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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： He, Ye Zhu, Yukun You, Guangzeng Zhang, Jingpei Guo, Hengdao Sun, Peng Yunnan Power Grid Co. Ltd. Power Planning and Research Center Kunming China China Southern Power Grid State Key Laboratory of Hvdc Electric Power Research Institute Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781728171494

The ±500kV Yunnan Yongren-Funing DC transmission project is the first HVDC project whose starting point and landing point are both in the same province. It is located in a weak AC system, the transmission line is short and the smoothing reactor has a low inductance value. When a short-circuit fault occurs outside the DC line protection zone, the DC line traveling wave protection (WFPDL) is prone to misoperation and does not meet the requirements of protection reliability. This article analyzes and accurately locates the defects of the original WFPDL strategy, and proposes a scientific and reasonable optimization scheme for the threshold of voltage mutation du/dt. After RTDS simulation analysis and verification, it shows that the scheme not only improves the reliability of WFPDL effectively, but also meets the requirements for selectivity, speediness and sensitivity, and does not affect the operation characteristic of voltage mutation protection 27du/dt, which is also related to the threshold of du/dt, all the DC line protections can still cooperate correctly. The optimization scheme is permanently implemented on site, and a number of artificial short-circuit tests have been carried out within and outside the DC line protection zone. The results show that in the transient process of faults, the control and protection system of HVDC, travelling wave fault location devices, stability control devices and 3 STATCOMs of inverter station can all respond correctly, their functions and dynamic performance meet the system requirements. © 2021 IEEE.

关键词： Reliability analysis

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Refined power modeling method of ultra-short-term wind power cluster based on power reverse deduction

Refined power modeling method of ultra-short-term wind power...

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

作者： Yupeng Sun Mao Yang Chenglian Ma Yunpeng Jia Guozhong Fang Key Laboratory of Modern Power System Simulation and Control & Renewable EnergyTechnology Ministry of Education Northeast Electric Power University Jilin China Northeast Electric Power University Jilin China Jilin Power Supply Company of State Grid Jilin Electric Power Co. Ltd. Jilin China State Grid Northeast China Branch Shenyang China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

The accurate prediction of wind power provides a guarantee for the safety and stability of the power system and the power market trading. The existing wind power prediction methods mainly focus on the depth of the model, and improve the accuracy of the prediction by constantly improving the model and deepening the model, but they ignore the limitations of the model itself. In this paper, a fine modeling method for wind power is proposed, and the prediction accuracy is improved by horizontal expansion of the model. Firstly, the power output class and its NWP characteristics are determined by power reverse deduction, and the power output class is divided by the degraded and simplified U-net model. Then, Non-stationary Transformer (NSTransformer) is introduced to model each output level separately to get the predicted power. Finally, the proposed method is applied to a wind farm cluster in China. The accuracy of the proposed method is higher than other methods in ultra-short-term prediction, which proves the reliability and effectiveness of the proposed method.

关键词： Accuracy system integration Predictive models Wind power generation power system stability Wind farms Transformers Stability analysis Safety Thermal stability

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

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

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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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Research on Digital Twin Modeling Method for Combustion Process Based on Model Reduction

SSRN

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SSRN 2024年

作者： Zhang, Yue Li, Jiale Department of Automation North China Electric Power University Hebei Baoding071000 China Hebei Technology Innovation Center of Simulation & Optimized Control for Power Generation North China Electric Power University China Baoding Key Laboratory of State Detection and Optimization Regulation for Integrated Energy System China

In response to the difficulty in obtaining combustion information within coal-fired boiler furnaces, a method is proposed in this study to improve the reduced-order model using clustering segmentation. This approach aims to rapidly predict the combustion temperature field inside the furnace by establishing a twin model of the combustion temperature field. Initially, a finite element method is employed to analyze the combustion system of a 600MW subcritical boiler under various operating conditions. Subsequently, cross-sectional data from burner nozzle positions at each operating condition are extracted. These data are subjected to Proper Orthogonal Decomposition (POD), Spectral Proper Orthogonal Decomposition (SPOD), and Wavelet Transform-POD (WT-POD) for dimensionality reduction to obtain modal data. Comparative analyses are conducted on the modal data obtained from different methods. Furthermore, based on modal data analysis, a Support Vector Machine (SVM) regression model is selected to reconstruct the temperature field. The average absolute error of the reconstructed temperature fields from three methods under different operating conditions is then compared. Finally, the model is refined using clustering segmentation, resulting in an improvement of approximately 0.6% in reconstruction accuracy. This enhancement demonstrates that the clustered POD-SVR-GA model achieves higher accuracy in reconstructing combustion temperature fields after clustering-based improvements. © 2024, The Authors. All rights reserved.

关键词： Support vector machines

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FPGA-based Adaptive Variable Step MPPT Real Time simulation for Photovoltaic systems

FPGA-based Adaptive Variable Step MPPT Real Time Simulation ...

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2020 International Conference on Smart Grid and Energy Engineering, SGEE 2020

作者： He, Ruxun Wang, Shouxiang Zhang, Chunyu Ma, Qi Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin300072 China State Grid Tianjin Electric Power Company Tianjin300010 China

In order to obtain more output power, maximum power point tracking (MPPT) control technology is usually designed to track the maximum power of photovoltaic (PV) array. The traditional power disturbance observation method tends to cause power oscillation loss, so an adaptive variable step algorithm is presented to balance the tracking accuracy and speed of PV system. Different from off-line simulation, the overall model is built on FPGA to complete the real time digital realization of MPPT control for PV system. Finally, the model is simulated and verified by ModelSim software. The experimental results show that the system can track the maximum power more quickly and accurately in real time. © Published under licence by IOP Publishing Ltd.

关键词： Field programmable gate arrays (FPGA)

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Conflict Mechanism Analysis Method for Electric Vehicles Participating in Multiple Types of power Grid Ancillary Services

Conflict Mechanism Analysis Method for Electric Vehicles Par...

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International Conference on power system Technology (powerCON)

作者： Yinjuan Xue Qifang Chen Haiqing Cai Mingchao Xia Haohan Gu School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of HVDC Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Electric Power Research Institute China Southern Power Grid Guangzhou China

As the high-quality flexible resource of the grid, electric vehicles (EVs) can provide multiple auxiliary services for the grid at the same time. However, due to the one-way charging and discharging of EVs, as well as the limitation of power and capacity, which may cause availability conflicts when EVs participate in different auxiliary services simultaneously. This paper focuses on the analysis of the conflict mechanism of EVs participating in the secondary frequency regulation and peak shaving ancillary services at the same time. The impact mechanism between different auxiliary services in this conflict mode is revealed from the two aspects of limit conflict and charging and discharging instruction conflict, and the results of availability conflict of the two types of auxiliary services are verified and analyzed through simulation examples.

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

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

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Intelligent power and systems (ICIPS), International Conference on

作者： Xinze Xi Yun Hu Chao Xing Qi Guo Shoudong Xu Liang Tu Peng He Yihua Zhu Mingzhang Su Chao Luo 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

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.

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Multi-Objective Hybrid Energy Storage Optimization Configuration Model for Reducing Thermal power Frequency Modulation Loss

Multi-Objective Hybrid Energy Storage Optimization Configura...

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International Conference on power system Technology (powerCON)

作者： JunHui Li ZhenZhuo Zhao ZhiQiang Zhao HaoJun Liu CuiPing Li Zhi Li CaiQi Jia XingXu Zhu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China State Grid Hami Power Supply Company Hami City Xinjiang Uygur Autonomous Region China

The TPU (Thermal power Unit) equipped with HESS (Hybrid Energy Storage system) can effectively increase of FM (Frequency Modulation) performance of the unit and decrease the FM loss of the thermal power unit. The difficulty of rational allocation of ES (Energy Storage) is how to improve the FM performance of TPU and reduce the life cycle cost of ES. Therefore, the paper establishes a multi-objective hybrid energy storage optimization configuration model aimed at reducing the FM loss of thermal power. Firstly, a double-layer control policy of thermal power-hybrid energy storage is proposed. The first layer is the thermal power-hybrid energy storage AGC instruction allocation strategy based on EMD (Empirical Mode Decomposition). The second layer is a hybrid energy storage control strategy with flywheel ES priority action and lithium battery second response. Then, a multi-objective optimal configuration model considering the difference between life cycle cost and benefit and AGC comprehensive evaluation index Kp is established. It uses the multi-objective PSO (Particle Swarm Optimization) algorithm based on TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) to solve the model, which can avoid contingency of traditional multi-objective PSO in determining optimum solution in the Pareto solution set. Finally, based on the simulation analysis of power plant operation data in North China, the results verify the availability and feasibility of the established model.

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MODELING METHOD OF OPLC THERMAL CIRCUIT MODEL BASED ON SUPERPOSITION PRINCIPLE 10

MODELING METHOD OF OPLC THERMAL CIRCUIT MODEL BASED ON SUPER...

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10th Renewable power Generation Conference, RPG 2021

作者： Hu, Bo Wang, He Zhou, Guiping Xu, Xiangsheng State Grid Liaoning Electric Power Co. Ltd. Shenyang China Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781839536069

Optical fiber composite low-voltage cable which combines optical fiber and power cable organically plays an important role in the construction of smart grid and the development of energy internet. The change of temperature impacts the working state of the OPLC and the precision of parameter measurement. Thus, the establishment of the OPLC thermal circuit model has important practical significance. Focusing on the attributes of different kinds and various constructions of the OPLC, this paper proposes an OPLC modeling method based on the superposition principle. Firstly, the asymmetric OPLC is equivalent to several symmetric sub-models, and then each model is superimposed by superposition principle. Secondly, the particle swarm algorithm is utilized to realize the model boundary distinguishing identification, improve the accuracy of the parameters, acquire a precise thermal circuit model, and then realize the accurate calculation of temperature at different positions of OPLC. This paper establishes an OPLC thermal circuit model based on the four-cable core OPLC and proves the effectiveness of the method through simulation analysis and experimental verification. © The Institution of Engineering and Technology.

关键词： Optical fibers

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Adaptability Study on Out-of-Step Separation Devices of Complex Multiinfeed AC/ DC power systems

Adaptability Study on Out-of-Step Separation Devices of Comp...

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2021 International Conference on power system Technology, powerCON 2021

作者： Chen, Yong Chang, Dongxu Zhu, Yihua Zhu, Yukun Guo, Hengdao Li, Shengnan Electric Power Research Institute Ltd. of Yunnan Power Grid Co. KunMing China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China

ISBN: (纸本)9781665407373

The power flow distribution of the GuangxiGuangdong AC transmission section (GX-GD section) has changed greatly as Kunliulong and Lugaozhao three-terminal HVDC projects have been put into operation, and it is necessary to study on the adaptability of out-of-step separation devices. Based on the real primary system, an equivalent system model is proposed in this paper which can accurately locate the oscillation center and calculate the minimum voltage at the measuring point. Dynamic real-time simulation is carried out for various types and different principles of out-of-step separation devices. Typical problems such as unreliable out-of-step locking criterion in the fault process and device refusing to move when the oscillation center is located at the device installation point are found and solved At the same time, based on the power grid panoramic simulation test technology and the actual configuration of out-of-step separation devices, the problems in the coordination of out-of-step devices near the GX-GD section are comprehensively studied, and the suggestions of putting the wide area out-of-step separation system into operation as soon as possible are put forward. The improvement and optimization measures proposed in this paper have been applied in the real system. © 2021 IEEE.

关键词： Electric load flow

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