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

作者： Ying Liu Qingsheng Zhao Dingkang Liang Yuhuan Han Yi Zhang Hehong Guo Shanxi Key Laboratory of Power System Operation and Control College of Taiyuan University of Technology Taiyuan China State Grid Jincheng Power Supply Company Jincheng China State Grid Power Supply Company Taiyuan China

In order to reduce the large cost waste caused by the problems of heavy workload, low efficiency, complex operation site and limited experience level of operators in the daily measurement error verification and operation maintenance management of electric energy meters. Based on the data collected by electricity information, this paper establishes a big data analysis model, and proposes a data-driven calculation method for the operation error of electric energy meter. Based on the collected file data of a station area, the power supply data of the assessment table and the power consumption data of all user tables, the equation is established according to the energy conservation, and the linear equations are established by using multi-metering cycle data. Combined with deep learning, the short-term abnormal data of the electric energy meter are located and eliminated, and the algorithm of base tracking and Moore-Penrose generalized inverse is used to solve the operation error of the intelligent electric energy meter. As an important reference for the evaluation of the operation state of the electric energy meter, it provides effective support for line loss management, operation and maintenance of the electric energy meter and accurate replacement, which can effectively reduce the number of on-site operation and maintenance personnel and improve the accuracy of fault analysis and location. The accuracy of the method is verified by the actual station data, and the trial operation results are good.

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Value-at-Risk Measurement and Case Analysis of Electricity Consumption

Value-at-Risk Measurement and Case Analysis of Electricity C...

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

作者： Yuesheng Yang Qingsheng Zhao Dingkang Liang Zhiqin Qin Yi Zhang Hehong Guo Shanxi Key Laboratory of Power System Operation Control College of Taiyuan University of Technology Taiyuan China State Grid Jincheng Power Supply Company Jincheng China State Grid Power Supply Company Taiyuan China

Accurate and timely electricity consumption prediction results can not only provide calculation basis for power project investment, but also provide data support for optimal operation decision of power grid. power demand shows different trends of change and development at different time stages, with complex changes, random occurrence and other characteristics. In order to predict the change of electricity consumption at different times, this paper uses VaR (Value-at-Risk) method to evaluate the electricity consumption at different times. VaR method is an important risk management method, which provides people with a comprehensive measurement of market risk and has been widely used. This paper first gives the relevant introduction of VaR; Then the Historical Simulation (HS) method and Extreme Value Theory (EVT) method are introduced; The VaR value of electricity consumption is calculated by these two methods, and the results are visualized and compared, and finally the effect of the two methods is evaluated.

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A multi-dimensional quantitative evaluation framework for resources complexity of new energy stations based on grey correlation analysis

A multi-dimensional quantitative evaluation framework for re...

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Energy Technologies for Future Grids (ETFG), IEEE International Conference on

作者： Dong Lv Yun Wang Fei Xu Li He Yuzhi Liu Wenjing Yang Mengjiao Chen Nan Li Haonan Dai Fei Wang China Three Gorges Renewables(Group) Co. Ltd Beijing China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

In recent years, new energy has developed rapidly around the world and its role in promoting energy transformation is obvious to all, but it also poses a serious challenge to the safety and stability of the power system caused by the random fluctuation of output. New energy forecasting is currently considered to be the key technique to improve the operation level of the new power system. However, influenced by geographical location, installed capacity, forecasting scale, and other factors of the forecasting object, the power forecasting accuracy of each station varies significantly, which hinders the power generation group from delicacy management of owned new energy stations. Resource complexity evaluation is the key to solving the above challenges, but there are still gaps in related research currently. In this paper, a multi-dimensional quantitative evaluation framework for the resource complexity of new energy stations is proposed, aiming to realize the real-time dynamic evaluation of the complexity of new energy station resources. Firstly, wholeness and locality are defined as two dimensions to comprehensively evaluate the resources’ complexity. Secondly, complexity evaluation indicators such as overall range, frequency, and sampling loss area are designed under these two dimensions. Lastly, all indicators are assembled to obtain a comprehensive score based on the gray correlation analysis. The data from two real wind farms and two real photovoltaic power stations are adopted for simulation calculation. The results indicate that the proposed approach can accurately quantify the complexity of resources of a new power station, thus providing a reference for the establishment of the assessment basis of the power forecasting accuracy of the station.

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Enhancing power system Stability: A Machine Learning Approach with SVM, Random Forest and Deep Learning Utilizing Wide Area Measurements 7

Enhancing Power System Stability: A Machine Learning Approac...

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

作者： Song, Chao Tan, Mengcan Chu, Mingzhao Zhou, Chihan Tian, Guojie Mu, Longfei Shandong Future Intelligent Technology Co. Ltd Shandong Electrical Engineering & Equipment Group Co. Ltd Jinan China Fengtai Supply Company Distribution Operation and Maintenance Center State Grid Beijing Electric Power Company Beijing China State Grid Shandong Electric Power Company Changyi Supply Company Marketing Department Changyi China State Grid Kunming Power Supply Company Kunming China Shandong Tianyu Changtong Energy Group Co. Ltd. Qingdao China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350366945

As the scale and complexity of modern power systems continue to expand, the importance of system stability has become increasingly critical. To ensure the stable operation of the power system, this paper proposes a power system stability analysis and optimal control strategy based on the Wide Area Measurement system (WAMS). Initially, a novel stability evaluation method is established using WAMS data and machine learning techniques, enabling effective handling of complex power system data and providing accurate stability assessments. Following this, an optimal control strategy is designed based on the evaluation method, aimed at real-time adjustments of power resource allocation to enhance system stability and responsiveness. Simulation analyses confirm the effectiveness and reliability of the proposed approach, indicating that the optimized control strategy significantly improves the system's performance under disturbances. This paper presents an innovative method for the stable operation of integrated power systems, contributing to the enhancement of power supply quality within the grid and ensuring the safe and efficient operation of the overall power system. © 2024 IEEE.

关键词： control system stability

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Research on Operating system Runtime Jitter control Method for Electromagnetic Transient Real time Simulation Calculation

Research on Operating System Runtime Jitter Control Method f...

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Computer Technology and Information Science (ISCTIS), International Symposium on

作者： Qi Guo Tianyu Guo Yuanhong Lu Haiping Guo Libin Huang Liang Tu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

Real-time electromagnetic transient simulation can quickly analyze and solve the problems in complex large-scale power systems, realize accurate prediction and diagnosis of faults, and is a necessary means to promote the implementation of new power systems. However, the real-time simulation of electromagnetic transient puts forward strict requirements for the real-time performance of the underlying operating system. In this paper, the test method of system runtime jitter on Linux platform is designed, and the causes of jitter are analyzed based on the test results, and the control method of runtime jitter is studied. The experimental results show that the jitter of the system can be controlled in nanosecond level after using the methods of interrupt shutdown, CPU core binding and configuration of NOHZ_FULL, which can meet the needs of real-time simulation of electromagnetic transient.

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Nonlinear Optimal control Method for DC/DC Converters in DC Microgrid Based on the Differential Geometry Theory

Nonlinear Optimal Control Method for DC/DC Converters in DC ...

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IEEE Information Technology and Mechatronics Engineering Conference (ITOEC)

作者： Tianyu Guo Haiping Guo Liang Tu Libin Huang Yuanhong Lu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

The DC/DC converter in the DC microgrid is the core device that supports the efficient grid connection of power electronic drive devices such as new energy generation units and energy storage devices. In view of this, this paper proposes a nonlinear optimal control method for DC/DC converters based on differential geometry theory, aiming at the nonlinear characteristics of the mathematical model of the converter. First, the topology structure of the DC microgrid is analyzed, and the mathematical model of the DC/DC converter is established; Secondly, the basic principle of power system nonlinear control based on differential geometry theory is discussed, and the nonlinear optimal controller for DC/DC converter is designed based on the accurate linearization method in differential geometry theory to quickly suppress power disturbance and realize the efficient grid connection application of power electronic drive equipment. Finally, the correctness and effectiveness of the proposed nonlinear optimal method were verified based on MATlab/simulink.

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Research on Back-to-Back HVDC Additional Frequency Synchronous control Strategy Applied to Asynchronous Interconnected systems

Research on Back-to-Back HVDC Additional Frequency Synchrono...

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Sustainable power and Energy Conference (iSPEC)

作者： Qinlei Chen Libin Huang Shuyong Li Xuehua Lin Wencong Wu Mingkang Wu Liang Tu Qi Guo CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China State Key Laboratory of HVDC China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Guangzhou China

When regional power grid is asynchronized by high voltage direct current (HVDC) systems, the division of frequency regulation resources and reserve capacity weakens the system’s ability to resist load fluctuation and fault disturbance. With the continuous promotion of electricity market construction in China, the demand of building a unified frequency regulation auxiliary market for the whole power grid is increasingly frequent. In this paper, with the objectives of improving the overall frequency regulation performance of asynchronous interconnected systems and refers to the power transmission characteristics of AC transmission lines. The additional frequency synchronous control (AFSC) strategy of back-to-back HVDC was studied, which enables back-to-back HVDC to automatically adjust the transmission power based on the frequency difference on both sides. Then, taking Luxi back-to-back HVDC of China Southern power Grid (CSG) as an example, the specific implementation of AFSC strategy is studied, and the effectiveness of the proposed strategy is verified by real-time simulation. Finally, the on-site practical application of this strategy was analyzed.

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Group equivalent modeling and analysis of group subsynchronous oscillation of direct-drive wind turbine 5

Group equivalent modeling and analysis of group subsynchrono...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Dong, Xuetao Zhao, Yue Zhai, Wenchao Wang, Zhenyang Liu, Kan Yan, Gangui Electric Power Research Institute of State Grid Xinjiang Electric Power Co. Ltd. Dept. Xinjiang Electric Power System Whole Process Simulation Key Laboratory Urumqi China Northeast Electric Power University Dept. Min. of Educ. Key Lab. of Modern Power System Simulation Control and Green Power Technology Jilin China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Taking the direct drive wind farm connected to weak AC system as the research object, combined with the actual topology of a wind farm in Hami, Xinjiang, this paper establishes the detailed model and cluster aggregation model of direct drive wind farm on PSCAD / EMTDC platform, and comprehensively analyzes the effectiveness of aggregation model under sub synchronous oscillation (SSO). The results show that when SSO occurs, the cluster equivalent model can accurately reflect the output characteristics, damping characteristics and oscillation frequency of the wind farm. According to the actual topology of a wind power collection station in Hami, Xinjiang and the actual operation of a wind power collection station on a certain day, the equivalent clustering is carried out. © 2022 IEEE.

关键词： Wind power

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A Coordinated Optimization Method for Source-Load-Storage in Renewable power system Considering Overcharge/Overdischarge Cost of Stored Energy

A Coordinated Optimization Method for Source-Load-Storage in...

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IEEE Information Technology, Networking, Electronic and Automation control Conference

作者： Tianyu Guo Libin Huang Haiping Guo China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute 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

Building a renewable power system with renewable energy as the main part can give full play to the regulatory capacity of sources, network, loads, storage and other types of controllable resources. It is the key to promoting clean energy transformation and achieving the goal of carbon peaking and carbon neutralization, and has become a research hotspot in the energy field. In this paper, a coordinated optimization method for source load storage in renewable power system considering overcharge/overdischarge cost of stored energy is proposed. Two state of Charge (SOC) thresholds for the energy storage are set, when the SOC exceeds the corresponding threshold, the cost of overcharge/overdischarge penalty is added respectively to effectively balance the security and regulation capability of energy storage; Then, set the wind/light abandonment cost and the demand response cost of adjustable load, to coordinate the output of source, load and energy storage, to improve the regulation capacity of the renewable power system. Finally, the correctness and rationality of the method proposed in this paper are effectively verified.

关键词： Renewable energy sources Wind Costs Optimization methods Regulation Demand response power systems

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A Lightweight Multi-Modal Model for Short-Term Solar Irradiance Prediction Based on Knowledge Distillation Strategy

SSRN

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SSRN 2023年

作者： Zhang, Yunfei Shen, Jun Li, Jian Chen, Xu Liu, Danyang School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

Solar energy plays an important role in the future energy system. However, the inherent uncertainty of solar energy brings great difficulties to the grid connection and short-term energy planning and dispatching. Deep learning method makes it possible to predict the short-term solar energy with its powerful learning ability, but its huge training process and parameter adjustment bring difficulties to the actual deployment. Therefore, this paper proposes a new lightweight multi-modal model for short-term solar irradiance prediction based on knowledge distillation strategy, which greatly reduces complexity while ensuring acceptable accuracy, facilitating actual deployment. Firstly, a teacher model with multi-modal inputs based on the Informer framework is built to guide the student model. Then, the student model with knowledge distillation is constructed to obtain a lightweight model with the same input but greatly reduced trainable parameters. The complexity of lightweight model and the optimal settings of loss function and its ratio in knowledge distillation are studied. Results show that the lightweight model can reduce the trainable parameters and inference time by 97.7% and 52.5%, respectively. The normalized root mean square error is reduced by 24.87% compared with the student model without knowledge distillation, verifying the effectiveness of proposed method. The soft loss uses the student loss, and the ratio of the soft loss is 0.3, which can obtain the best training results for the lightweight model. The structure with 3 residual blocks and 3 LSTM layers is proved to be the best for the lightweight model in the solar irradiance prediction task. © 2023, The Authors. All rights reserved.

关键词： Forecasting

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