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Research on hybrid real-time simulation interface of RTDS digital and physical model 9

Research on hybrid real-time simulation interface of RTDS di...

引用

9th China International Conference on Electricity Distribution, CICED 2021

作者： Cai, Haiqing Guo, Qi Su, Mingzhang Liu, Shiping Wu, Wencong Huang, Libin Electric Power Research Institute China Southern Power Grid State Key Laboratory of HVDC China National Energy Power Grid Technology R&D Centre Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou510663 China Electric Power Research Institute of State Grid Jiangxi Electric Power Company Nanchang330096 China

ISBN: (纸本)9781728192291

Digital real-time simulation of physical mixing can connect renewable energy and new energy storage micro-grid physical systems to real-time simulation systems for research and testing. This paper selects ITM interface algorithm to implement digital physical hybrid real-time simulation of energy system. Through its digital-to-analog interface with external photovoltaic equipment to form a digital physical closed loop system. A hardware-in-the-loop simulation platform for photovoltaic grid-connected system is designed. In this paper, the characteristics of photovoltaic grid-connected systems are studied using a digital-physical hybrid hardware-in-the-loop simulation method. Multidimensional tests such as photovoltaic inverter function and dynamic performance tests and microgrid stability tests are performed, to verify the accuracy and stability of the digital-analog hybrid real-time simulation interface. The simulation provide an economical, stable and accurate test platform for future new energy grid-connected equipment testing. © 2021 IEEE.

关键词： Hardware-in-the-loop simulation

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Research on Automatic Construction and Correlation Method of Virtual and Real Loops in UHV DC control and Protection System

Research on Automatic Construction and Correlation Method of...

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2021 IEEE Sustainable power and Energy Conference, iSPEC 2021

作者： Lu, Yuanhong Guo, Qi Liu, Zhijiang Li, Shuyong Guo, Haiping Zeng, Guanming China Southern Power Grid State Key Laboratory of Hvdc Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China Guangdong Prov. Key Laboratory O F Intelligent Operation and Control for New Energy Power System Guangzhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China

ISBN: (纸本)9781665414395

At present, in the research on virtual and real loops of control and protection systems, scholars at home and abroad are mainly focusing on the field of AC digital substations, and there is less research on the virtual and real loops of UHV DC control and protection systems. Aiming at this problem, this paper proposes an automatic construction and correlation method for virtual and real loops of UHV DC control and protection system. This method automatically constructs the real circuit by analyzing the design drawings and the optical cable inventory, analyzing the DC visualization program to automatically construct the virtual circuit, and then automatically correlates the virtual and real circuits based on the graph depth traversal algorithm. The practical application in UHV DC engineering shows that this method can help relevant personnel complete the automatic construction and correlation of virtual and real loops, and improve the convenience of operation and maintenance of the UHV DC control and protection system. © 2021 IEEE.

关键词： Correlation methods

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Method for Selecting Optimal Access Point of Offshore Wind Farm Integrated by VSC-HVDC 6

Method for Selecting Optimal Access Point of Offshore Wind F...

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6th International Conference on power and Renewable Energy, ICPRE 2021

作者： Tan, Zukuang Liu, Yutian Liu, Xiaoming Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China Economic and Technology Research Institute State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9781665449618

Because of the rapid growth of offshore wind farm (OWF) capacity, voltage-source-converter-based high-voltage direct-current (VSC-HVDC) transmission scheme is becoming a competitive transmission scheme. This paper presents a method for selecting the optimal access point of offshore wind farm integrated with VSC-HVDC. The method takes into account capability of wind power accommodation, voltage support from onshore VSCs, voltage fluctuation caused by the change of wind power, vulnerability of power system transmission networks, and construction costs. This multi-objective decision-making problem is suggested to be solved based on the theory of information entropy and fuzzy analytic hierarchy process (FAHP) method. The method is applied in Shandong Province where is developing offshore wind power rapidly to select an optimal access point by the use of PSS/E. The results demonstrate the effectiveness of the proposed method for selecting the access point of the OWF. © 2021 IEEE.

关键词： Offshore wind farms

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Optimization of emergency load shedding employing social learning-based PSO

Optimization of emergency load shedding employing social lea...

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2021 International Conference on Computer Engineering and Artificial Intelligence, ICCEAI 2021

作者： Xie, Yongsheng Feng, Changyou Gai, Chenhao Li, Changgang State Grid Xinjiang Electric Power Corporation Xinjiang Urumqi China State Grid Corporation of China Beijing China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education China Shandong Jinan China

ISBN: (纸本)9781665439602

Emergency load shedding (ELS) is an essential measure to prevent power system accidents from expanding. Economy and security need to be optimized comprehensively for ELS. In this paper, an ELS optimization model is established, which takes the minimum load shedding amount as the objective function and the transient angle security, transient voltage deviation acceptability, transient frequency deviation acceptability, maximum controllable load as constraints. The social learning-based particle swarm optimization (SL-PSO) algorithm is proposed to solve the ELS optimization problem, which adopts adaptive parameters. The portable and open-source power system dynamic simulation toolkit (STEPS) is used for numerical simulation to check the feasibility of the solution. Finally, the efficiency of the solution is improved by parallel computing. The proposed model and algorithm are validated with the IEEE 39 bus test system. © 2021 IEEE.

关键词： Particle swarm optimization (PSO)

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Bi-Level Joint Planning of Transmission Network and Energy Storage System to Enhance Flexibility

Bi-Level Joint Planning of Transmission Network and Energy S...

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power Energy Systems and Applications (ICoPESA), International Conference on

作者： Xiangfei Meng Yi Sun Shihao Zou Yongji Cao Hengxu Zhang Rui Liu Xian Wang Yao Wang Economic and Technological Research Institute of State Grid Shandong Electric Power Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China Academy of Intelligent Innovation Shandong University Jinan China

The high proportion of renewable energies make the operation state of the power system more complicated. This paper proposes a bi-level joint planning approach considering the flexibility of the power system, which proposes for the transmission network and energy storage. By building a network flexibility index and adding a flexibility objective function, a bi-level optimization model is established to improve the power system flexibility and reducing investment cost. In addition, the outer model is solved by the snake optimization algorithm. The analysis results show that the joint planning model can effectively improve the flexibility of power system, and has economic advantages compared with the transmission lines expansion.

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Short-Term Missing Load Data Generation Method for Security Risk Analysis Based on Adaptive Rate Correction and Bidirectional ARIMA Model

Short-Term Missing Load Data Generation Method for Security ...

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

作者： Ye Tao Shuolin Zhang Hongli Duan Jiongcheng Yan Chao Song Pengming Zhai Chihan Zhou Lisen Feng School of Electrical Engineering Shandong University Jinan China Changyi Power Supply Company of State Grid Shandong Electric Power Company Weifang China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China Shandong Future Intelligent Technology Co. Ltd Jinan China Wenshan Power Supply Bureau of Yunnan Power Grid Co. Ltd. Wenshan China State Grid Kunming Power Supply Company Kunming China Shandong Electric Power Engineering Consulting Co. Ltd. Jinan China

ISBN: (数字)9798331521844

ISBN: (纸本)9798331521851

Load forecasting is fundamental to the security risk analysis of the power system operation. However, the historical data required for load forecasting often suffers from missing values due to sensor failures, communication disruptions, and other factors, leading to a decline in forecasting accuracy. The ARIMA-based time series model has unique advantages in generating missing data. However, current research on ARIMA mainly focuses on data generation in a single data dimension and often overlooks the correction of anomalies in the original load data, which severely reduces the accuracy of data generation. To address this, a method for generating short-term missing load data based on adaptive rate correction and bidirectional ARIMA models is proposed. First, an adaptive rate detection model is used to detect anomalous data, and the weight coefficients are optimized by minimizing the Mean Squared Error (MSE) to correct the anomalies. Then, a bidirectional ARIMA model is established for missing data generation. Finally, using historical load data from a city as an example, the effectiveness of the proposed method is verified.

关键词： Adaptation models Accuracy Load forecasting Time series analysis Predictive models Data collection Data models Security Risk analysis Load modeling

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The Commonality of Economic Dispatch Models Based on Scenario/Interval

The Commonality of Economic Dispatch Models Based on Scenari...

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

作者： Yishen Wang Renjie Wei Fengbin Sun Ruihan Zhang Tiechui Yao Lan Ren Future Science Park State Grid Smart Grid Research Institute Co Ltd Beijing China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education State Grid Smart Grid Research Institute Co Ltd Shandong University Jinan China

With the increasing penetration of renewable energy, how to maximize the acceptance of renewable energy on the basis of satisfying the economy security and reliability of the power system is an urgent problem to be solved. In this area, mathematical optimization methods such as robust optimization and stochastic optimization are generally used to construct models based on different uncertainty descriptions. Previous studies have shown that robust optimization has high computational efficiency but conservative results, while stochastic optimization has low computational efficiency but accurate results. Therefore, different studies will choose suitable methods based on the characteristics of the models to be constructed. However, existing studies have not thoroughly discussed whether there is a connection between the two methods. This paper first proposes an economic dispatch model based on scenario considering the admissible region of net load, and introduces a new affine strategy to transform this model into a deterministic form. Secondly, based on further exploration of the characteristics of economic dispatch models based on scenario/interval, the paper concludes that the two models are common when they are sufficiently precise. Finally, the correctness of the conclusion is verified on the IEEE-RTS system.

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A Numerical Simulation Study on Bubble Size Distribution in a Variable Diameter Pipeline based on CFD-PBM

A Numerical Simulation Study on Bubble Size Distribution in ...

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第43届中国控制会议

作者： Lei Zhang Xu Chen Jiamei Shi Xuyang Zhang Shuo Zhang The Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Electric Power Science Research Institute of State Grid inner Mongolia East Electric Power Co. Ltd. CHINA KUNLUN CONTRACTING & ENGINEERING CORP

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

This study aims to investigate the characteristics of bubble size distribution within a variable diameter pipeline. The pipeline is divided into five main sections: inlet section, contraction section, intermediate section, expansion section, and outlet section. A combination of numerical simulation and computational fluid dynamics(CFD) is employed to understand the impact of different pipe geometries on bubble behavior. This paper uses a set of boundary conditions and methods which are proven correct from an existing study for simulation. In the FLUENT 19.0 software, the Eulerian two-phase flow model combined with the standard k-ε turbulence model is used to simulate the bubble size distribution within a pipe and the results were compared across different numerical methods: CM, QMOM, EQMOM, CQMOM, and ECQMOM. The combination is based on the inner mechanism in CFD solver. The significance of this study lies in its contribution to the common variable diameter pipeline systems in industrial processes. A deeper understanding of bubble dynamics is crucial for optimizing design and operation. This work not only provides new theoretical guidance for gas-liquid two-phase flow but also serves as a practical guide for chemical, petroleum,and other fields involving multiphase flow.

关键词： Variable diameter pipeline bubble size distribution CFD gas-liquid two-phase flow

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Coordinated control Strategy of grid-Connected Photovoltaic Generation System

Coordinated Control Strategy of Grid-Connected Photovoltaic ...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Jian Zhang Hengxu Zhang Yongji Cao Xiaoming Liu Shihao Zou Ruicong Ma Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China Academy of Intelligent Innovation Shandong University Jinan China State Grid Shandong Electric Power Company Economic and Technological Research Institute Jinan China

The development and utilization of renewable energy is imperative, and photovoltaic power generation has broad development prospects. However, photovoltaic power generation systems are limited by many external conditions, which bring more problems to power output and grid connected power quality. Therefore, in order to make better use of photovoltaic power generation, this paper proposes a coordinated control strategy of the grid-connected photovoltaic generation system. The operating principle, mathematical model, and output characteristics of photovoltaic cells are analyzed. Then, the MPPT algorithm and the operating principle of DC/DC converters are studied. Moreover, the structure and control strategy of grid connected inverters are analyzed. A simulation model of a three-phase photovoltaic grid-connected inverter system is established, and a control strategy based on grid voltage orientation is adopted. A case study is conducted to verify the proposed control strategy.

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Design of a curled hyper-redundant manipulator and the motion control with tip-following algorithm

Design of a curled hyper-redundant manipulator and the motio...

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第35届中国控制与决策会议

作者： Aoshun Zhang En Li Feng Zhang Rui Guo Mingrui Luo Yuwei Zhang School of Artificial Intelligence University of Chinese Academy of Sciences The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Engineering Laboratory for Intelligent Industrial Vision CAS State Grid Intelligent Technology Co.Ltd. State Grid Shandong Electric Power Company Jinan Power Supply Company

In order to meet the operational needs in some narrow environments,the hyper-redundant snake-shaped manipulator has received extensive attention and has been widely studied due to its compact shape and multiple degrees of *** present,the research of hyper-redundant manipulator mainly focuses on the straight push *** the limitation of working space,this paper designed a hyper-redundant manipulator delivered by a curled *** to the characteristics of turntable delivery,a tip-following algorithm based on curve fitting and a tip-following strategy based on terminal posture record are ***,with the algorithm applied to the physical robot we made,we successfully realized the tipfollowing motion control of the hyper-redundant manipulator.

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