

作者： Huang, Junwei Chao, Wujie Deng, Chaoping Dai, Liyu Wang, Jinke Electric Power Research Institute of State Grid Fujian Electric Power Co. Ltd. Fuzhou350007 China Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou350007 China

To solve the problems of high investment cost, difficulty in improving AC collection efficiency, and broadband resonance in flexible DC transmission of offshore wind power, researchers have proposed an all-DC collection system. To further optimize the economic efficiency of offshore wind farm engineering, this paper studies on the compact valve hall layout of DC transformer for offshore wind farm all-DC collection platforms. The minimum air clearance inside the valve hall was determined based on the insulation level of the DC transformer, and a compact valve hall layout plan for the DC transformer was proposed, taking into account factors such as the electrical main wiring scheme, weight distribution, and symmetrical balance. The proposed compact valve hall layout scheme for DC transformers can reduce the volume of offshore all-DC collection platforms, save engineering construction costs, and improve the efficiency of offshore wind farms. This article can provide reference and guidance for subsequent research on all-DC collection and economic transmission of large-scale offshore wind farms. © Published under licence by IOP Publishing Ltd.

关键词： Offshore wind farms

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Characteristics of perfluoromethyl vinyl ether:A new eco-friendly alternative gas for SF_(6)

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High Voltage 2024年第3期9卷 509-517页

作者： Song Xiao Yijiang Chen Mingjun Tang Shuangshuang Tian Haoran Xia Yifan Wang Ju Tang Yi Li Xiaoxing Zhang State Key Laboratory of Power Grid Environmental Protection School of Electrical Engineering and AutomationWuhan UniversityHubeiChina Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System School of Electrical and Electronic EngineeringHubei University of TechnologyWuhanChina

The exploration of eco-friendly insulating gas to substitute the most potent greenhouse gas sulphur hexafluoride(SF6)has consistently garnered significant ***,the au-thors evaluated the feasibility of utilising perfluoromethyl vinyl ether(PMVE,C_(3)F_(6)O)as a new branch of eco-friendly insulating gas for the first *** primary dielectric and stability characteristics of PMVE regarding AC breakdown,partial discharge,dielectric recovery,and decomposition properties were revealed under various gas pressure and electrical field *** was found that PMVE demonstrated superior dielectric strength,with the AC breakdown and PD inception voltage(PDIV)1.10 and 1.14 times that of pure SF_(6).Furthermore,the dielectric strength of PMVE exhibits stability even after undergoing 100 cycles of AC breakdowns,and there is no observable formation of solid precipitation on the electrode *** discharge decomposition of PMVE mainly generates fluorocarbon(CF_(4),C_(2)F_(6),C_(3)F_(6),C_(3)F_(8),etc.)and ***,the exceptional insulation stabilityandno absence of solidprecipitation featuresendow PMVE tobe utilised as a new eco-friendly gas for SF_(6)-free gas-insulated equipment.

关键词： surface dielectric vinyl

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The Risk of Cyber Security for Power Stability control System and Its Test Platform 4

The Risk of Cyber Security for Power Stability Control Syste...

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4th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2022

作者： Tong, Heqin Xu, Jianbing Zhang, Liquan Liang, Shizhe Mai, Cheng Ding, Weidong Hu, Kunxuan State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Electric Power Research Institute Nanjing China

ISBN: (数字)9781665467735

ISBN: (纸本)9781665467735

With the development of the smart grid and cross-regional power stability control technology, communication system and the infrastructure of power system combines together to become a coupled system. Thus, the cyber-attack on the communication and information system may cause serious threat on the power system. So, in this paper, a cyber-security test platform for the power stability control system is proposed and built. By this test platform, the cyber security can be tested and analyzed, and the ability to resist cyber-attacks can be evaluated. In this paper, the structure of communication network for the power stability control system and its cyber security risk is analyzed;then, the cyber security test platform for the power stability control system is proposed, and the structure, test items and the implementation scheme of the test platform is provided;finally, we use an operating typical power stability control system as the test case to evaluate the applicability of the test platform and provide some advantages of this platform. © 2022 IEEE.

关键词： Cyber attacks

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Capacitance Current Compensation Method for Cable-Overhead Hybrid Transmission Lines 5th

Capacitance Current Compensation Method for Cable-Overhead H...

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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： Yao, Gang Wu, Tonghua Zheng, Yuping Teng, Xianliang Hong, Feng Chen, Guozhou NARI Group Corporation Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (纸本)9789811597459

At present, the capacitance current compensation technology for transmission line differential protection is based on uniform parameters of entire lines, so it cannot be adapted to cable-overhead hybrid transmission lines. In this paper, a steady-state compensation method based on segment parameters, a time-domain compensation method based on whole line equivalent parameters and a time-domain compensation method based on segment parameters are proposed, which can adapt to different application scenarios, such as hybrid lines with shunt reactance at the ends and junctions. A PSCAD/EMTDC simulation shows that when a hybrid transmission line is short, the time-domain compensation method based on whole line equivalent parameters is simple to implement, and it can effectively compensate the capacitance current of hybrid transmission lines. The time-domain compensation method based on segment parameters can accurately compensate the capacitance current of hybrid transmission lines, taking into account the reliability and sensitivity of differential protection. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Cables

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An Integer Variable Reduction and Neighborhood Search Cutting Plane Method for Security Constrained Unit Commitment 4

An Integer Variable Reduction and Neighborhood Search Cuttin...

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4th International Conference on Power and Energy Technology, ICPET 2022

作者： Ding, Qia Ye, Jun Wang, Mengchang Zhang, Yantao Lu, Chunling Wang, Wen State Key Laboratory of Smart Grid Protection and Control Nanjing China Alibaba Group Alibaba Damo Academy Hangzhou China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

Security-constrained unit commitment (SCUC) is the foundation to ensure the safe and economic operation of power systems. A large number of integer variables and complex network security constraints are the main barriers that limit the computation efficiency of the SCUC problem. In this paper, the congestion information is used to identify the units that play a key role in alleviating transmission congestion, in the process of iterative solving of the SCUC. Then the commitment statuses of non-critical units are fixed, and the number of integer variables is reduced. Additionally, a neighborhood search cutting plane is designed and added to the model so as to reduce the branch-and-bound search space of the mixed integer programming problem. The simulation results of the 3375-bus case demonstrate that the proposed method can significantly improve the solving efficiency compared with the traditional method. © 2022 IEEE.

关键词： Complex networks

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Fully Distributed Economic Dispatch for Cyber-physical Power System with Time Delays and Channel Noises

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1472-1481页

作者： Yuhang Zhang Ming Ni Yonghui Sun College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing 211106China NARI Technology Co. Ltd.Nanjing 211106China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China

Economic dispatch problem(EDP)is a fundamental optimization problem in power system operation,which aims at minimizing the total generation *** fact,the power grid is becoming a cyber-physical power system(CPPS).Therefore,the quality of communication is a key *** this paper,considering two important factors,i.e.,time delays and channel noises,a fully distributed consensus based algorithm is proposed for solving *** critical maximum allowable upper bounds of heterogeneous communication delays and self-delays are *** should be pointed out that the proposed algorithm can be robust against the time-varying delays and channel noises considering generator *** addition,even with time-varying delays and channel noises,the power balance of supply and demand is not broken during the *** simulation studies are presented to validate the correctness and superiority of the developed results.

关键词： Distributed economic dispatch consensus-based algorithm cyber-physical power system time delay channel noises

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Energy Procurement and Retail Pricing for Electricity Retailers via Deep Reinforcement Learning with Long Short-term Memory

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CSEE Journal of Power and Energy Systems 2022年第5期8卷 1338-1351页

作者： Hongsheng Xu Jinyu Wen Qinran Hu Jiao Shu Jixiang Lu Zhihong Yang State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical Electronic Engineering Huazhong University of Science and TechnologyWuhan 430074China NARI Group Corporation Nanjing 211106China School of Electrical Engineering Southeast UniversityNanjing 210096China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China

The joint optimization problem of energy procurement and retail pricing for an electricity retailer is converted into separately determining the optimal procurement strategy and optimal pricing strategy,under the“price-taker”*** aggregate energy consumption of end use customers(EUCs)is predicted to solve for the optimal procurement strategy vis a long short-term memory(LSTM)-based supervised learning *** optimal retail pricing problem is formulated as a Markov decision process(MDP),which can be solved by using deep reinforcement learning(DRL)***,the performance of existing DRL approaches may deteriorate due to their insufficient ability to extract discriminative features from the time-series vectors in the environmental *** propose a novel deep deterministic policy gradient(DDPG)network structure with a shared LSTM-based representation network that fully exploits the Actor’s and Critic’s *** designed shared representation network and the joint loss function can enhance the environment perception capability of the proposed approach and further improve the optimization performance,resulting in a more profitable pricing *** simulations demonstrate the effectiveness of the proposed approach.

关键词： Deep reinforcement learning electricity market energy procurement long short-term memory retail pricing

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