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11th China International Conference on Electricity Distribution, CICED 2024

作者： Qi, Houyu Zhang, Haibo Huang, Songtao Shang, Guozheng Duan, Rui North China Electric Power University Beijing State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China State Grid Inner Mongolia Eastern Electric Power Co. Ltd. Dispatching Control Center Hohhot010010 China The State Key Lab of New Energy Power System Department of Electrical Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9798350368345

Existing energy storage operation strategies take renewable energy unit consumption as the main goal, and often operate in conjunction with renewable energy projects, resulting in low energy storage utilization rate and insufficient driving force for energy storage operators to develop independent energy storage. However, with the implementation of independent energy storage operation support policies, the regional peak shaving service market gradually expands to include energy storage. Energy storage can have a positive impact on the economy of the power system as well as its utilization rate. According to the historical East Inner Mongolia power Grid operational data, this paper established the annual chronological operation simulation model of peak shaving market participation by energy storage. By analyzing and summarizing the results of energy storage operation state obtained from the annual operation simulation, the energy storage operation strategy of taking part in peak shaving market based on system supply and demand margin was proposed. The two charge and two discharge or three charge and two discharge strategy, which are the most common operation modes of operation simulation, are compared with the proposed operation strategy. It is evident that energy storage's involvement in system peak shaving can lessen thermal units' peak shaving pressure, enhance the benefits of energy storage as a market participant for auxiliary services and the system's overall efficiency in terms of electricity consumption. © 2024 IEEE.

关键词： Charge storage

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A Classification and Recognition Model of Distributed Resources Based on Feature Extraction

A Classification and Recognition Model of Distributed Resour...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Zhu, Yu Yang, Le Yang, Xizai Lu, Jiaxin Wang, Yuqing Wang, Fei State Grid Shaanxi Electric Power Co. Ltd. Information and Communication Company Information and Communication Technology R & D Center Xi'an710048 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

ISBN: (纸本)9781665471640

The extensive integration of distributed resources such as distributed photovoltaic system and electric vehicles enhances the uncertainty of the load side greatly. Corresponding demand response strategies can be developed for different distributed resource types and characteristics of households' load, which is of great significance for new energy consumption and stable operation of the power system. However, only the net load power of households can be obtained through smart meters instead of the distributed resource types of households. Based on this, a distributed resource classification and identification model based on feature extraction is proposed in this paper, and effectively solves the problems of low accuracy and strong data dependence of existing recognition methods. Firstly, a generalized weather class generation algorithm based on clustering and voting is established, which is used to determine the weather class of each day to provide a basis for the following feature extraction. Then, based on the typical net load profiles under different generalized weather classes, a two-stage feature extraction and a classification identification model based on integrated learning algorithms are established to identify whether a user contains DPVS and EV, respectively. Finally, based on the category labels of each user for each stage, the final classification of the category to which the user belongs is carried out. Simulation experiments show that the recognition model built using the typical features extracted in the paper has good recognition accuracy. © 2023 IEEE.

关键词： classification and recognition Distributed photovoltaics system electric vehicles ensemble learning feature extraction

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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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2023 IEEE Sustainable power and Energy Conference, iSPEC 2023

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

ISBN: (纸本)9798350322699

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. © 2023 IEEE.

关键词： control hardware in loop power system analysis real-time simulation wind turbine

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Clustering and Equivalent Modeling Method for Direct-Drive Wind Farms Based on Particle Swarm Neural Network 4

Clustering and Equivalent Modeling Method for Direct-Drive W...

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4th International Conference on Energy, power and Electrical Engineering, EPEE 2024

作者： Tu, Liang Huang, Libin Guo, Haiping Hu, Binjiang Zhang, Jingyue Luo, Hui State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid 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 Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China

ISBN: (纸本)9798331518066

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 62% to 67% and reduces the steady-state error in fault current simulation by 0.8% to 1.9%. © 2024 IEEE.

关键词： Windmill

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The Regional Distributed PV Ultra-short-term power Forecasting Based on Static-dynamic Spatiotemporal Correlation Modeling

The Regional Distributed PV Ultra-short-term Power Forecasti...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Zhu, Yu Yang, Le Yang, Xizai Xu, Fei Su, Zinuo Zhen, Zhao Information and Communication Technology R & D Center State Grid Shaanxi Electric Power Co. Ltd. Information and Communication Company Xi'an710048 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

ISBN: (纸本)9781665471640

Accurate prediction of distributed photovoltaic power can help the arrange the scheduling plan reasonably to Maintain the safe and stable operation of the distribution network. However, distributed photovoltaic power generation exists lack of meteorological data and real-time monitoring data, the distribution range is large and dispersed, the installed capacity is relatively small and so on, the centralized photovoltaic power prediction method is not applicable to distributed photovoltaic power prediction, so it is necessary to carry out a regional power prediction study for distributed photovoltaic. Distributed PV is located in close proximity, in a similar external environment, and the power output between stations has strong spatial and temporal correlation, which can be captured to improve the accuracy of power forecasting. To this end, a regional distributed PV power prediction model based on static-dynamic spatiotemporal correlation modeling is proposed. The k-means is firstly used to cluster the regional distributed photovoltaic sites into several sub-regions, according to the geographical location and output characteristics that reflect the long-term static correlation between power stations. Then, graph convolutional neural network are applied to capture the dynamic correlation between subregions according to the power. In this way, the static and dynamic correlation are effectively considered in power prediction modeling, and the prediction accuracy has been improved. The superiority of the proposed method is verified by a real world dataset in China. © 2023 IEEE.

关键词： distributed photovoltaic graph convolution Regional power prediction

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A fast power control method based on high-speed communication for the continuous co-phase traction power system

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iEnergy 2022年第4期1卷 395-399页

作者： Mingrui Li Yingdong Wei Yunzhi Lin Xiaoqian Li Chao Lu Changle Wang Zhanhe Li State Key Laboratory of Power System Operation and Control Department of Electrical EngineeringTsinghua UniversityBeijing 100084China China Railway Electrification Engineering Group Co. Ltd.Beijing 100036China

Continuous co-phase traction power system is an effective method to eliminate neutral sections and provide high quality power for both the public grid and the *** substations have the ability to provide cooperative support to each other to reduce capacity and improve system reliability.A fast power control method for substations is needed due to rapid load changes and low overload capability of the *** paper proposes a fast power control method based on high-speed communication between substations,with additional transient power control to significantly improve the dynamic response of the system.

关键词： Continuous co-phase traction power system cooperative power control dynamic response high-speed communication

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Active Support Performance Test of Grid-connected Photovoltaic system Based on Grid-forming control 3

Active Support Performance Test of Grid-connected Photovolta...

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3rd International Conference on Intelligent power and systems, ICIPS 2023

作者： Xi, Xinze Hu, Yun Xing, Chao Guo, Qi Xu, Shoudong Tu, Liang He, Peng Zhu, Yihua Su, Mingzhang Luo, Chao Yunnan Electric Power Research Institute Kunming China National Energy Power Grid Technology R&D Centre Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute CSG 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

ISBN: (纸本)9798350328691

With the continuous increase penetration of new energy, the integration of grid-following (GFL) converter is prone to frequency stability issue, while the utilization of grid-forming (GFM) converter with active support capability has become an inevitable trend in development. In this paper, the model of grid-connected photovoltaic system using GFL/GFM control is established. The support characteristic of GFM is compared and analyzed in different testing scenarios with GFL as the reference: (1) Small disturbance test (2) Large disturbance test (3) Island capability test. Finally, the active support performance of the system is quantitatively analyzed based on corresponding evaluation indexes. ©2023 IEEE.

关键词： power converters

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Simulation Research on Primary Frequency Regulation Coordination control Strategy of Hybrid Wind-PV-ES power Station Based on AGC 12

Simulation Research on Primary Frequency Regulation Coordina...

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12th Annual Meeting of CSEE Study Committee of HVDC and power Electronics, HVDC 2023

作者： Li, Shengnan Hu, Yun He, Xin Zhu, Yihua He, Tingyi Luo, Chao Deng, Can Zeng, Guanming Su, Mingzhang Yunnan Electric Power Research Institute Kunming China National Energy Power Grid Technology R&D Centre Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute CSG 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 GridGuangzhou China

ISBN: (纸本)9781839539848

With the increase of wind and solar renewable energy penetration in power system, the frequency control ability of power system completely depending on traditional power supply has weakened. This actuality requires that renewable energy stations should be equipped with a certain amount of energy storage to improve the primary frequency control ability. This paper considers the fast response ability and flexible control of energy storage for both charging and discharging, as well as its unique frequency response characteristics. Firstly, the control characteristics of the primary frequency regulation of the hybrid wind-solar-storage power station(Wind-PV-ES) are analyzed. By improving the automatic generation control(AGC) strategy of the hybrid Wind-PV-ES power station, a coordinated control strategy for the primary frequency regulation of the hybrid Wind-PV-ES power station is proposed for different frequency ranges based on the improved AGC control. After the primary frequency regulation action, the energy storage output is given priority control before wind and solar. When the energy storage active margin is insufficient, use the frequency regulation capacity of wind and photovoltaic power system to improve the primary frequency regulation capacity of the hybrid Wind-PV-ES power station. The control strategy proposed in this paper can improve the primary frequency regulation capability of renewable energy station. Finally, the paper verifies the effectiveness of the proposed control strategy through simulation. © The Institution of Engineering & Technology 2023.

关键词： Energy storage

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The Simulation Analysis and Countermeasures of LCC-HVDC Complementary Resonance 5

The Simulation Analysis and Countermeasures of LCC-HVDC Comp...

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2023 5th International Conference on Energy systems and Electrical power, ICESEP 2023

作者： Su, Yinsheng Liu, Zhijiang Chen, Deyang Xie, Huifan Lin, Xuehua Liu, Hongtao Power Dispatching Control Center of China Southern Power Grid Guangdong Guangzhou510663 China Electric Power Research Institute of China Southern Power Grid Guangdong Guangzhou510663 China State Key Laboratory of DC Transmission Technology Guangdong Guangzhou510663 China Key Laboratory of Guangdong New Energy Power System Intelligent Operation and Control Enterprise Guangdong Guangzhou510663 China

With the advancement of HVDC technology, the AC/DC hybrid grid has gradually emerged. The interaction and influence between AC and DC have become increasingly prominent, with the complementary resonance problem between AC and DC emerging as a hot research topic. In this paper, firstly, the phenomenon of LCC-HVDC complementary resonance is analyzed in both time and frequency domains, and a method for setting the saturation curve of the converter transformer in time domain simulation is proposed. Subsequently, targeting the actual LCC-HVDC complementary resonance, a hardware-in-loop simulation platform is constructed based on the actual HVDC control and protection equipment, and the actual field complementary resonance is reproduced. By simulating different operation modes, the operation range with a low risk of complementary resonance is determined. The influencing factors of complementary resonance are discussed and analyzed. Finally, through real-time simulation, the results show that the simulation method proposed in this article for setting the saturation curve of the converter transformer can accurately reflect the complementary resonance phenomenon between AC and DC caused by the saturation of the converter transformer. The countermeasures proposed in this article can effectively remove the complementary resonance between AC and DC and have been applied to the operation and control of actual power grids. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Time domain analysis

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Research on Modeling of Current Transformer for Travelling Wave Fault Location Test 10th

Research on Modeling of Current Transformer for Travelling W...

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10th Frontier Academic Forum of Electrical Engineering, FAFEE 2022

作者： Cui, Liu Li, Shuyong Huang, Libin Guo, Qi Deng, Lijun State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou510663 China National Energy Power Grid Technology R and D Centre Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou510663 China

ISBN: (纸本)9789819934034

In order to test the travelling wave fault location devices that widely used in power system, a simulation model that can reflect the transformer characteristics of travelling waves on the transmission channel should be built. In this paper, the current transformer (CT) on the transmission channel is modelled, then the CT attenuation characteristic to travelling waves is proved by adding sine wave and square wave on the CT primary side. By using PSCAD and travelling wave fault locator examiner, a half-real time simulation environment is constituted to test the travelling wave fault locator. In PSCAD, CT is modeled by measuring parameters. Finally, amplitude frequency response characteristics of the actual CT and the CT model are compared. The result shows that simulation model in this paper reflects well on the CT high-frequency attenuation characteristic. © Beijing Paike Culture Commu. Co., Ltd. 2023.

关键词： Electric instrument transformers

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