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energy, power and Electrical Engineering (EPEE), International Conference on

作者： Liang Tu Libin Huang Haiping Guo Binjiang Hu Jingyue Zhang Hui Luo China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&D Centre China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Guangzhou China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

In the realm of large-scale integration of wind farms or clusters into power grids, the fault transient characteristics of these grids have experienced significant transformations. Unfortunately, the prevalent single-machine equivalent models are inadequate in accurately depicting the fault transient behavior of wind farms or clusters. Moreover, their simulation computations are exceedingly intensive, resulting in suboptimal simulation efficiency. To address these challenges, this paper introduces a clustering and equivalent modeling approach tailored for direct-drive wind farms, leveraging the capabilities of a particle swarm neural network. Initially, a transient model for direct-drive wind turbines is formulated, and fault characteristic influence factors are established through theoretical analysis. These factors encompass the distance between the wind turbine and the point of common coupling (PCC), the implementation of DC-side current limiting measures, wind speed, and reactive power at the outlet. Following this, the Euclidean distance of the influence factor set is computed, and the initial cluster centers of wind turbines are derived using an enhanced max-min distance method. Ultimately, an equivalent clustering model is formulated by utilizing the influence factors and initial cluster centers as the training set. simulation outcomes reveal that, in comparison to the single-machine equivalent model, this method enhances simulation efficiency by a range of ${6 2 \%}$ to ${6 7 \%}$ and reduces the steady-state error in fault current simulation by ${0 . 8 \%}$ to ${1 . 9 \%}$.

关键词： Training Computational modeling Wind speed Current measurement Wind farms Data models Wind turbines Steady-state Transient analysis Particle swarm optimization

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Reliability Evaluation of a Regional Integrated energy system Based on Complex Network Theory

Reliability Evaluation of a Regional Integrated Energy Syste...

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2021 IEEE Sustainable power and energy Conference, iSPEC 2021

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

ISBN: (纸本)9781665414395

Most of the methods currently used to evaluate the reliability of integrated energy supply mainly consider such systems on a microgrid scale and focus on the effects of interactions among various energy carriers on the overall energy supply reliability of the system. As a result, it is difficult to analyze the system reliability in terms of its topology. Therefore, this paper proposes an approach for evaluating the reliability of a regional integrated energy system based on complex network theory. First, the feasibility of complex network theory application was analyzed based on the structural framework of the regional integrated energy system. Then, a weighted complex network model containing network characteristics was constructed by improving the 'distance' parameter in the complex network theory. Employing this model enabled the proposal of reliability evaluation indices, including nodes and the entire system, from the perspective of the system network topology. Finally, the effectiveness and applicability of the developed method were verified by constructing a test system. The application of complex network theory for reliability evaluations of regional integrated energy systems described in this paper provides guidance for planning and constructing future systems at the level of topology reliability. © 2021 IEEE.

关键词： Complex networks

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Design and Implementation of a Cross-Platform Real-Time power system simulation Software for the New power system

Design and Implementation of a Cross-Platform Real-Time Powe...

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Intelligent power and systems (ICIPS), International Conference on

作者： Ying Huang Yuanhong Lu Jingyue Zhang Jie Zhan Yanjun Zhao Yufeng Hu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou 510663 China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou 510663 China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou 510663 China Southern Power Grid Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou China

ISBN: (数字)9798331532765

ISBN: (纸本)9798331532772

With the rapid increase in renewable energy installation nodes and the substantial enhancement of switching frequencies in the new power system, this paper proposes a design scheme for a cloud simulation software that employs the Latency Insertion Method (LIM) to decompose large-scale new power system models into several subsystems, enabling multi-platform integrated parallel computing. The self-developed platform meets the demands of ultra-large simulation scales, ultra-small simulation time steps, and massive simulation computations in power systems. Experimental results demonstrate that the accelerated simulation technology, which integrates model segmentation using LIM with multi-core parallel execution, can enhance the simulation speed by up to 858 times while maintaining simulation accuracy. This significantly improves simulation efficiency and is suitable for large-scale simulations of new power systems.

关键词： renewable energy sources Accuracy Computational modeling Switching frequency Software algorithms Random access memory Parallel processing Software Real-time systems power systems

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Boosting Conversion Efficiency by Bandgap Engineering of Eco-Friendly Antimony Trisulfide Indoor Photovoltaics

SSRN

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SSRN 2024年

作者： Cao, Yu Li, Qiang Zhou, Jing Yu, Xiaoming Yu, Xuan Wang, Sanlong Li, Sen Pang, Jinbo Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China School of Electrical Engineering School of Chemical Engineering Northeast Electric Power University Jilin132012 China School of Marine Engineering Equipment Zhejiang Ocean University Zhejiang Zhoushan316022 China Zhengzhou University of Light Industry China University of Jinan Shandong Jinan250022 China

With the exponential growth of the Internet of Things (IoT), indoor photovoltaics (IPVs) drawing heightened interest due to their adaptability to indoor environments. The Photovoltaic Conversion Efficiency (PCE) of IPV cells is critically dependent on their ability to match the indoor spectrum with the device's response characteristics. In this realm, Antimony Trisulfide (Sb2S3) emerges as a promising candidate for low-light applications. Our study focuses on the design and optimization of Sb2S3 thin-film IPV cells, aiming to refine both the device structure and its photoelectric performance for effective indoor light harvesting. In a strategic shift from conventional CdS materials, we utilized SnO2 as the electron transport layer (ETL) in Sb2S3 IPV cells. This substitution notably enhanced the short-wave response, elevating the spectral response from 45% to 80% at 400 nm. Additionally, we introduced a bandgap-tunable ZnOS buffer layer. This innovation proved instrumental in rectifying the band alignment mismatch between SnO2 and Sb2S3 layers, thereby optimizing interfacial electron transport properties. The resulting optimized Sb2S3 thin-film IPV cell demonstrated exceptional response characteristics across the full visible spectrum (400–750 nm) and showed notable photoelectric performance under both fluorescent lamps (FLs) and light-emitting diodes (LEDs). The device achieved a peak theoretical efficiency of 46.25% under cold white FL lighting, a testament to the optimal match between the device structure and this specific emission power spectrum. This research not only underscores the feasibility of employing antimony (Sb) -based photovoltaic technologies in indoor settings but also offers theoretical guidance for further advancements in this domain. © 2024, The Authors. All rights reserved.

关键词： Antimony compounds

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Analysis and suppression of low-frequency oscillation of photovoltaic cells with inertia control

Analysis and suppression of low-frequency oscillation of pho...

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China International Electrical and energy Conference (CIEEC)

作者： Zhenyang Wang Gangui Yan Yue Zhao Jili Peng Dazhong Wang Shuang Ren Dept. Ministry of Education Key Laboratory of Modern Power System Simulation control and Green Power Technology Northeast Electric Power University Jilin China Dept. State Grid Hengyang Power Supply Branch State Grid Hunan Power Supply Hunan China

Aiming at the problem of low-frequency oscillation when photovoltaic power generation is connected to weak AC system, a linearization model of photovoltaic power generation is established, which ignores current inner loop and considers inertia control. The influence of various leading factors on low-frequency oscillation modes of photovoltaic power generation is analyzed. Finally, a low-frequency oscillation stabilizer (SSDC) is designed according to the phase compensation method to suppress the low-frequency oscillation of power system. The results show that the increase of input power of DC capacitor and the decrease of proportional control parameters of DC voltage loop and PLL will lead to the decrease of system damping and stability. Finally, the electromagnetic simulation model of weak AC system with photovoltaic power generation is built on PSCAD/EMTDC platform, which verifies the validity of eigenvalue analysis results and SSDC.

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The HEFT Algorithm Based on Node Merging

The HEFT Algorithm Based on Node Merging

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control Engineering and Advanced Algorithms (IWCEAA), International Workshop on

作者： Ying Huang Yuanhong Lu Jie Zhang Jingyue Zhang Haiping Guo National Energy Power Grid Technology R&D Centre Guangzhou 510663 State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou 510663 Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou 510663 Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou 510663 Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou 510663 CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou 510663 Guangzhou China

ISBN: (数字)9798331528881

ISBN: (纸本)9798331528898

The task scheduling problem in power systems is complex, especially when communication costs exceed computation costs. This paper proposes an improved HEFT algorithm with a node merging mechanism, merging nodes through hierarchical traversal to assign high-communication-cost tasks to the same processor, reducing communication overhead. Experiments with 499-dimensional and 1614-dimensional matrices from the power system show that the improved algorithm reduces completion time by 5ms and 2ms, respectively, compared to standard HEFT.

关键词： Costs control engineering Processor scheduling Conferences Merging power systems Standards

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Stackelberg game-based optimal scheduling of integrated energy systems considering differences in heat demand across multi-functional areas

arXiv

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arXiv 2022年

作者： Wang, Limeng Yang, Ranran Qu, Yang Xu, Chengzhe Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Nanyang Power Supply Company Nanyang473000 China State Grid Jilin Power Supply Company Changchun130000 China

Demand-side management is very critical in China's energy systems because of its high fossil energy consumption and low system energy efficiency. A building shape factor is introduced in describing the architectural characteristics of different functional areas, which are combined with the characteristics of the energy consumed by users to investigate the features of heating load in different functional areas. A Stackelberg game-based optimal scheduling model is proposed for electro-thermal integrated energy systems, which seeks to maximize the revenue of integrated energy operator (IEO) and minimize the cost of users. Here, IEO and users are the Stackelberg game leader and followers, respectively. The leader uses real-time energy prices to guide loads to participate in demand response, while the followers make energy plans based on price feedback. Using the Karush-Kuhn-Tucker (KKT) condition and the big-M method, the model is transformed into a mixed-integer quadratic programming (MIQP) problem, which is solved by using MATLAB and CPLEX software. The results demonstrate that the proposal manages to balance the interests of IEO and users. Furthermore, the heating loads of public and residential areas can be managed separately based on the differences in energy consumption and building shape characteristics, thereby improving the system operational flexibility and promoting renewable energy consumption. © 2022, CC BY-NC-ND.

关键词： MATLAB

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Optimization control Strategy of Pumped Storage power Station Considering Cost Allocation

Optimization Control Strategy of Pumped Storage Power Statio...

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International Conference on power system technology (powerCON)

作者： Jun Yan Qinglong Song Qi Guo Lijian Xin Fancheng Meng Shuo Yu Jiaxu Zhou Cuiping Li Junhui Li Inner Mongolia Power (Group) Co. Ltd. Hohhot China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Power Dispatching and Control Branch Inner Mongolia Power (Group) Co. Ltd. Hohhot China Inner Mongolia Electric Power (Group) Co. Ltd. Inner Mongolia Electric Power Research Institute Branch Hohhot China

Against the backdrop of the increasing proportion of new energy generation, pumped storage, as the main energy storage method, face problems of low utilization and poor economic benefits. To improve the enthusiasm and overall efficiency of pumped storage power stations, this article proposes an optimized control strategy for pumped storage power stations that takes into account cost sharing. This strategy combines the PSS allocation system operation rules and control strategies to improve the utilization of PSS capacity by expanding its application scenario range, and to increase its enthusiasm for extraction by increasing rental income; This article takes a regional power grid in northwest China as an example for analysis, and the results show that the proposed strategy can effectively improve the utilization level and economic benefits of PSS.

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simulation Testing of Large-Scale Grid-Connected Wind power with energy Storage system Based on Active Support Performance Evaluation Indices

Simulation Testing of Large-Scale Grid-Connected Wind Power ...

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Electrical Engineering and Automation (IFEEA), International Forum on

作者： Yihua Zhu Yun Hu Liang Tu Mingzhang Su Chao Luo State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

This paper establishes simulation modeling for large-scale grid connected wind power with energy storage system (ESS). The conventional grid-following (GFL) based ESS is used as a reference object to test the active support performance of large-scale grid-connected wind power with grid-forming (GFM) based ESS with active support performance evaluation indices in different scenarios. (1) Small disturbance evaluation indices: The point of common coupling (PCC) frequency/voltage drop depth and recovery time. (2) Large disturbance evaluation indices: The PCC frequency/voltage drop depth and rise height after fault removal. The output active/reactive power drop depth and rise height/recovery time after fault removal. (3) Island capability evaluation indices: The PCC frequency/voltage fluctuation amplitude at the moment of switching and system stability after switching.

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Research on Wind Turbine control Hardware in Loop Real-time simulation and its Application

Research on Wind Turbine Control Hardware in Loop Real-time ...

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Sustainable power and energy Conference (iSPEC)

作者： Guanming Zeng Liang Tu Yihua Zhu Chengxiang Li Mingqun Liu Peng He State Key Laboratory of HVDC and CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid and National Energy Power Grid Technology R&D Centre and Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangdong Yunnan Power Grid Co. Ltd. Electric Power Research Institute Kunming Yunnan

With the construction of new power system, high-capacity renewable energy sources including wind power are integrated into the power system, whose transient response characteristics have a significant impact on the safe and stable operation of both renewable energy sources and power system. Real-time simulation has become an effective method to study interaction between high-capacity renewable energy sources and power system because of its high accuracy and reliability, and precise wind turbine real-time simulation model is of great significance in research mentioned above. Therefore, the wind turbine control hardware in loop (CHIL) real-time simulation method is proposed in the paper, whose feasibility and accuracy are also verified by comparing simulation data from CHIL platform and on-site testing data. It’s further used in the analysis of large-scale offshore wind farm cluster and connected power system as a practical reference case.

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