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Energy, Electrical and power Engineering (CEEPE), International Conference on

作者： Yonghan Liu Jing He Peng Wang Haoran Zhao School of Electrical Engineering Shandong University Jinan China State Key Laboratory of Operation and Control of Renewable Energy & Storage System China Power Research Institute Beijing China

The power grid becomes complex, low-frequency oscillations occur more frequently, posing significant challenges to power systems' safe and stable operation. power system stabilizers are commonly used to enhance system stability by improving damping and suppressing low-frequency oscillations. However, optimizing PSS parameters is a challenging task that typically requires extensive analysis or on-site experimentation. To address this challenge, this study proposes an efficient parameter optimization method for PSSs using the DIgSILENT powerFactory software and the particle swarm optimization algorithm. The proposed method is validated on a 39-node system, and the results show that the proposed method improves system damping and enhances stability. This method offers an easy-to-implement solution for engineers seeking to optimize PSS parameters in power systems.

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A Coordinating Model between Electric Vehicle Charging Station Planning Based on Thermal Maps of Vehicle Flow Rates and Distribution Devices Planning

A Coordinating Model between Electric Vehicle Charging Stati...

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2021 International Conference on control Science and Electric power systems, CSEPS 2021

作者： Yang, Lei Huang, Wei Guo, Cheng Zhangv, Dan Xiang, Chuan Xi, Xinze Gu, Feiqiang Electric Power Research Institute of Yunnan Kunming650217 China Electric Power Dispatching and Control Center of Yunnan Kunming650200 China Chongqing University State Key Laboratory of Power Transmission Equipment System Security and New Technology Chongqing400044 China

ISBN: (纸本)9781665426183

Based on thermal maps of vehicle flow rates, this paper studies the optimizing method of charging stations' capacity and location sets, to determining the classification information of the layout of the charging stations to be selected and the total charging capacity to be planned. Then, an optimal extended planning model of 10kV urban distribution network facilities was proposed based on the known classification information of the layout and total capacity of regional charging stations. Subsequently, considering that the above two models have a great impact on regional load imbalance, a coordinated planning model based on thermal maps of vehicle flow rates and distribution network facilities is proposed, which could be solved by double-level immune genetic algorithm. This model can solve the problem of regional load imbalance after the distribution devices and charging stations being connected at the same time. Finally, the effectiveness of the proposed model is verified by a coordinated planning analysis of practical charging stations and distribution network facilities. © 2021 IEEE.

关键词： Taxicabs

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LiFePO4 Battery SOC Estimation under OCV-SOC Curve Error Based on Adaptive Multi-Model Kalman Filter

arXiv

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arXiv 2024年

作者： Paizulamu, Daniyaer Cheng, Lin Zhuang, Yingrui Xu, Helin Qi, Ning Ci, Song The State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing100084 China The Department of Earth and Environmental Engineering Columbia University New YorkNY10027 United States

LiFePO4 batteries are widely used in electric vehicles and energy storage systems due to long cycle life and high safety performance. However, the OCV-SOC curve (OSC) of these batteries features a long plateau region, making state of charge (SOC) estimation highly sensitive to OSC error, which arises due to aging and temperature. To address this, we propose an SOC estimation method that accounts for error in OSC. First, we establish battery equivalent circuit model (ECM) and introduce a parameters identification algorithm based on adaptive recursive least squares. Next, we derive the relationship between the innovation's cross-correlation matrix (CCM)/auto-correlation matrix (ACM) of the Kalman filter and the OSC error. We then develop an adaptive multi-model Kalman filter (AMMKF), which dynamically adjusts the measurement model parameters of each filter based on the sign of the OSC error. By assigning a probability to each filter according to its predicted voltage distribution function, the optimal filter is selected. The proposed method is tested under various OSC error types and operating conditions. Results demonstrate that the proposed method achieves high accuracy and robustness, with an RMSE of less than 3%, which is more than 10% lower than the estimation error of traditional method. Copyright © 2024, The Authors. All rights reserved.

关键词： Adaptive filters

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Neutral Current Suppression for a Common Mode Decoupling Three-phase Transformerless Converter 5

Neutral Current Suppression for a Common Mode Decoupling Thr...

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5th IEEE Conference on Energy Internet and Energy system Integration, EI2 2021

作者： Cui, Xuan Xu, Shan Wang, Lei Zhang, Xinfang Zhang, Baifu Shanxi Key Laboratory of Power System Operation and Control Taiyuan University of Technology Taiyuan China Information and Communication Branch of Hebei Electric Power Co. Ltd. State Grid Corporation Shijiazhuang China

ISBN: (纸本)9781665434256

An independently controlled neutral module (ICNM) can be adopted in common mode decoupling three-phase transformerless AC-DC converter. When the load is unbalanced, the neutral line can provide a path for the zero sequence current. The initial control goal of ICNM is to stabilize the neutral voltage. Due to the phase jump of [-180] ° at the resonant frequency of the neutral inductance in the system loop gain and the split DC bus capacitor, the system may be unstable. In order to ensure system stability, inductive current feedback scheme (ICFS) can be adopted. Firstly, the equivalent circuit and basic control method of ICNM are proposed in this paper. Then, the stability of the original control is analyzed. Finally, an ICFS method to improve system stability is proposed.. © 2021 IEEE

关键词： system stability

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Adaptive deblock for DC line fault in full bridge sub-module based MMC-HVDC system 15

Adaptive deblock for DC line fault in full bridge sub-module...

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15th International Conference on Developments in power system Protection, DPSP 2020

作者： Cai, Jing Dong, Xinzhou State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781713827894

Modular multilevel converter based high voltage direct current (MMC-HVDC) transmission technology has been widely applied in power systems, such as AC systems interconnection and renewable energy access, due to its superiorities. The long distance and complex operation environment lead to high probability of DC transmission line faults. Inevitable faults will interrupt normal power transmission and may cause severe accidents without appropriate faults handling scheme in both HVDC and AC/DC hybrid systems. MMC-HVDC utilizing submodules with fault clearing ability, such as Full-Bridge-Submodule (FBSM), can reduce fault current rapidly through blocking all submodules and attempt to resume power transmission by deblocking after waiting for deionization time. But the deblock operation is blind, which may aggravate outrage consequences with producing extra impacts on system and extending fault handling time in case of permanent faults. In order to realize ideal fault handling, which means submodules only deblock under temporary fault while cut off the fault line in case of permanent fault, an adaptive deblock strategy is proposed in FBSM based MMC-HVDC system mainly through distinguishing two fault states. A simulation model is established in PSCAD/EMTDC to verify feasibility and effectiveness of proposed scheme. Applicability to other submodules with fault clearing capability also been analysed. © 2020 IET Conference Publications.

关键词： Renewable energy resources

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A Two-layer Adaptive control Strategy for Photovoltaic power in Different Scenarios

A Two-layer Adaptive Control Strategy for Photovoltaic Power...

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Energy Engineering and power systems (EEPS), International Conference on

作者： Yanghui Wan Jiahao Yan Tianfeng Chu Yaping Li Kun Yuan Kaifeng Zhang Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education Southeast University Nanjing China Power Automation Department China Electric Power Research Institute(Nanjing) Nanjing China Electric Power Research Institute State Grid Liaoning Electric Power Co. Ltd. Shenyang China

Currently, control strategies for distributed photovoltaic (PV) power generation are relatively single and rigid, and cannot flexibly adapt to the diverse demands of power grids in different scenarios. Firstly, this paper analyzes the adaptive relationship between different dispatching demands, the regulation ability of distributed PV, and the characteristics of the local voltage. Secondly, for different scenarios, the coordinated controller determines the reference values of active power and reactive power given to the inverter. Thus, distributed PV power control modes which can adapt to different scenarios have been established. Then, these control modes can be classified into single control modes and compound control modes according to the complexity of scenario demands. On this basis, a specific two-layer adaptive control strategy and process of distributed PV power generation in a low-voltage distribution network are further proposed, which takes into account both external demands of the distribution network and the regulation ability of distributed PV. Finally, a case study is given to verify the rationality and effectiveness of the two-layer adaptive scenarios control strategy. This strategy can effectively improve the comprehensive support ability of distributed PV power generation towards the power grid in multiple scenarios, and improve the stable operation level of the regional power grid.

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Optimal Parameters Setting of Wind power for Frequency Regulation Based on Evaluation of Available Kinetic Energy

SSRN

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SSRN 2024年

作者： Zhang, Han Zhang, Feng Ding, Lei Salimu, Athuman Zhang, Gang State Key Laboratory Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan250061 China Yantai Research Institute of Harbin Engineering University Yantai264006 China

When a wind farm (WF) provides frequency support for the power grid, the frequency regulation parameters of wind turbine generators (WTGs) are normally set by the control of the rotor-side converter and generally decoupled from the time-varying available rotational kinetic energy (KE) in WTGs. Therefore, it may lead to a mismatch between the frequency regulation parameters and the frequency regulation ability of a WTG. In this paper, an optimal frequency regulation parameter setting method of wind power is proposed considering available KE evaluation of wind power, establishing the coupling relationship between frequency regulation parameters with available KE. Firstly, considering the spatiotemporal differences in wind speed within a WF, forecasting scenario-based evaluation method of the available KE for a WF is proposed. Secondly, a functional optimization model for equivalent wind power frequency regulation parameters is constructed and solved with numerical method to adapt to the time-varying available KE of wind power in the power grid. Then the frequency regulation parameters of the WF and WTG layers are set according to the energy-weight ratio. Finally, a case study is conducted to verify the proposed available KE evaluation method using forecasted wind speed scenarios and the effectiveness of the optimal frequency regulation parameter setting method using a two-area power system model. The results show that the energy evaluation method can effectively reduce evaluation error and the optimal frequency regulation parameter can improve the system frequency dynamic response, and prevent over-deceleration of WTG. © 2024, The Authors. All rights reserved.

关键词： Kinetic energy

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Commutation Fault Identification of UHVDC Transmission system Based on Dissipated Energy

Commutation Fault Identification of UHVDC Transmission Syste...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Weiming Zhang Shuai Yuan Gong Cheng Qingsheng Zhao Dingkang Liang Minhong Yuan Shanxi Key Laboratory of Power System Operation and Control College of Taiyuan University of Technology Taiyuan China State Grid UHV Transmission CO.OF SEPC State Grid Power Supply Company Taiyuan China State Grid UHV Transformation CO.OF SEPC State Grid Power Supply Company Taiyuan China State Grid Power Supply Company Taiyuan China

Commutation failure is a common fault in UHVDC transmission systems that use grid commutation converters. If commutation failure occurs, it will cause DC power fluctuations and perhaps a DC lockout, endangering the grid's ability to function safely and steadily. Therefore, it is critical to correctly and promptly diagnose the failure and implement the necessary controls to prevent commutation failure from happening in the later stage. This paper first uses MATLAB/SIMULINK to build the simulation model of UHVDC transmission system, and then the different types of faults on the inverter side commutation bus are simulated. To determine the faulty type of commutation failure, this paper proposes a commutation failure identification method of UHVDC transmission system based on dissipated energy, the outcomes demonstrate that this method is cable of correctly determine the commutation failure type brought on by a commutation bus fault.

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A CL-MDT Method of Multi-energy Load Forecasting in Integrated Energy system 4

A CL-MDT Method of Multi-energy Load Forecasting in Integrat...

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4th International Conference on power and Energy Technology, ICPET 2022

作者： Zheng, Tao Liu, Gang Cheng, Wei Hu, Pingzhao Wang, Ying State Grid Electric Power Research Institute Nari Group Corporation Nanjing China NARI-TECH Nanjing Control System Ltd Nanjing China Nari Technology Co. Ltd Nanjing China Ministry of Education Southeast University Key Laboratory of Measurement and Control of Cse Nanjing China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

Source-load scheduling is based on multi-energy-load forecasting. The integrated energy system mainly includes three types of energy: electricity, cooling and heating. Studying the correlation among electricity, cooling and heating may improve the accuracy of multi-energy-load forecasting. This paper considers the correlation of three energy sources, fully analyzes the correlation, and applies the correlation of the three in the forecasting model. This paper proposes a CL-MDT (CNN-LSTM-Multi-Decoder-Transformer) model for multi-energy-load forecasting. The model is based on the Transformer, and the Multi-Head Attention part in the Encoder is replaced by a 2dimensional 3*3 CNN (Convolutional Neural Network) feature extraction module for feature extraction of data. And a 1dimensional CNN feature extraction module and LSTM structure are added to the Decoder. The structure of single Encoder and multiple Decoders is used in this paper to realize the application of the correlation of the three in the forecasting model. Finally, the model is tested on public datasets and the forecasting results of CL-MDT are compared with that of LSTM model for multi-energy-load joint forecasting. The results show that the CL-MDT model proposed in this paper has better forecasting accuracy. © 2022 IEEE.

关键词： Forecasting

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Influence Analysis of Thermal states on Dynamic Frequency Response for power systems with High Renewables

Influence Analysis of Thermal States on Dynamic Frequency Re...

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2020 IEEE Sustainable power and Energy Conference, iSPEC 2020

作者： Cao, Yongji Zhang, Hengxu Li, Changgang Sun, Leshu Li, Chen Qin, Hao Guo, Qi Zhu, Yihua Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan250061 China State Key Laboratory of HVDC Electric Power Research Institute National Energy Power Grid Technology RD Centre 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 Guangzhou510663 China

ISBN: (纸本)9781728191645

As thermal generators are substituted by renewables, the power reserves are decreasing and the influence of boiler thermal states on frequency dynamics becomes more severe. The variations of thermal states can aggravate dynamic frequency response, especially for power systems with high renewables. However, the system frequency response (SFR) model has been widely adopted, but in which the thermal states are neglected. This paper analyzes the influence of thermal states on dynamic frequency response quantitatively. The modified SFR models are built by extending the boiler models with different simplification degrees. Then, from the view of the response amplitude and time, the quantitative indices are established to measure the response trajectories of modified SFR models. And the characteristics of frequency dynamics and the statistic indices of data sequences are utilized to analyze the influences of thermal states and assess the performances of modified SFR models. According to the results of comparative analysis, the neglect of thermal states incurs more optimistic frequency dynamics and impairs the frequency stability of power systems with high renewables. Additionally, the accuracy of the SFR model can be enhanced even with the most simplified boiler model. © 2020 IEEE.

关键词： Frequency response

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