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2024 IEEE IAS Industrial and Commercial power system Asia, I and CPS Asia 2024

作者： Yang, Baolong Yang, Ming Bu, Qiangsheng Wang, Chuanqi Zhang, Yuanhe Li, Menglin Luo, Fei Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Research Institute State Grid Jiangsu Electric Power CO. LTD. Nanjing China

ISBN: (纸本)9798350352290

Highly accurate photovoltaic (PV) power forecast technology can provide a scientific basis for grid planning to ensure safe, economical, and efficient grid operation. The investment cost for a specialized power prediction system for each PV plant is high. Consequently, a distributed PV (DPV) power forecast method based on affinity propagation (AP) clustering and transfer learning is proposed in this paper. First, the dynamic time warping (DTW) algorithm determines the similarity of power curves between DPV plants;on this basis, multiple DPV power plants in the area to be forecasted are divided into station clusters by using AP clustering;and the PV power plants in each station cluster are divided into source and target domain by transfer learning, combined with long-short term memory (LSTM) network, the power forecasting model is established, and enabling transfer of power models from source to target domain. Finally, data from 20 DPV plants in China are used to demonstrate the effectiveness of the approach. Compared to separate modeling, the proposed method reduces the average training time by 58% while maintaining the forecasting accuracy. © 2024 IEEE.

关键词： AP clustering distributed photovoltaic power plant clusters LSTM transfer learning

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HIGH-FREQUENCY OSCILLATION ANALYSIS OF WIND FARM-SIDE MMC STATION UNDER NO-LOAD CHARGING CONDITION 20

HIGH-FREQUENCY OSCILLATION ANALYSIS OF WIND FARM-SIDE MMC ST...

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20th International Conference on AC and DC power Transmission 2024, ACDC 2024

作者： Yang, Yongqing Ye, Hua Li, Guanqun Yang, Jialun Zhao, Yujing Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University 17923 Jingshi Road Jinan China State Grid Jinan Power Supply Company Jinan China

ISBN: (纸本)9781837242672

Existing research on high-frequency oscillation indicates that the high-frequency oscillation during no-load charging of modular multilevel converter (MMC) station is primarily linked to time delay and the ground capacitance of AC lines. Nevertheless, a high-frequency oscillation around 2000 Hz has been observed in Rudong high voltage direct current project even when the AC lines are not connected. Except time delay, there still exists another key factor of the high-frequency oscillation, i.e., the transformer stray capacitance. This paper delves into the interaction among the dynamics of MMC station and the transformer. And the mechanism of high-frequency oscillation under no-load charging condition is determined. Firstly, the harmonic state space (HSS) model of MMC station considering the effect of stray capacitance is established. By plotting the eigenvalue trajectory, the essentiality of taking into account stray capacitance is elucidated. Subsequently, a simplified model is obtained by neglecting the dynamics of elements with low participation in the oscillation modes. Next, the mechanism of high-frequency oscillation is clarified according to impedance characteristics. Finally, the impact of proportional gain and shear frequency on small signal stability is revealed. The correctness and accuracy are identified by electromagnetic transient simulations. © The Institution of Engineering & Technology 2024.

关键词： Eigenvalues and eigenfunctions

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Topology Identification for Distribution systems Based on Bayesian Nonparametric Model and Gaussian Mixture Ensemble Kalman Filter 9

Topology Identification for Distribution Systems Based on Ba...

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9th Asia Conference on power and Electrical Engineering, ACPEE 2024

作者： Zhang, Tingting Zhang, Wen Shandong University School of Control Science and Engineering Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Jinan China

ISBN: (纸本)9798350309638

To ensure the secure and reliable operation of active distribution systems (ADSs), it is essential to efficiently and accurately identify their time-varying topology. This paper proposes an estimation-based topology identification (TI) method for ADSs considering topology changes. The TI problem is formulated by a forecasting-aided estimation model, which is depicted by a discrete-time switching state-space model. The topology change process is described by a Bayesian nonparametric model that allows TI with limited knowledge of topology libraries. Then the Gaussian mixture ensemble Kalman filter (GM-EnKF) is employed to carry out the TI, where the underlying probability density is approximated by using Gaussian mixture model. In this case, the proposed method become capable of handling the unavoidable non-Gaussian noises in realistic distribution systems. Test results on various ADSs validates the effectiveness of the proposed GM-EnKF-based TI method on accurate and efficient topology identification. © 2024 IEEE.

关键词： Topology

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Evaluation of Multi-Temporal-Spatial Scale Adjustment Capability and Cluster Optimization Operation Method for Distribution Networks with Distributed Photovoltaics

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Energy Engineering 2024年第9期121卷 2655-2680页

作者： Jiaxin Qiao Yuchen Hao Yingqi Liao Fang Liang Jing Bian Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control&Renewable Energy TechnologyMinistry of EducationJilin132011China State Grid Jiangsu Electric Power Co. Ltd.Power Dispatch Control CenterNanjing210017China State Grid Jiangsu Electric Power Co. Ltd.Nanjing Power Supply BranchPower Dispatch Control CenterNanjing210019China

Themassive integration of high-proportioned distributed photovoltaics into distribution networks poses significant challenges to the flexible regulation capabilities of distribution *** accurately assess the flexible regulation capabilities of distribution stations,amulti-temporal and spatial scale regulation capability assessment technique is proposed for distribution station areas with distributed photovoltaics,considering different geographical locations,coverage areas,and response ***,the multi-temporal scale regulation characteristics and response capabilities of different regulation resources in distribution station areas are analyzed,and a resource regulation capability model is established to quantify the adjustable range of different regulation *** this basis,considering the limitations of line transmission capacity,a regulation capability assessment index for distribution stations is proposed to evaluate their regulation ***,considering different geographical locations and coverage areas,a comprehensive performance index based on electrical distance modularity and active power balance is established,and a cluster division method based on genetic algorithms is proposed to fully leverage the coordination and complementarity among nodes and improve the active power matching degree within ***,an economic optimization model with the objective of minimizing the economic cost of the distribution station is established,comprehensively considering the safety constraints of the distribution network and the regulation constraints of *** model can provide scientific guidance for the economic dispatch of the distribution station ***,case studies demonstrate that the proposed assessment and optimization methods effectively evaluate the regulation capabilities of distribution stations,facilitate the consumption of distributed photovoltaics,and enhance the economic efficiency of th

关键词： Distributed photovoltaic distribution station area assessment of adjustment capacity line transmission capacity economic optimization

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An Optimal Scheduling Strategy for Wind-PV and Multi-Type Energy Storage Co-Generation system 6

An Optimal Scheduling Strategy for Wind-PV and Multi-Type En...

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6th International Conference on power and Energy Applications, ICPEA 2023

作者： Ma, Huan Tian, Hao Zhang, Kunpeng Liu, Yutian Shandong Electric Power Research Institute Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350359053

Multi-type energy storage is essential for managing fluctuations in renewable energy power and increasing the consumption rate of renewable energy. In this paper, an optimal scheduling strategy for the co-generation system comprising wind power, photovoltaic power, electrical energy storage, and hydrogen energy storage is proposed. The strategy consists of a global optimization model and an application-oriented Pareto optimal solution screening methodology. The global optimization model establishes a multi-objective optimization model based on meteorological prediction information that considers the intended output power completion of the co-generation system, the remaining equivalent power of the energy storage plant, and the equivalent production of hydrogen. The NSGA-II is utilized to solve the global optimization model and obtains multiple Pareto optimal solutions. The optimal solutions are screened by applying the application-oriented Pareto optimal solution screening methodology. Finally, a co-generation plant in Shandong Province is presented to validate the effectiveness of the proposed approach in mitigating wind variability and encouraging the adoption of renewable energy sources. © 2023 IEEE.

关键词： Multiobjective optimization

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SCD File Management and Parsing Method Based on Graph Database: ∗Note: Sub-titles are not captured in Xplore and should not be used

SCD File Management and Parsing Method Based on Graph Databa...

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2023 International Conference on power system Technology, powerCon 2023

作者： Gu, Qianshuo Cong, Wei Chai, Qingfa Wang, Ruimei Wang, Feng Li, Yiquan Shangdong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China Guangdong Power Grid Co. Ltd. Power Dispatching and Control Center Guangzhou China

ISBN: (纸本)9798350300222

Aiming at the low level of SCD file management in smart substation, a method of SCD file management and analysis based on graph database is proposed. First, the file structure and function model of SCD under the SCL model are analyzed, and analyzed into DOM structure tree. Then, the SCD knowledge graph was constructed, and the Neo4j graph database was used for storage, management and parsing. Python was used to implement the method, and the visibility and query performance of the method were tested. The results show that this method is helpful to the management of SCD files and can improve the efficiency of operation and maintenance staff. © 2023 IEEE.

关键词： Graph Databases

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Fault Identification of Secondary Equipment in the intelligent Substation 2

Fault Identification of Secondary Equipment in the Intellige...

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2022 2nd International Conference on intelligent power and systems, ICIPS 2022

作者： Huang, Jiayin Zhang, Chi Ding, Xiaobing Peng, Ye Gao, Honghui Gao, Zhanjun Liu, Zhao CSG Power Dispatching and Control Center China Southern Power Grid Guangzhou China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

With the continuous expansion of the scale of the power system and the increasingly complex structure, the intelligent construction of the power grid continues to deepen and the construction scale of smart substations as the core part of the smart grid is also expanding. At present, higher requirements are put forward for the operation and maintenance of the secondary system of the smart substation. Therefore, the fault diagnosis of the secondary system of smart substations has become an important research direction for smart grid construction. This paper proposes a secondary system fault location method for smart substations. The method uses a search algorithm based on an adjacency list and skyline query to determine the fault area. This scheme is applicable when the fault information is complete or not. Compared with the method of using the neural network to directly locate the fault of the whole network components, the training scale of the neural network is reduced and the "uncritical"feature quantity is reduced for the fault location. It highlights the value of "key"feature quantities and effectively improves the accuracy of the fault location. © Published under licence by IOP Publishing Ltd.

关键词： Location

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Current Transformer Polarity Judgment Based on Line Parameter Fitting with Closing Transient Current 17th

Current Transformer Polarity Judgment Based on Line Paramete...

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Gu, Qianshuo Cong, Wei Wang, Feng Li, Yiquan Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan250000 China Power Dispatching Control Center of Guangdong Power Grid Co. Ltd. Guangzhou China

ISBN: (纸本)9789819903566

In order to solve the problem of current transformer (CT) reverse connection in power system, this paper proposes a method to judge CT polarity by fitting line parameters with closing transient current. Firstly, the relationship between line parameters and current is studied by deducing the mathematical form of closing current. By using the least square method to fit the sampling values of closing current, the line parameters are obtained. Compare the fitted line parameters with the actual line parameters. If the fitting result is consistent with the actual result, the CT polarity is correct;If the fitting result is contrary to the actual result, the CT polarity is reverse. In order to improve the accuracy of least square fitting, this paper uses matrix pencil algorithm to extract waveform features and realize decoupling among line parameters. Then, the differential equation of closing current is modified, and the remaining parameters are fitted and solved by the least square method. Finally, considering different operating environment and closing angle, the above algorithm is simulated by PSCAD and MATLAB. The simulation results show that when some sampling points are offset, the line parameters fitted by the matrix pencil algorithm are still consistent with the actual parameters. Therefore, the matrix pencil algorithm effectively improves the stability of the method and meets the needs of practical engineering. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Differential equations

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An equivalent modeling method for integrated water-wind-solar systems based on sparrow search algorithm

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Energy Informatics 2025年第1期8卷 1-16页

作者： Lu, Yuanhong Zhang, Jie Zhang, Jingyue Huang, Libin Guo, Haiping Hu, Binjiang Guo, Tianyu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou510663 China National Energy Power Grid Technology R & 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

In the context of extensive integration of renewable energy sources into the electrical grid, the grid's fault transient behaviors have undergone significant changes. However, conventional single-unit equivalent models fail to accurately capture the fault transient responses of combined wind-solar-hydro power stations and often require substantial computational resources, leading to reduced simulation efficiency. This study proposes a cluster-based equivalent modeling approach for hybrid wind-solar-hydro power plants using the Sparrow Search Algorithm. key factors influencing fault characteristics, including the distance to the Point of Common Coupling, DC-side current-limiting measures, irradiance levels, water flow rates, wind speeds, and reactive power at the outlet, are identified and used to construct a transient model. Euclidean distances are computed for these factors, and initial clustering centers for wind turbines are determined using an improved max–min distance technique. These factors and clustering centers serve as the training dataset to establish the clustering equivalent model. Simulation results, conducted on the MATLAB2022 platform, demonstrate that the SSA-based model outperforms the single-unit equivalent model by over 150 times in terms of accuracy. Additionally, the SSA-based model achieves a delay time, defined as the time required to compute the system's transient response after a fault, of less than 5 ms, which is less than one-twentieth of the delay time of the single-unit equivalent model. These improvements highlight the model's ability to accurately capture dynamic power responses under various disturbances, making it highly suitable for real-time applications in hybrid renewable energy systems. © The Author(s) 2025.

关键词： MATLAB

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Mid-Iong Term Photovoltaic power Forecasting Method Considering Periodicity Characterization

Mid-Iong Term Photovoltaic Power Forecasting Method Consider...

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2024 IEEE IAS Industrial and Commercial power system Asia, I and CPS Asia 2024

作者： Zhuo, Minyi Yang, Ming Li, Peng Sun, Yi Liu, Rui Zheng, Zhijie Shi, Bingke Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China Economic & Technology Research Institute State Grid Shandong Electric Power Company Power Grid Planning Research Department Jinan China

ISBN: (纸本)9798350352290

Accurate forecasting of mid-long term photovoltaic power plays a key role in site planning, operation scheduling and mid-long term plan development for new power system. Meanwhile, the uncertainty in solar power generation is a key factor influencing the precision of its forecasting. This paper proposes a mid-long term PV power forecasting method considering periodic characterization, which first obtains the key meteorological factors through the maximal information coefficient, and extracts the timing features through ARIMA model for mid-long term PV power periodic component prediction. Then the results obtained from above are inputted to the LSTM model, which is trained using raw data to obtain the final PV power prediction results with high accuracy. Validation is carried out through the model's RMSE, MAE and MAPE metrics and the comparison of the model's forecasting results with traditional GRU model. © 2024 IEEE.

关键词： Solar power generation

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