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International Conference on power System Technology (powerCON)

作者： Zijun Wang Kehao Zhuang Hui Liu Xuekun Cheng Shiyao Qin Huanhai Xin Polytechnic Institute of Zhejiang University Zhejiang University Hangzhou P. R. China College of Electrical Engineering Zhejiang University Hangzhou P. R. China Grid-connected Operation Technology For Wind-Solar-Storage Hybrid System State Grid Corporation Key Laboratory State Grid Jibei Electric Power Research Institute Beijing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems) China Electric Power Research Institute Beijing China

ISBN: (纸本)9781665407380

Phase-locked loop (PLL) is widely used in voltage source converter (VSC) to synchronize with grid. This paper comprehensively analyzes the transient stability of the PLL-VSC and obtains the VSC’s instability characteristics similar to the synchronous generator. The instability of VSC is mainly caused by insufficient deceleration area and instability without equilibrium point. To improve the transient stability of VSC, a hybrid PLL is proposed. This method dynamically compensates the phase of the PLL to improve the transient stability performance of the system without obtaining the specific parameters of the grid line. The phase compensation of PLL creates new equilibrium points to solve the most problem of insufficient deceleration area or no equilibrium point. Time-domain simulations are given to verify the effectiveness of the theoretical analysis.

关键词： power system dynamics Voltage power system stability Stability analysis Synchronous generators Synchronization Phase locked loops

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Fault diagnosis for PV arrays considering dust impact based on transformed graphical feature of characteristic curves and convolutional neural network with CBAM modules

arXiv

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arXiv 2023年

作者： Qu, Jiaqi Wei, Lu Sun, Qiang Zareipour, Hamidreza Qian, Zheng School of Instrumentation and Optoelectronic Engineering Beihang University Beijing China School of Electronics and Information Engineering Beihang University Beijing China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China The Department of Electrical and Computer Engineering University of Calgary Calgary Canada

Various faults can occur during the operation of PV arrays, and both the dust-affected operating conditions and various diode configurations make the faults more complicated. However, current methods for fault diagnosis based on I-V characteristic curves only utilize partial feature information and often rely on calibrating the field characteristic curves to standard test conditions (STC). It is difficult to apply it in practice and to accurately identify multiple complex faults with similarities in different blocking diodes configurations of PV arrays under the influence of dust. Therefore, a novel fault diagnosis method for PV arrays considering dust impact is proposed. In the preprocessing stage, the Isc-Voc normalized Gramian angular difference field (GADF) method is presented, which normalizes and transforms the resampled PV array characteristic curves from the field including I-V and P-V to obtain the transformed graphical feature matrices. Then, in the fault diagnosis stage, the model of convolutional neural network (CNN) with convolutional block attention modules (CBAM) is designed to extract fault differentiation information from the transformed graphical matrices containing full feature information and to classify faults. And different graphical feature transformation methods are compared through simulation cases, and different CNN-based classification methods are also analyzed. The results indicate that the developed method for PV arrays with different blocking diodes configurations under various operating conditions has high fault diagnosis accuracy and reliability. Copyright © 2023, The Authors. All rights reserved.

关键词： Failure analysis

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An Improved Chimp Optimization Algorithm for Short-term Hydrothermal Scheduling

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2022年第3期49卷 666页

作者： Chen, Gonggui Wang, Shumin He, Yongsheng Shang, Wanfeng Long, Hongyu Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China Chongqing University of Posts and Telecommunications Chongqing400065 China State Grid Chongqing Electric Power Company Chongqing400015 China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Shenzhen518055 China Chongqing Key Laboratory of Complex Systems and Bionic Control Chongqing University of Posts and Telecommunications Chongqing400065 China

The short-term hydrothermal scheduling (STHS) is a complex non-linear, non-convex and high-dimensional mathematical optimization problem. Due to the fact that the original chimp optimization algorithm (ChOA) is likely to fall into local optimum and has the disadvantage of low population diversity, an improved chimp optimization algorithm (IChOA) is proposed to solve the STHS problem. Firstly, Logistic-Tent chaotic mapping is employed to initialize the population and increase the population diversity. Then a new nonlinear convergence factor is introduced to make the optimization search process more applicable to STHS problems. Next, particle swarm algorithm (PSO) and gravitational search algorithm (GSA) are combined to enhance the shortcoming and balance the global search ability and local exploration ability of ChOA. Moreover, Cauchy mutation and opposition-based learning strategy are supplemented as perturbation interference when the optimal position is not updated to improve the ability to leap out of the local optimum. Finally, a graded optimization strategy is adopted for the constraint handing of dynamic reservoir balance and thermal power balance. Three standard hydrothermal power systems are utilized to verify the practicability and validity of the proposed method. Results of simulations reveal that IChOA has significant competitive advantages in addressing the STHS problem. © 2022, IAENG International Journal of Computer Science. All Rights Reserved.

关键词： Particle swarm optimization (PSO)

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Analysis and control of Improved MMC With Symmetrical Super Capacitor Energy Storage System in EER Application

Analysis and Control of Improved MMC With Symmetrical Super ...

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IEEE Electronic power Grid (eGrid)

作者： Haibo Tao Xiaofeng Yang Z. Li Trillion Q Zheng X. You Pavel Kobrle State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China School of Electrical Engineering Beijing Jiaotong University Beijing China Faculty of Electrical Engineering Czech Technical University in Prague Prague Czech Republic

ISBN: (数字)9781728157047

ISBN: (纸本)9781728157054

Energy storage system becomes one of key components in the medium voltage grid with the ever-increasing development of renewable energy resources. This paper proposes an improved modular multilevel converter (IMMC) where symmetrical super capacitor energy storage banks are interfaced to the three-terminal power unit through a Buck/Boost converter. Six typical operation modes are taken into account and the control algorithms such as state of charge (SOC) equalization and sub-module capacitor balance based on carrier phase shift sine pulse width modulation (CPS-SPWM) are developed. Finally., the analysis and control strategies are verified through the MATLAB/Simulink simulation results and down-scaled prototype experimental results.

关键词： Capacitors Energy storage Voltage control Pulse width modulation Mathematical model power control Renewable energy sources

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Impact of series compensation on operation performance of large-scale PV plants

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The Journal of Engineering 2017年第13期2017卷 2569-2573页

作者： Guofei Lu Miao Miao Xiao Yu Chao Liu Yan Li Wuhui Chen School of Electrical and Information Engineering Jiangsu University Zhenjiang 212013 Jiangsu People's Republic of China State Grid Qinghai Economic Research Institute Xining 810008 People's Republic of China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100192 People's Republic of China

Application of series compensation transmission lines to enhance the long-distance transmission capability of photovoltaic (PV) plants is the most economical technical measure. To investigate the impact of series compensation on operating performance of large-scale PV plants, the simulation research is performed in this study. The detailed model of large-scale PV plants connected to the grid through series compensated lines is developed using power systems computer aided design (PSCAD)/electromagnetic transients inccluding DC (EMTDC) software. Using the detailed model, the performances of active and reactive power outputs, voltage and current profiles of PV plants are investigated for different levels of series compensation and strengths of AC system during short-circuit faults. The simulation results show that series compensation and strong AC system can effectively improve the transient operation performance of the PV power plant. With the increase of the series compensation degree and the strength of AC system, the fault ride-through performance of PV plants is improved.

关键词： photovoltaic power systems power transmission lines power grids power generation control series compensation degree fault ride-through performance large-scale PV plants series compensation transmission lines long-distance transmission capability photovoltaic plants operating performance detailed model series compensated lines transient operation performance PV power plant

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Multi-vector Model Predictive Direct power control for Fault-tolerant Bidirectional AC/DC Converter

Multi-vector Model Predictive Direct Power Control for Fault...

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Workshop on Predictive control of Electrical Drives and power Electronics (PRECEDE)

作者： Yanyan Li Guohao Li Zhenjun Wu Shiyang Hu Nan Jin Leilei Guo Kui Luo College of Electrical and Information Engineering Zhengzhou University of Light Industry Zhengzhou China College of Electrical and Information Engineering Hunan University Changsha China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

So as to reduce the current harmonics and power ripple after bidirectional AC/DC converter bridge arm fault, a multi-vector model predictive fault-tolerant control method is proposed. First, the system of bidirectional AC/DC converter with a bridge arm fault is reconstructed. Then the operation mechanism of fault-tolerant converter structure and the relationship of voltage vectors are clarified. Second, the power prediction model under the converter fault-tolerant operation mode is established. Multiple voltage vectors are used in a switching cycle. The new synthetic vector is used to track the optimal vector. The switching order of each vector is fixed to realize switching frequency concentrate. Third, the simulation model is built. The results show that the bidirectional AC/DC converter can operate fault-tolerant operation after the bridge arm failure under the control strategy proposed and the output current harmonics and power ripples are reduced. The system has good steady-state and dynamic performance.

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Bus-bar Splitting on Enhancing Static Voltage Stability for The Base and Contingency Cases

Bus-bar Splitting on Enhancing Static Voltage Stability for ...

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

作者： Lei Wang Hsiao-Dong Chiang Wenjing Lou School of Electrical and Electronic Engineering Shandong University of Technology Zibo China School of Electrical and Computer Engineering Cornell University Ithaca NY USA State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Insitute Beijing China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

To enhance the voltage stability of power system, the bus-bar splitting is employed on the look-ahead base case with a credible set of disturbances. The purpose of this paper is identify a `best' bus-bar splitting scheme for a look-ahead power system that can enhance the load margin of the look-ahead power system and ensure the load margins of contingency cases are great than a threshold preset by operators. Considering the complexity of online solution of the proposed problem, the group property of contingencies and a four-stage methodology are proposed in this paper. Results of the IEEE 118 bus-power system indicate the effectiveness of bus splitting and the four-stage methodology.

关键词： Conferences System integration power system stability power industry Internet Voltage control Load flow control

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Research on the Active power Coordination control System for Wind/Photovoltaic/Energy Storage

Research on the Active Power Coordination Control System for...

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IEEE Conference on Energy Internet and Energy System Integration

作者： Zhongyang Wang Di Luo Ruiqiu Li Lu Zhang Chao Liu Xinshou Tian Yan Li Yuanyuan Su Jian He Shaanxi Electric Power Corporation Economic Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems State Grid Beijing Electric Power Corporation

ISBN: (纸本)9781538614280

The renewable energy can't respond the frequency change of system because of the use of converters and its control systems, which has become a novel challenge to frequency stability of system with large-scale renewable energy. The paper give an active power coordination control system for wind/photovoltaic/energy storage system, whose principle is analyzed. When the system frequency decreases, the wind/photovoltaic/energy storage system should increase output active power, then the renewable energy is firstly used to increase output active power. When the system frequency increases, the wind/photovoltaic/energy storage system should decrease output active power, then the energy storage is firstly used to decrease output active power. The effectiveness of the proposed control can be proved.

关键词： Active power coordination control Wind turbine Photovoltaic Energy storage Frequency stability

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Article statistical characteristics and environmental conditions of the warm-season severe convective events over north China

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Atmosphere 2021年第1期12卷

作者： Ma, Ruoyun Feng, Shuanglei Jin, Shuanglong Sun, Jianhua Fu, Shenming Sun, Shijun Han, Hong Key Laboratory of Cloud-Precipitation Physics and Severe Storms Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China College of Earth and Planetary Sciences University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100085 China Electric Power Meteorology State Grid Corporation of China Joint Laboratory Beijing100192 China Zhuhai519000 China International Center for Climate and Environment Sciences Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China Emergency Management Center State Grid Shandong Electric Power Company Jinan250001 China

Based on severe weather reports, surface precipitation observations, surface routine observations, and the European Center for Medium-Range Weather Forecasts ERA5 reanalysis dataset during the warm seasons (May–September) of 2011–2018 over North China, this paper analyzes the statistical characteristics and environmental conditions of three types of severe convective events. Results are compared between events with different altitudes (i.e., mountains and plains), severities (i.e., ordinary and significant), and months. Hail and thunderstorm high winds (THWs) are more common over the mountains whereas short-duration heavy rainfall (SDHR) is more frequent over the plains. The occurrence frequency of severe convective events exhibits distinct monthly and diurnal variations. Analyses of the environmental parameters provide reference for the potential forecasting of severe convective events over this region. Specifically, the 850–500 hPa temperature lapse rate (LR85), pseudo-equivalent potential temperature at 500 hPa (thetase500), and precipitable water (PW) are skillful in distinguishing hail and THW environments from SDHR environments, and thetase500 is useful in discriminating between hail and THW environments. The convective environments over the plains are characterized by significantly higher (lower) PW (LR85) compared with mountains. The skill of these parameters in forecasting the severity of the convective hazards is limited. Probability distributions in the two parameters space indicate that the occurrence of significant hail requires both higher most unstable convective available potential energy (MUCAPE) and stronger 0–6 km bulk wind shear (SHR6) compared with ordinary hail. Compared with ordinary THWs, the significant THWs over the mountains depend more on the SHR6 whereas those over the plains rely more on the MUCAPE. The significant SDHR events over the plains tend to occur under a variety of instability conditions. The thermodynamic parameters (i.e., MU

关键词： Potential energy

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Extending CSP to detect motor imagery in a four-class BCI

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Journal of Information and Computational Science 2012年第1期9卷 143-151页

作者： Fang, Yonghui Chen, Minyou Zheng, Xufei Harrison, R.F. State Key Laboratory of Power Transmission Equipment and System Security New Technology Chongqing University Chongqing 400044 China School of Electronic and Information Engineering Southwest University Chongqing 400715 China College of Computer Science Sichuan University Chengdu 610065 China Department of Automatic Control and Systems Engineering University of Sheffield United Kingdom

Brain Computer Interface (BCI) provides a direct communication channel from brain to peripheral equipment. Common Spatial Patterns (CSP) is wildly used to extract features for electroencephalogram (EEG). However, basic CSP only suits two-class discrimination and is unable to solve multi-class discrimination problems. This paper proposes a modified CSP method termed Bisearch Common Spatial Patterns (BCSP) to solve a four-class BCI problem. In BCSP, the Fisher's Linear Discriminant Analysis (LDA) is used to discriminate among the four motor imagery tasks. The BCSP can effectively reduce the number of the basic CSP, and thus makes the overall classification procedure more efficient. The Graz BCI data set from the BCI 2008 competition be used to verify the effectiveness of the BCSP. simulation results show that BCSP has better performance than other extension schemes. © 2012 Binary Information Press January 2012.

关键词： Brain computer interface

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