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UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science 2022年第2期84卷 303-318页

作者： Zhou, Yibo Caokang, Yangyong Zhang, Shi Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Changchun Power Supply Company State Grid Jilin Electric Power Company Limited Changchun130000 China

Based on the local voltage stability index, The sensitivity matrix of load node local voltage stability index to generator node excitation system reactive-voltage regulation coefficient is established. According to the sensitivity information, the reactive-voltage regulation coefficient of each generator is optimized to improve the static voltage stability of the power grid. The analysis results of 39 buses system verify the feasibility and accuracy of the proposed sensitivity matrix. When the reactive-voltage regulation coefficient of the key generator node which has a great impact on the static voltage stability of the load node is adjusted according to the sensitivity index, the static voltage stability of the power system could be improved. This study can contribute to realize the optimal setting of reactive-voltage regulation coefficient of generators in multi-machine system. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Voltage regulators

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simulation Testing of Large-Scale Grid-Connected Wind power with Energy Storage system Based on Active Support Performance Evaluation Indices 10

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

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10th International Forum on Electrical Engineering and Automation, IFEEA 2023

作者： Zhu, Yihua Hu, Yun Tu, Liang Su, Mingzhang Luo, Chao Csg State Key Laboratory of Hvdc Electric Power Research Institute 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 China Southern Power Grid Csg Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China

ISBN: (纸本)9798350309379

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. © 2023 IEEE.

关键词： active support performance evaluation indices different scenarios grid-following (GFL) grid-forming (GFM)

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An Equivalent Modeling Method for Integrated Hydro-Photovoltaic-Wind systems Based on Particle Swarm Optimization and Neural Networks 4

An Equivalent Modeling Method for Integrated Hydro-Photovolt...

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4th International Conference on Intelligent power and systems, ICIPS 2024

作者： Huang, Ying Lu, Yuanhong Zhao, Yanjun Hu, Yufeng Zhang, Jie Guo, Haiping China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China China Southern Power Grid National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangzhou510663 China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China

ISBN: (纸本)9798331532765

The fault transient characteristics of power grids have undergone a fundamental transformation as a consequence of the advent of hybrid scale access to power grids by new energy sources. Nevertheless, the existing stand-alone equivalent model is unable to accurately characterise the fault transient characteristics of the hybrid light-water-wind electric field/cluster. Furthermore, the simulation computation of the stand-alone equivalent model is considerable in scale and the simulation efficiency is low. This paper proposes a particle swarm neural network-based clustered equivalent modelling method for a light-water-wind hybrid electric field. Firstly, a transient model of the light-water-wind hybrid electric field is established, and the characteristic influence factors of faults are constructed through theoretical analysis. These include the distance between the light-water-wind hybrid electric field and the point of common coupling (PCC), the input of current limiting measures on the DC side, the light, the water speed, the wind speed, and the reactive power at the outlet. Subsequently, the Euclidean distance is calculated for the set of characteristic influencing factors, and the initial centre of clustering of wind turbines is extracted based on the improved maximum-minimum distance method. Ultimately, the clustering equivalent modelling is accomplished through the utilisation of the aforementioned feature influencing factors and the classification initial centre as the training set. The simulation results show that compared with the single-machine equivalent model, The simulation error has been reduced from the order of magnitude of 10-2 p.u. to the order of magnitude of 10-4 p.u., while the simulation efficiency of this method is has been reduced from the order of magnitude of 10-2 s to the order of magnitude of 10-4 s. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Analysis and suppression of low-frequency oscillation of photovoltaic cells with inertia control 6

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

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

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

ISBN: (纸本)9798350346671

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. © 2023 IEEE.

关键词： simulation platform

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Forecasting-Aided Voltage Estimation for Distribution Network Considering the Integrated Management of Virtual power Plants Platform 7

Forecasting-Aided Voltage Estimation for Distribution Networ...

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7th IEEE Student Conference on Electric Machines and systems, SCEMS 2024

作者： Jia, Yujian Liu, Zhao Kan, Changtao Yu, Yue Li, Changgang State Grid Jinan Power Supply Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350366945

As more distributed energy sources integrate into distribution networks, issues such as voltage fluctuations and reduced observability become increasingly prominent. Therefore, this paper proposes an algorithm for forecasting-aided state estimation (FASE) in virtual power plants' integrated operation management platform. Firstly, a Bidirectional Long Short-Term Memory (BiLSTM)-Extended Kalman Filter (EKF) algorithm for distribution network FASE is introduced. Secondly, the integrated management of virtual power plant platforms (IM-VPPP) enhances the observability of distribution networks. To evaluate the performance of the proposed method, simulations are conducted using the IEEE 33-bus standard distribution system. Results demonstrate significant advantages of the algorithm in terms of accuracy and robustness. © 2024 IEEE.

关键词： power distribution networks

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Research on Equivalent Circuit and power Transmission Characteristic of Multi-winding Transformer 16th

Research on Equivalent Circuit and Power Transmission Charac...

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16th Annual Conference of China Electrotechnical Society, ACCES 2021

作者： Zhang, Yun Zheng, Zedong Li, Chi State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

ISBN: (纸本)9789811915314

By replacing multiple two-winding transformers with a multi-winding transformer (MWT) in the isolated DC-DC converter, it can reduce the volume and increase the power density. Due to magnetic coupling in MWT, power will flow between any two windings. The relationship between the leakage inductance of multi-winding, inductance of external inductors and transmission power is studied. The power balance condition about leakage inductance and external inductance is analyzed based on different cascaded DC-DC series-parallel conversion system. The leakage inductance characteristic with different winding arrangement of MWT is analyzed. By choosing and designing appropriate winding arrangement, it can increase the power density and achieve power balancing. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： DC-DC converters

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Low-Carbon Dispatch Strategy for Virtual power Plant Based on Bagging Ensemble Learning Forecasting Method 7

Low-Carbon Dispatch Strategy for Virtual Power Plant Based o...

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7th IEEE Student Conference on Electric Machines and systems, SCEMS 2024

作者： Li, Guang Dong, Xin Li, Li Yu, Yue Li, Changgang State Grid Jinan Power Supply Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350366945

Virtual power plants (VPPs) struggle with peak-shaving due to unreliable distributed generation (DG) data and the intermittent nature of wind and solar power, impacting carbon emissions. This paper proposes a low-carbon dispatch strategy for VPPs based on a Bagging ensemble forecasting model. Firstly, a VPP dispatch framework based on DG output and load forecasting is established, and a Bagging ensemble forecasting model with feature selection is proposed. Secondly, the control characteristics of flexible industrial, commercial, and residential loads are analyzed to establish a control cost model, which is then integrated with the balanced relationship between wind, photovoltaic, and energy storage, as well as the carbon emission mechanism, to formulate a low-carbon dispatch model. Finally, the simulation results show that the proposed strategy can improve the accuracy of DG output and load forecasting in complex feature environments while realizing the interaction between source-grid-load and reducing the generation and operation costs of the grid. © 2024 IEEE.

关键词： Carbon capture and utilization

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Optimal Scheduling of Multiple Energy Storage-Thermal power Units under Electricity Market 4

Optimal Scheduling of Multiple Energy Storage-Thermal Power ...

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4th IEEE New Energy and Energy Storage system control Summit Forum, NEESSC 2024

作者： Li, Baoju Xu, Shuguang Fu, Jiyue Fu, Xiaobiao Wang, Yao Zhu, Xingxu Li, Cuiping Li, Junhui Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun Jilin130021 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China The Power Dispatching and Control Center State Grid Jilin Electric Power Co. Ltd Chang Chun Jilin130021 China

ISBN: (纸本)9798350389012

Aiming at the increasing burden of power system peaking caused by the integration of large-scale new energy generation into the grid and the imperfect participation mechanisms for peaking entities in the power market, this paper proposes an optimal dispatch method for multiple storage and thermal power units. Firstly, to reduce the impact of the volatility of new energy generation on system peaking, the planned market trading power of new energy is optimally allocated with the goal of minimizing the net load on the grid. Secondly, a multi-storage lease transaction mechanism and an energy storage lease declaration model based on the whole life cycle cost are designed, and the charging and discharging power of individual storage units is optimized with the objective of maximizing revenue from multi-storage leasing. Finally, typical daily data are selected and simulated in the improved IEEE 30-bus system. The results show that the proposed method reduces the curtailment rate of new energy and effectively improves the economic efficiency of peaking for power market entities. © 2024 IEEE.

关键词： Charge storage

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Analysis on Participation Strategy of Independent Energy Storage Station in Electricity Spot Market 8

Analysis on Participation Strategy of Independent Energy Sto...

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8th Asia Conference on power and Electrical Engineering, ACPEE 2023

作者： You, Daning Zhang, Guoqiang Song, Shihang Liu, Hanghang Cai, Yanbin Wang, Yuanyuan Zhang, Li State Grid Shandong Electric Power Company Power Dispatching Control Center Jinan China Intelligent Dispatch and Control Shandong University Key Laboratory of Power System Jinan China State Grid Shandong Electric Power Company Dongying Power Supply Company Dongying China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

ISBN: (纸本)9798350345520

To implement the carbon peaking and carbon neutrality goals, improving market mechanism to maximize the utilization of energy storage is attracting more and more attention. This paper addresses the trading strategy of independent energy storage station participating in both energy market and frequency regulation market. A restrictive coefficient of available capacity of energy storage participating in frequency regulation market is introduced, which characterizes the constraints of the energy storage between the two markets. Consequently, the market optimization model with the restrictive coefficient is constructed. Then, different strategies are set based on the capacity allocation of energy storage in the two markets, and the energy storage station's role and revenue are analyzed. simulations under different participation strategies are done, the results show that with the increase of renewable energy connected to the grid, taking the energy storage more as an excellent frequency regulation resource is beneficial to renewable energy consumption and system operation. © 2023 IEEE.

关键词： Carbon

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Optimal Scheduling Strategy for Interconnected Multi-region Peaking Resources Considering Network Currents 9

Optimal Scheduling Strategy for Interconnected Multi-region ...

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

作者： Li, Junhui Pan, Yahui Qi, Xuesong Guan, Xiaozhuo Guo, Tiebin Zhang, Yizhu Sun, Jia Lu, Yixin Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China Power Dispatching and Control Center Jilin Power Supply Company Jilin China Science and Technology Section Jilin Power Supply Company Jilin China Jilin Electric Power Co Science and Technology Innovation Department Changchun China

ISBN: (纸本)9798350309638

Under the background of the increasing proportion of new energy power generation, the mismatch of 'source-load' occurs between regions. To effectively improve the utilization rate of peaking resources and increase the amount of 'source-load' matching, this paper proposes the optimal scheduling of multiregional peaking resources considering network currents. The strategy takes into account the impact of wind power penetration rate on the demand for peaking resources and connects the regions with different peaking characteristics using contact lines. It evaluates and iterates the peaking resources of each region in each time period and finds the optimal amount of peaking resources and the optimal output of thermal power units in each region. Through simulation, the results show that the proposed strategy effectively improves wind power consumption and system operation economy. © 2024 IEEE.

关键词： Wind power

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