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学者姓名：李传栋
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Abstract ：
The holomorphic embedding method (HEM) is a newly developed recursive algorithm, which has the advantages of not depending on initial value selection and providing an analytical solution. However, in the actual power flow calculation of large power grids with heavy loads, HEM needs to calculate high-order power series coefficients, which is prone to numerical problems, resulting in convergence problems in power flow calculation. To improve the convergence characteristics of HEM, this paper proposes a holomorphic embedding power flow method based on dynamic power restart (DPRHEM). This method is based on the initial value flexibility of the fast and flexible holomorphic embedding power flow method (FFHEM) and incorporates the proposed dynamic update restart mechanism based on changes in power residuals to dynamically update and transmit the "germ" of the holomorphic embedding power flow method. It restricts the power series coefficients of the analytic function to low orders, so that the power state constantly approaches the target power state and ensures stable and reliable convergence during power flow calculation in large power grids with heavy loads. To a certain extent, this improves the efficiency of power flow calculation. Finally, this paper compares the performance of NRM, HEM and other restart-based HEMs on the case9 and case13659pegase systems of matpower8.0b1, as well as the actual East China regional power grid. The results show that DPRHEM has better convergence and higher computational efficiency in large power grids with heavy loads.
Keyword ：
Analytical reconstruction Analytical reconstruction Dynamic power restart Dynamic power restart Holomorphic embedding method Holomorphic embedding method
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| GB/T 7714 | Zhang, Yi , Lan, Tian , Li, Chuandong et al. A holomorphic embedding power flow method based on dynamic power restart [J]. | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS , 2025 , 171 . |
| MLA | Zhang, Yi et al. "A holomorphic embedding power flow method based on dynamic power restart" . | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 171 (2025) . |
| APA | Zhang, Yi , Lan, Tian , Li, Chuandong , Cai, Weijie , Lin, Zhiyu . A holomorphic embedding power flow method based on dynamic power restart . | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS , 2025 , 171 . |
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Abstract ：
本发明为一种交直流混联电网三相四线制的潮流计算方法与系统，其中方法包括以下步骤：获取交直流混联电网的相关数据；构建三相四线制电网矩阵模型、直流输电网络矩阵模型和电压源型逆变器矩阵模型；构建交流电网接口方程、直流电网接口方程和电压源型逆变器模型修正方程；利用交流电网接口方程和直流电网接口方程对电压源型逆变器模型修正方程进行求解，得到电压源型逆变器模型变量的修正量；将电压源型逆变器模型变量的修正量代入交流电网接口方程和直流电网接口方程，得到交流电网变量的修正量和直流电网变量的修正量；迭代求解过程，直到迭代过程中的交直流混联电网功率方程的不平衡量达到预设阈值时，停止迭代，获得最终修正量。
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| GB/T 7714 | 李传栋 , 吴作勋 , 卢玉宇 et al. 一种交直流混联电网三相四线制的潮流计算方法与系统 : CN202510201302.3[P]. | 2025-02-24 . |
| MLA | 李传栋 et al. "一种交直流混联电网三相四线制的潮流计算方法与系统" : CN202510201302.3. | 2025-02-24 . |
| APA | 李传栋 , 吴作勋 , 卢玉宇 , 肖思瑶 , 晁祥洁 , 俞智豪 et al. 一种交直流混联电网三相四线制的潮流计算方法与系统 : CN202510201302.3. | 2025-02-24 . |
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Abstract ：
-The electrical load of the iron and steel industry is significantly influenced by physical parameters and production flow. However, the current research neglects the interconnected nature of consecutive processes, resulting in imprecise simulations. To address these issues, a hybrid mechanism-and data-driven load forecasting model for the iron and steel industry is proposed. Firstly, the attenuation law of physical variables between successive processes is established based on the coupling characteristics of material and energy flow during transportation. Then, a general expression of power function is developed considering the equipment's operational characteristic. Additionally, physical quantities and characteristic parameters of the power function are fitted using Kernel-Based Extreme Learning Machine (KELM). Finally, the predictive power of different processes is combined in time domain to derive the total power curve of the iron and steel industry. Through case studies on the iron and steel industry, the accuracy and superiority of the model proposed in this paper have been verified. The error of the hybrid-driven model is reduced by 24.01 % and 16.55 % respectively compared with the mechanism-driven model and the data-driven model, highlighting its improved accuracy in capturing the enterprise's load dynamics.
Keyword ：
and data-driven and data-driven Energy flow Energy flow Material flow Material flow Mechanism Mechanism Power characteristics Power characteristics Steel enterprises Steel enterprises
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| GB/T 7714 | Zhang, Yi , Sun, Shouquan , Li, Chuandong et al. Load forecasting for iron and steel industry based on hybrid mechanism-and data-driven [J]. | ENERGY , 2025 , 328 . |
| MLA | Zhang, Yi et al. "Load forecasting for iron and steel industry based on hybrid mechanism-and data-driven" . | ENERGY 328 (2025) . |
| APA | Zhang, Yi , Sun, Shouquan , Li, Chuandong , Ou, Jieyu , Chen, Jintao . Load forecasting for iron and steel industry based on hybrid mechanism-and data-driven . | ENERGY , 2025 , 328 . |
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This paper introduces how doubly-fed wind farms can compensate for reactive power demands of the grid during low voltage ride through (LVRT) events, thereby providing voltage support. This capability significantly influences the assessment of voltage sag. To address this, this paper proposes a method for assessing voltage sags in the power grid that considers the voltage support capabilities of doubly-fed wind farm during LVRT. This method accurately characterizes the voltage support capability during LVRT by establishing a dynamic equivalent model of the wind farm. For each wind farm, the clustering is based on the Crowbar status determination as the primary clustering criterion, while the interconnected voltage at the point of common coupling (PCC), considering the mutual influence among multiple wind farms, is used as a correction factor for iterative clustering. By utilizing collaborative equivalence of multiple wind farms, the final dynamic equivalent model is determined. Subsequently, a comprehensive simulation of various grid fault scenarios is conducted to evaluate the voltage sag. The proposed method's accuracy and effectiveness have been validated through case studies.
Keyword ：
Accuracy Accuracy Analytical models Analytical models crowbar protection crowbar protection Doubly fed induction generators Doubly fed induction generators doubly-fed wind farm doubly-fed wind farm dynamic clustering equi-value dynamic clustering equi-value Power quality Power quality Power system dynamics Power system dynamics Protection Protection Reactive power Reactive power Rotors Rotors Voltage sag Voltage sag voltage support capability voltage support capability Wind farms Wind farms Wind turbines Wind turbines
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| GB/T 7714 | Zhang, Yi , Zhang, Jiazhong , Li, Chuandong et al. Voltage Sag Evaluation in Power Grids Considering the Voltage Support Capabilities of Doubly-Fed Wind Farms During LVRT [J]. | IEEE TRANSACTIONS ON POWER DELIVERY , 2025 , 40 (3) : 1540-1553 . |
| MLA | Zhang, Yi et al. "Voltage Sag Evaluation in Power Grids Considering the Voltage Support Capabilities of Doubly-Fed Wind Farms During LVRT" . | IEEE TRANSACTIONS ON POWER DELIVERY 40 . 3 (2025) : 1540-1553 . |
| APA | Zhang, Yi , Zhang, Jiazhong , Li, Chuandong , Ou, Jieyu , Zhao, Wei , Zhang, Shuqi . Voltage Sag Evaluation in Power Grids Considering the Voltage Support Capabilities of Doubly-Fed Wind Farms During LVRT . | IEEE TRANSACTIONS ON POWER DELIVERY , 2025 , 40 (3) , 1540-1553 . |
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Implementing nonintrusive load monitoring (NILM) for industrial consumers plays a vital role in managing power demand and enhancing energy utilization efficiency. Focusing on the scarcity of sampling data and continuous variation of loads in industrial settings, this article proposes a nonintrusive industrial load decomposition (LD) method that considers the load power consumption characteristics and time series correlation. According to the time-varying characteristics of the power consumption, the load is divided into three types including switching load, multi state load, and continuously varying load. On this basis, the active and reactive power characteristics are jointly considered, and integer programming is used to build the load decomposition model. Particularly, the matrix factorization (MF) method is used to describe the continuously varying load. In addition, the timing correlation constraints under the base vector grouping constraint and production process constraints are proposed and integrated into the load decomposition model. Finally, the proposed method is validated on a public dataset using a PC platform and a Raspberry Pi 5, respectively. The results of the tests on the PC platform show that the proposed method has higher accuracy than the existing methods.
Keyword ：
Correlation Correlation Data models Data models Industrial loads Industrial loads integer programming integer programming Libraries Libraries Load modeling Load modeling Load monitoring Load monitoring matrix factorization (MF) matrix factorization (MF) nonintrusive load monitoring (NILM) nonintrusive load monitoring (NILM) Optimization Optimization power characteristics power characteristics Power demand Power demand Production Production Switches Switches Timing Timing timing correlation timing correlation
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| GB/T 7714 | Zhang, Yi , Chen, Jintao , Li, Chuandong et al. Nonintrusive Industrial Load Monitoring Considering Load Power Characteristics and Timing Correlation [J]. | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2025 , 74 . |
| MLA | Zhang, Yi et al. "Nonintrusive Industrial Load Monitoring Considering Load Power Characteristics and Timing Correlation" . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 74 (2025) . |
| APA | Zhang, Yi , Chen, Jintao , Li, Chuandong , Zhang, Liangyu , Sun, Shouquan . Nonintrusive Industrial Load Monitoring Considering Load Power Characteristics and Timing Correlation . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2025 , 74 . |
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Abstract ：
The electrical load of the iron and steel industry is significantly influenced by physical parameters and production flow. However, the current research neglects the interconnected nature of consecutive processes, resulting in imprecise simulations. To address these issues, a hybrid mechanism- and data-driven load forecasting model for the iron and steel industry is proposed. Firstly, the attenuation law of physical variables between successive processes is established based on the coupling characteristics of material and energy flow during transportation. Moreover, a general expression of power function is developed considering the equipment’s operational characteristic. Additionally, physical quantities and characteristic parameters of the power function are fitted using Kernel-Based Extreme Learning Machine (KELM). Finally, the predictive power of different processes is combined in time domain to derive the total power curve of the iron and steel enterprise. Through case studies on steel enterprises, the hybrid-driven model shows a 24.01% error reduction, highlighting its improved accuracy in capturing the enterprise's load dynamics. © 2024, The Authors. All rights reserved.
Keyword ：
Electric power plant loads Electric power plant loads Iron and steel industry Iron and steel industry Learning systems Learning systems Materials handling Materials handling Steelmaking Steelmaking
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| GB/T 7714 | Zhang, Yi , Sun, Shouquan , Li, Chuandong et al. Load Forecasting for Iron and Steel Industry Based on Hybrid Mechanism- and Data-Driven [J]. | SSRN , 2024 . |
| MLA | Zhang, Yi et al. "Load Forecasting for Iron and Steel Industry Based on Hybrid Mechanism- and Data-Driven" . | SSRN (2024) . |
| APA | Zhang, Yi , Sun, Shouquan , Li, Chuandong , Ou, Jieyu , Chen, Jintao . Load Forecasting for Iron and Steel Industry Based on Hybrid Mechanism- and Data-Driven . | SSRN , 2024 . |
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The transmission network is generally considered as three-phase balanced, while the consideration of threephase unbalance is mainly on distribution networks. However, with the increasingly interconnection of renewable energy, such as wind energy, onto transmission networks, non-adoption of commutation long transmission lines usually results in unbalanced line parameters. Therefore, developing reliable three-phase power flow algorithms for transmission and distribution (T&D) systems becomes more and more important for the reliable and safe operation of emerging power systems. Among the many three-phase power flow algorithms, Newton Raphson method (NRM) and its variants occupy a large share, due to their ability in dealing with multiple sources and looped sub-networks. However, they are sensitive to the initial value, and can hardly ensure convergence to a physically meaningful solution with improper initial values, especially for three-phase unbalanced system. To this end, a general three-phase power flow method for T&D systems is proposed based on the holomorphic embedding method (HEM), and the advantages of the proposed method compared with traditional NRM in solving the power flow problem to a physically meaningful solution are theoretically analyzed. Based on the IEEE 33 system, the modified IEEE 123 system, and a regional power grid in China, it is verified that the proposed method has the advantages of high computational efficiency, reliable converging ability, and independence to the initial value.
Keyword ：
Convergency Convergency Holomorphic embedding method Holomorphic embedding method Three-phase power flow Three-phase power flow Transmission and distribution network Transmission and distribution network
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| GB/T 7714 | Zhang, Yi , Lan, Tian , Li, Chuandong et al. Holomorphic embedding method based Three-Phase power flow algorithm considering the sensitivity of the initial value [J]. | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS , 2024 , 162 . |
| MLA | Zhang, Yi et al. "Holomorphic embedding method based Three-Phase power flow algorithm considering the sensitivity of the initial value" . | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 162 (2024) . |
| APA | Zhang, Yi , Lan, Tian , Li, Chuandong , Cai, Weijie , Lin, Zhiyu , Lin, Jinrong . Holomorphic embedding method based Three-Phase power flow algorithm considering the sensitivity of the initial value . | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS , 2024 , 162 . |
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Accurate ultra-short-term power prediction for wind farms is challenging under rapid wind speed fluctuations, complicating production planning and power balancing. This paper proposes a new method considering spatial and temporal correlations of wind fluctuations among adjacent wind farms. The method first calculates the time difference between power fluctuations based on wind speed, direction, and relative positions, determining the prior information period. The variational Bayesian model is then used to extract implicit relationships between power fluctuations of adjacent wind farms, enabling power prediction during the prior information period. Finally, the non-prior information period is predicted to complete the ultra-short-term power prediction. Using measured data from three wind farms in Fujian Province, compared to other models, the method demonstrates improved accuracy by effectively leveraging the power fluctuation characteristics of adjacent wind farms, and it has a certain amount of generalizability.
Keyword ：
adjacent wind farms adjacent wind farms prior information period prior information period spatial-temporal correlation spatial-temporal correlation ultra-short-term output prediction ultra-short-term output prediction variational Bayesian model variational Bayesian model
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| GB/T 7714 | Li, Chuandong , Zhang, Minghui , Zhang, Yi et al. Ultra-Short-Term Wind Farm Power Prediction Considering Correlation of Wind Power Fluctuation [J]. | SENSORS , 2024 , 24 (20) . |
| MLA | Li, Chuandong et al. "Ultra-Short-Term Wind Farm Power Prediction Considering Correlation of Wind Power Fluctuation" . | SENSORS 24 . 20 (2024) . |
| APA | Li, Chuandong , Zhang, Minghui , Zhang, Yi , Yi, Ziyuan , Niu, Huaqing . Ultra-Short-Term Wind Farm Power Prediction Considering Correlation of Wind Power Fluctuation . | SENSORS , 2024 , 24 (20) . |
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Renewable energy has developed rapidly in Ningxia, and it has become the first provincial power system in China whose renewable energy power generation output exceeds the power load of the whole region. The access of a high proportion of renewable energy puts forward higher requirements for the peak-shaving capacity of the Ningxia power system. In order to solve the problem of calculating the peak-shaving cost in the key scenarios of renewable energy development in Ningxia, a quantitative model of the peak-shaving cost of the power system considering time-of-use price is proposed. We take Ningxia power system as an example to study. First, the key scenarios of the Ningxia power system peak-shaving are obtained, and the technical cost characteristic boundaries of various peak-shaving resources are determined. Second, according to the characteristics of typical daily renewable energy and load in Ningxia, the quantification model of the power system peak-shaving cost is established. The model takes the minimum total cost of the power system as the objective function and considers the constraints such as technical output of thermal power units, charge-discharge characteristics of energy storage and time-of-use price mechanism. Finally, the model is solved and the peak-shaving cost and unit output under the optimal scheme are obtained. This example shows that the model can effectively evaluate the peakshaving cost and unit output of the Ningxia power system under the key scenarios of peak-shaving.
Keyword ：
Energy storage Energy storage Peak-shaving Peak-shaving Power system Power system Renewable energy Renewable energy Typical daily Typical daily
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| GB/T 7714 | Xiang, Mengru , Zhang, Yi , Li, Chuandong et al. Peak-shaving cost of power system in the key scenarios of renewable energy development in China: Ningxia case study [J]. | JOURNAL OF ENERGY STORAGE , 2024 , 91 . |
| MLA | Xiang, Mengru et al. "Peak-shaving cost of power system in the key scenarios of renewable energy development in China: Ningxia case study" . | JOURNAL OF ENERGY STORAGE 91 (2024) . |
| APA | Xiang, Mengru , Zhang, Yi , Li, Chuandong , Qi, Caijuan . Peak-shaving cost of power system in the key scenarios of renewable energy development in China: Ningxia case study . | JOURNAL OF ENERGY STORAGE , 2024 , 91 . |
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In the past, the transmission network was generally considered to be in a three-phase equilibrium state, and the analysis of the three-phase unbalance problem was mainly focused on the distribution network. However, with the development of new energy, when new energy sources such as wind power are connected to the transmission network, non-commutation long transmission lines are often used, resulting in unbalanced line parameters in the transmission network. It can be seen that the study of a reliable three-phase power flow algorithm for transmission and distribution (T&D) systems is becoming more and more important for the reliable operation and development of new power systems. At present, there are many three-phase power flow algorithms. The Newton Raphson method (NRM) and its variants occupy a mainstream position, due to their strong ability in dealing with the characteristics of multiple sources and looped sub-networks of emerging power systems. However, NRM based methods are sensitive to the initial value, and it is difficult to ensure convergence to a physically meaningful solution when initial values are not appropriate, making NRM based methods no longer perfectly suitable for T&D systems with increasingly serious three-phase unbalance problems. To this end, based on the advantages of the holomorphic embedding method (HEM), such as independence to the initial value, high computational efficiency, and reliable convergence ability, this paper proposes a general three-phase power flow algorithm for T&D system. The case study verifies the advantages of high efficiency, strong convergence ability, and insensitivity to the initial value of the proposed method has . © 2024, The Authors. All rights reserved.
Keyword ：
Computational efficiency Computational efficiency Electric load flow Electric load flow Electric power distribution Electric power distribution Electric power transmission Electric power transmission Electric power transmission networks Electric power transmission networks Embeddings Embeddings Newton-Raphson method Newton-Raphson method Wind power Wind power
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| GB/T 7714 | Zhang, Yi , Lan, Tian , Li, Chuandong et al. Holomorphic Embedding Method Based Three-Phase Power Flow Algorithm Considering the Sensitivity of the Initial Value [J]. | SSRN , 2024 . |
| MLA | Zhang, Yi et al. "Holomorphic Embedding Method Based Three-Phase Power Flow Algorithm Considering the Sensitivity of the Initial Value" . | SSRN (2024) . |
| APA | Zhang, Yi , Lan, Tian , Li, Chuandong , Cai, Weijie , Lin, Zhiyu , Lin, Jinrong . Holomorphic Embedding Method Based Three-Phase Power Flow Algorithm Considering the Sensitivity of the Initial Value . | SSRN , 2024 . |
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