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9th China International Conference on Electricity Distribution, CICED 2021

作者： Haiqing, Cai Qi, Guo Zhida, Huang Shiping, Liu Wencong, Wu Jiang, Yu Libin, Huang Zebing, Shi Shuyong, Li 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 CSG Power Dispatch Control Center Guangzhou510663 China

ISBN: (纸本)9781728192291

The action accuracy of the fault line selection device is of great significance for ensuring the safe operation of the power system and personal safety. In view of the current imperfect function and the low accuracy of the small current grounding line selection device, the function of line selection of the device is further optimally designed and studied, and the post-acceleration and wheel-cutting functions are put forward and realized. The RTDS simulation model of non-solidly earthed network is established and connected with the actual grounding line selection device to form a closed-loop real-time simulation testing system. By setting up various test items, different types of ground fault test of non-solidly earthed net-work are carried out. The results of simulation show the accuracy of the line selection function, which provides important technical guidance for the implementation of the fault line selection device. © 2021 IEEE.

关键词： Electric grounding

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Two-step Optimal Allocation of Stationary and Mobile Energy Storage Systems in Resilient Distribution Networks

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Journal of Modern power Systems and Clean Energy 2021年第4期9卷 788-799页

作者： Xinyi Jiang Jian Chen Qiuwei Wu Wen Zhang Yicheng Zhang Jie Liu Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061China Center for Electric Power and Energy(CEE) Department of Electrical EngineeringTechnical University of Denmark(DTU)2800 Kongens LyngbyDenmark Institute for Infocomm Research(I2R) Agency for ScienceTechnology and Research(A*STAR)Singapore State Grid Yantai Power Supply Company YantaiChina

Energy storage systems (ESSs) are acknowledged to be a promising option to cope with issues in high penetration of renewable energy and guarantee a highly reliable power supply. In this paper, a two-step optimal allocation model is proposed to obtain the optimal allocation (location and size) of stationary ESSs (SESSs) and mobile ESSs (MESSs) in the resilient distribution networks (DNs). In the first step, a mixed-integer linear programming (MILP) problem is formulated to obtain the preselected location of ESSs with consideration of different scenarios under normal operation conditions. In the second step, a two-stage robust optimization model is established to get the optimal allocation results of ESSs under failure operation conditions which are solved by column-and-constraint generation (C&CG) algorithm. A hybrid ESS allocation strategy based on the subjective and objective weight analysis is proposed to give the final allocation scheme of SESSs and MESSs. Finally, the proposed two-step optimal allocation model is demonstrated on a modified IEEE 33-bus system to show its effectiveness and merits.

关键词： Resilient distribution network stationary energy storage system mobile energy storage system optimal allocation

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Accurate comparison method of load data of power outage events of users

Accurate comparison method of load data of power outage even...

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Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Chenying Yi Yangjun Zhou Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co.Ltd Nanning China

In this paper, aiming at the problems of low accuracy and difficulty in comparison of existing customer power outage load data, an accurate comparison method of customer power outage load data is proposed, which includes multiple linear regression model and verification, residual diagram auxiliary analysis, F and R test and accurate method comparison. In this paper, multiple linear regression is adopted, considering the influence of daily maximum temperature, daily minimum temperature, daily average temperature, precipitation, humidity and other factors on the load data model of power outages. Every time an independent variable is introduced, the variables already in the equation will be F-tested, and the variables that meet the elimination criteria will be eliminated one by one. In addition, residual diagram auxiliary analysis, F and R tests will ensure the accuracy of the processed load data of power outages and eliminate adverse effects. Error RES and R2 goodness-of-fit test are used for comparison. Compared with traditional methods, many methods are used to ensure the accuracy of data in the process of data processing, which greatly improves the reliability of data comparison.

关键词： Electrical engineering Temperature distribution Precipitation Linear regression Humidity Reliability engineering Data models

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Voltage Characteristic Analysis of Ultra-high Voltage Half-wavelength Transmission System Based on Wave Process Method

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Journal of Modern power Systems and Clean Energy 2020年第1期8卷 150-158页

作者： Hao Tian Yutian Liu Dong Yang Xiaohui Qin Yantao Zhang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinanChina State Grid Shandong Electric Power Research Institute JinanChina China Electric Power Research Institute BeijingChina

The voltage characteristics of a half-wavelength transmission(HWLT)system lack mechanism explanation and systematic *** this paper,both the steady-state and fault voltage characteristics are analyzed and explained based on the wave process *** analysis model is established for HWLT lines and wave propagation equations with different terminal conditions are *** steady-state conditions,voltage profiles along HWLT lines are depicted and partial overvoltage occurs when there is an overload or low-power *** addition,fault voltage characteristics are analyzed under load-rejection or short-circuit *** series resonance overvoltage will happen when short-circuit faults occur at certain positions and its peak value is influenced by grid strength or fault ***,a refined transmission line model is presented to consider non-ideal factors and simulation results demonstrate that geomorphic conditions and electromagnetic environments influence line voltage characteristics to a certain extent.

关键词： Half-wavelength transmission wave process method steady-state voltage fault voltage non-ideal factor

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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...

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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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Optimal Identification of Unknown Parameters of Photovoltaic Models Using Dual-Population Gaining-Sharing Knowledge-Based Algorithm

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INTERNATIONAL JOURNAL OF intelligent SYSTEMS 2023年第1期2023卷

作者： Xiong, Guojiang Li, Lei Mohamed, Ali Wagdy Zhang, Jing Zhang, Yao Chen, Hao Guizhou Univ Coll Elect Engn Guizhou Key Lab Intelligent Technol Power Syst Guiyang 550025 Peoples R China Minist Educ Key Lab Ind Internet Things & Networked Control Chongqing 400065 Peoples R China Guizhou Power Grid Co Ltd Zunyi Power Supply Bur Zunyi 563000 Peoples R China Cairo Univ Fac Grad Studies Stat Res Operat Res Dept Giza 12613 Egypt Amer Univ Cairo Sch Sci & Engn Dept Math & Actuarial Sci Cairo Egypt Guizhou Elect Power Grid Dispatching & Control Ctr Guiyang 550002 Peoples R China Fujian Prov Key Lab Intelligent Identificat & Cont Quanzhou 362216 Peoples R China

Establishing an accurate equivalent model is a critical foundation to describe the energy conversion characteristics of a photovoltaic system, which can support the research of fault analysis, output power prediction, and performance analysis of the photovoltaic system. However, the widely used equivalent models are highly nonlinear and have many unknown parameters, making it difficult to identify these parameters accurately. Our previous work found that the gaining-sharing knowledge-based algorithm (GSK) shows promising performance in solving this problem. But its efficacy is not enough to achieve accurate parameters within a relatively limited computing resource. In this context, a dual-population GSK algorithm (DPGSK), which introduces a dual-population evolution strategy for more excellent searchability, is proposed to address this issue. In each iteration, the population splits equally and randomly into two subpopulations, one of which performs the junior gaining-sharing phase while the other performs the senior gaining-sharing phase. Then two updated subpopulations merge to form a new population. This allows for a grand reconciliation of convergence speed and population diversity, giving DPGSK powerful optimization performance. Afterward, DPGSK is applied to five photovoltaic models and validated for performance against other advanced metaheuristics. Besides, the impact of different components on DPGSK is also investigated. Results and comparisons show that either component is indispensable to DPGSK, and DPGSK strengthens the convergence and achieves accurate and reliable results, demonstrating its superiority over other algorithms in solving this studied problem.

关键词： Optimization

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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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Voltage Stability Evaluation Considering Successive Commutation Failure Risk

Voltage Stability Evaluation Considering Successive Commutat...

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control, Electronics and Computer Technology (ICCECT), IEEE International Conference on

作者： Rui Ding Hengtong Wang Zhaohao Jia Yuanzhen Zhu Changgang Li Yongji Cao State Grid Huangdao Power Supply Company State Grid Shandong Electric Power Company Qingdao China State Grid Zibo Power Supply Company State Grid Shandong Electric Power Company Zibo China State Grid Jinan Power Supply Company State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Company State Grid Shandong Electric Power Research Institute 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

In order to evaluate the risk of successive commutation failure caused by voltage drop, a deep learning-based method is proposed in this paper. First, the mechanism of successive commutation failures is analyzed and the minimum second voltage drop value of the commutation bus after short-circuit fault is utilized as the index to quantify the severity of line outage contingencies. Then, to quickly evaluate the impact of multi-line outage failures on DC systems, a deep learning-based assessment network is built, of which the output is the minimum second voltage drop value of the commutation bus and inputs are steady-state features related to network structure. Moreover, a bus impedance matrix formation approach based on Woodbury formula is proposed, which is used in the calculation of input features and search index. Finally, simulation results based on a real-life AC/DC power system demonstrate that the proposed method significantly improves the risk evaluation efficiency of successive commutation failure.

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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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