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power Science and Technology (ICPST), IEEE International Conference on

作者： Dong Lv Yuan Wang Fei Xu Bing Zhang Hongye Wang Li He Hui Zhu Junhui Li China Three Gorges Renewables(Group) Co. Ltd Beijing China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation Tsinghua University Beijing China

In the new power system, the output of new energy power stations has strong volatility, which leads to huge deviation assessment expenditure. Therefore, based on the improved data preprocessing algorithm and deep learning algorithm, a day-ahead reporting strategy of wind power plants considering error prediction characteristics is proposed. Firstly, considering the historical real output and prediction error, the historical data is decomposed based on the complete noise-assisted ensemble empirical mode decomposition algorithm (CEEMDAN). Then, the components are introduced into the long short-term memory (LSTM) optimized by the improved particle swarm optimization algorithm (IPSO), and the components are reconstructed to obtain the original prediction curve and the error prediction curve. Finally, the empirical distribution function is used to revise the prediction error curve, and the original prediction curve and the error prediction curve are superimposed to obtain the final day-ahead report curve. The correctness and feasibility of the reporting strategy are verified by simulation analysis.

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Integrated Fuzzy control Strategy for Primary Frequency Regulation of Energy Storage System

Integrated Fuzzy Control Strategy for Primary Frequency Regu...

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

作者： YongHui Yang Ying Qiao Zongxiang Lu Yu Li Wei Ma State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments of Electrical Engineering Tsinghua University Beijing China State Grid Xinjiang Electric Power Company Limited Xinjiang China

Aiming at the problem that the proportion of new energy is gradually increasing and the frequency quality is getting worse, a comprehensive control strategy for primary frequency regulation of energy storage system based on fuzzy control is proposed. Firstly, the influence of energy storage virtual droop, virtual inertia and virtual negative inertia control on the frequency response of the system is analyzed, and the fuzzy control is used to realize the smooth switching and complementary advantages between the control modes; Then, the feedback control strategy of SOC is designed by using logistics function, and the self-recovery control strategy of energy storage SOC is introduced to make the energy storage SOC reach the ideal state and improve the frequency modulation ability of energy storage. Finally, the simulation results show the effectiveness of the proposed method.

关键词： Fuzzy control Time-frequency analysis Frequency modulation Switches System integration Maintenance engineering control systems

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Basic reason for the accumulation of charge on the surface of polymer dielectrics

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Science China Materials 2022年第10期65卷 2884-2888页

作者： Tianyu Wang Xiaofen Li Boya Zhang Dayu Li Jianbo Liu Guixin Zhang State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Key Laboratory of Advanced Materials(MOE) School of Materials Science and EngineeringTsinghua UniversityBeijing 100084China State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong UniversityShaanxi 710049China

Due to their outstanding electrical insulation performance,low energy loss and high reliability,polymer dielectrics are widely used in flexible electronics,capacitors and large-scale power transmission equipment[1–5].However,polymer dielectrics accumulate large amounts of charge on their surface during use,which causes local electric field distortion and induces flashover,explosion,and equipment damage[6–9].Although researchers have attempted to develop methods to reduce the accumulation of surface charge through material modification,such as plasma treatment[10],direct fluorination[11],and coating[7,9,12],each of these methods has drawbacks;thus,the bottleneck has yet to be overcome.

关键词：电荷量第一性原理计算聚合物表面电介质电场畸变深能级缺陷电荷测量电荷特性

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Critical link identification of power system vulnerability based on modified graph attention network

arXiv

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arXiv 2024年

作者： Wang, Changgang Wang, Xianwei Cao, Yu Li, Yang Lü, Qi Zhang, Yaoxin Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Northeast Electric Power University Jilin132012 China State Grid Tianjin Electric Power Company Tianjin300010 China

As the power grid expands and the proportion of renewable energy increases, the uncertainty and randomness of the power grid have increased, posing a threat to the security of system operation. It becomes crucial to identify the crucial links in the power grid to ensure its reliability during operation. Addressing the issues of slow identification speed and difficulty in meeting the actual operational requirements of traditional methods for identifying crucial links in the power grid, this paper proposes a method based on the Modified Graph Attention Network (MGAT) algorithm for identifying crucial link in the power grid. Firstly, combining complex network theory with actual power grid operational data, an evaluation index set is established. Subsequently, the MGAT is utilized to explore the mapping relationships between various indicators during power grid operation and the crucial links, forming a model for crucial link identification. Considering the requirements of training accuracy and efficiency, the original data is preprocessed to optimize the model. Next, through simulation, the original dataset is obtained for training, validation, and testing of the identification model. Finally, the proposed model is applied to an improved IEEE 30-node system and a real power grid. The results indicate the feasibility of the proposed method, with accuracy and speed surpassing traditional methods, demonstrating its practical engineering value. © 2024, CC BY-NC-ND.

关键词： Smart power grids

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Wind power operation capacity credit assessment considering energy storage

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Global Energy Interconnection 2022年第1期5卷 1-8页

作者： Wenhui Shi Jixian Qu Weisheng Wang China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy&Storage SystemsBeijing 100192P.R.China

Research on wind power capacity credit at the operational level plays an important role in power system *** the popularity of energy storage devices,it is increasingly necessary to study the impact of energy storage devices on wind power operational capacity *** definition of wind power operational capacity credit is *** available capacity model of different generators and the charging and discharging model of the energy storage are *** on the above model,the evaluation method of wind power operation credible capacity considering energy storage devices is *** influence of energy storage on the wind power operation credible capacity is obtained by case study,which is of great help for the power system dispatching operation and wind power accommodation.

关键词： Wind power Operation capacity credit Energy storage Operation reliability

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Alkaline molten salt thermal treatment of mixed waste plastics for oil production: Insight into the effects of molten salt alkalinity and plastic molecular structure

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Fuel 2025年 399卷

作者： Ren, Yang Dai, Qiqi He, Jing Hu, Hongyun Li, Xian Li, Aijun Zhang, Changbin Yao, Hong State Key Laboratory of Coal Combustion School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan430074 China Research Institute of Huazhong University of Science and Technology in Shenzhen Shenzhen518000 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China

Pyrolysis has emerged as the primary strategy for recycling waste plastics into oil. However, the low thermal conductivity of plastics results in inefficient heat transfer and extended residence times, which is unfavorable for oil production. Here, a novel method by using thermally stable alkaline molten salt as an effective medium to enhance heat transfer and thermal reaction was proposed. The oil yield exhibited a direct correlation with molten salt alkalinity. NaOH-Na2CO3 system achieved remarkable gas upgrading: >99 % chlorine immobilization coupled with alkali-mediated hydrogen enrichment (H2 ratio > 80 %), enabled by catalytic carbon-alkali interactions. Plastic molecular structures governed product selectivity during molten salt thermal treatment: polyolefins (PE/PP) predominantly yielded α-olefins through promoting β-scission reactions, while polyvinyl chloride (PVC) and polystyrene decomposition generated aromatic hydrocarbons (BTX, styrene) via enhancing dehydrochlorination and aromatization. In co-processing of mixed plastics, weak interactions existed between PE and PP during both conventional and molten salt conversions, with product distributions resembling linear combinations of individual pyrolysis results. PVC-PS blends exhibited significant cross-reactivity: HCl evolved from PVC decomposition engaged in secondary reactions with styrene (PS product). Primary radicals on PS chains post-scission drove depolymerization pathways, elevating ethylbenzene/α-methylstyrene formation at the expense of styrene monomers. Molten salt reduced PVC-PS cross-reactivity via chlorine capture and H-radical redistribution, increasing styrene monomer yields by 142 %. These findings facilitate the high-value recycling of mixed waste plastics for oil production. © 2025 Elsevier Ltd

关键词： Isomers

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Two-Stage Robust Optimization Under Decision Dependent Uncertainty

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1295-1306页

作者： Yunfan Zhang Feng Liu Yifan Su Yue Chen Zhaojian Wang João P.S.Catalão State Key Laboratory of Power System and Generation Equipment the Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Mechanical and Automation Engineering the Chinese University of Hong KongHong Kong SARChina Ministry of Education Key Laboratory of System Control and Information Processing the Department of AutomationShanghai Jiao Tong Universityand also with Shanghai Engineering Research Center of Intelligent Control and ManagementShanghai 200240China Faculty of Engineering of the University of Porto and Institute for Systems and Computer Engineering Technology and Science(INESC TEC)Porto 4200-465Portugal IEEE

In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.

关键词： Benders decomposition decision-dependent uncertainty endogenous uncertainty robust optimization(RO)

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power Quality Governance Strategy of Active Distribution Network Based on Multi-phase Optimal power Flow

Power Quality Governance Strategy of Active Distribution Net...

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International Conference on Harmonics and Quality of power

作者： Yuzhe Xie Jiayu Xu Jiaqi Duan Peiru Song Xiang Zhou Yang Wang Ningbo Key Laboratory of Digital-Physical Hybrid Simulation for New Power Systems State Grid Zhejiang Electric Power Co. Ltd. Ningbo Power Supply Company Zhejiang China College of Electrical Engineering Sichuan University Sichuan China

ISBN: (数字)9798350382563

ISBN: (纸本)9798350382570

In recent years, due to the large-scale integration of distributed energy sources in active distribution networks, severe over-voltage issues have emerged. A common solution is to install reactive power compensation devices, but the application scenarios of these devices are limited. With the widespread application of energy storage and electric vehicles in distribution networks, the active power output of energy storage systems and the V2G (Vehicle-to-Grid) interaction of electric vehicles not only address issues like peak shaving and valley filling, but also the reactive power and harmonic current output by their grid-connected inverters, when capacity permits, can be used to compensate the voltage quality of the distribution network. Therefore, this paper proposes a power quality management strategy for active distribution networks based on the collaborative optimization of energy storage systems and electric vehicles. This is achieved by establishing an Optimal power Flow (OPF) model. Additionally, an Immune Comprehensive Learning Particle Swarm Optimization (ICLPSO) algorithm is used to optimize and determine the reactive power output of energy storage systems and electric vehicles. Finally, taking the voltage issues of the IEEE 162-node distribution network with distributed PV as an example, the effectiveness of the proposed management strategy is verified.

关键词： Reactive power Vehicle-to-grid power quality Distribution networks power system harmonics Harmonic analysis Active distribution networks Particle swarm optimization Energy storage Load flow

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Optimal Aggregation Approach for Virtual power Plant Considering Network Reconfiguration

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Journal of Modern power systems and Clean Energy 2021年第3期9卷 495-501页

作者： Long Wang Wenchuan Wu Qiuyu Lu Yinguo Yang the Tsinghua-Berkeley Shenzhen Institute(TBSI) Tsinghua Shenzhen International Graduate School(Tsinghua SIGS)Tsinghua UniversityShenzhenChina the State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijingChina the Electric Power Control Center of Guangdong Power Grid Co. Ltd.China Southern Power GridGuangzhouChina

As an aggregator of distributed energy resources(DERs) such as distributed generator, energy storage, and load,the virtual power plant(VPP) enables these small DERs participating in system operation. One of the critical issues is how to aggregate DERs to form VPPs appropriately. To improve the controllability and reduce the operation cost of VPP, the complementary DERs with close electrical distances should be aggregated in the same VPP. In this paper, it is formulated as an optimal network partition model for minimizing the voltage deviation inside VPPs and the fluctuation of injection power at the point of common coupling(PCC). A new convex formulation of network reconfiguration strategy is incorporated in this approach which can guarantee the components of the same VPP connected and further improve the performance of *** proposed approach is cast as an instance of mixed-integer linear programming(MILP) and can be effectively ***, a scenario reduction method is developed to reduce the computation burden based on the k-shape algorithm. Numerical tests on the 13-bus and 70-bus distribution networks justify the effectiveness of the proposed approach.

关键词： Virtual power plant distributed energy resource network partition network reconfiguration

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Modeling and Switching simulation of Oil-gas Dual-power System on Account of Association Algorithm 22

Modeling and Switching Simulation of Oil-gas Dual-power Syst...

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7th International Conference on Cyber Security and Information Engineering, ICCSIE 2022

作者： Qiu, Yinfeng Li, Guoxiang Tian, Hao Wei, Che Liu, Guofeng Wu, Zhaoyun CNOOC Research Institute Co. Ltd Chaoyang District Beijing Chaoyang100028 China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing100084 China

ISBN: (纸本)9781450397414

control theory of complex system is an important subject in the development of automatic control theory cntrol system simulation is one of its research directions. The results of this study have been implemented on DNNSS simulation subsystem of multi-model complex nonlinear network. In this paper, the multi-model method is introduced to make the concept of the discontinuous right end of the simulation complex nonlinear system clear intuitive analysis applicability and description ability. This paper studies a series of theories and knowledge about the modeling and switching simulation of oil and gas dual-power system based on the association algorithm, reveals the concept and definition of the algorithm based on the association, and carries out the disposal of application cases of the modeling and switching simulation of oil and gas dual-power system. By oil and gas field power supply system for analysis of effect of oil and gas dual power supply system based on correlation algorithm to study the modeling and simulation of switching, test result shows that oil and gas dual power supply system based on correlation algorithm modeling and simulation in oil and gas field double switching power supply system in the agility, practicability, intelligent and robust reached 82.41%, 90.01%, 94.65%, 98.28%. © 2022 ACM.

关键词： Gases

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