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

作者： Hongzhe Zhang Wei Cong Hao Kong Ming Chen Zhen Wei Ministry of Education Key Laboratory of Power System Intelligent Dispatch and Control (Shandong University) Jinan China Qingdao Power Supply Company State Grid Shandong Electric Power Company Qingdao China

ISBN: (数字)9781728143033

ISBN: (纸本)9781728143040

When the tie line of the AC/DC hybrid system fails, the change of the electrical quantity on the inverter side is different from that of the traditional infinite AC power source. Sensitivity and reliability of traditional relay protection methods will be affected. A longitudinal protection method for AC / DC hybrid system based on voltage waveform comparison is proposed. The method bases on the conclusion that the waveform characteristics of the reference voltage and the measuring voltage are different in the case of internal and external faults, roughly determine the fault location through the Pearson correlation coefficient. Use longitudinal protection logic to give more accurate judgment results. The simulation results of PSCAD model show that the scheme in this paper can accurately identify the fault of the tie line of the AC/DC hybrid system, and has high reliability and good applicability.

关键词： Voltage measurement Mathematical model Hybrid power systems Inverters Sensitivity Fault location

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Study on Requirement of control and Stability with Renewable Energy Generation grid Integration 8

Study on Requirement of Control and Stability with Renewable...

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8th IEEE International Conference on Advanced power System Automation and protection, APAP 2019

作者： Yan, Li Xiaohui, Qin Yongning, Chi Xinshou, Tian Sujuan, Sun Shenglun, Zhuang Xiangmei, Kong Lei, Shi China Electric Power Research Institute China State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Beijing China State Grid Electric Power Research Institute Nari Group Corporation Nanjing China

ISBN: (纸本)9781728117225

Renewable energy generation has different static and transient characteristics than traditional synchronous power plants. The connection of renewable energy to the grid will have varying degrees of impact on the voltage stability of the local power grid. In a power grid with large renewable energy penetration, in addition to the voltage stability problem, renewable energy integration changes the original power flow distribution, line transmission power and inertia of the entire system, the power system transient stability has undergone tremendous changes. Renewable energy power generation technology and grid-connected scale are developing rapidly. The technical requirements for renewable energy and the research on grid-connected technology need to be continuously deepened and improved. However, some large-scale renewable energy off-grid accidents in recent years have brought serious threats to the security and stability of power systems, and have also raised higher research requirements for the stability of large-scale renewable energy grid-connected. This paper provides an introduction about the control and stability of renewable energy grid integration on both technologies and standardization aspects, and tries to explore potential the trend in active power and frequency control, reactive power and voltage control, security and stability control respectively caused by the integration of RE generation into power systems. © 2019 IEEE.

关键词： Renewable energy resources

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A hybrid model based on convolutional neural network and long short-term memory for short-term load forecasting

A hybrid model based on convolutional neural network and lon...

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IEEE power and Energy Society General Meeting

作者： Jixiang LU Zhihong YANG Qipei ZHANG Mengfu TU Technology Research Center NARI Group Corporation Nanjing China State Key Laboratory of Intelligent Power Grid Protection and Operation Control Nanjing China

To better mine the effective information contained in massive data and improve the accuracy of short-term load forecasting, this paper proposes a hybrid model based on convolutional neural network and long short-term memory network (CNN-LSTM) for short-term load forecasting (STLF), which takes massive historical load data, meteorological data, date information, and peak-valley electric price data as input by constructing continuous feature maps with time sliding window. Convolutional neural network (CNN) is used to extract features and reshape them into vectors. The feature vectors are constructed in temporal and fed into long short-term memory network (LSTM) which is used to predict STLF. To the best of our knowledge, this is the first work to predict STLF using deep learning in both spatial and temporal domains. It is shown that the forecasting accuracy can be notably improved by CNN-LSTM hybrid model method. The effectiveness of the proposed method is validated through extensive comparison studies on a real-world dataset.

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Research on the Waveform Characteristics of Restrike Caused by Capacitor Exit

Research on the Waveform Characteristics of Restrike Caused ...

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

作者： Tao Chen Peng Ding Zheng Geng Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Tianjin Binhai Electric Power Supply Company Tianjin China Maintainance Branch State Grid Hebei Electric Power Company Shijiazhuang China

ISBN: (数字)9781728152813

ISBN: (纸本)9781728152820

The serious overvoltage phenomenon of restrike caused by capacitor exit will damage the insulation of the circuit breaker and the capacitor, and then affect the safe operation of the power grid. However, the establishment of the characteristics of restrike is still relatively preliminary, and it is difficult to effectively characterize the occurrence of restrike. In this paper, the waveform characteristics of transient voltage and current collected from the system and capacitor neutral point under different operation modes are analyzed, and the transient waveform characteristics of single-phase and inter-phase restrike caused by capacitor exit are established, which provides theoretical basis for the detection and identification of restrike phenomenon. Both theoretical analysis and simulation verify the accuracy of the typical features established in this paper.

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Frequency Model of Generator Considering Thermal Constraint and AGC Regulation

Frequency Model of Generator Considering Thermal Constraint ...

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IEEE General Meeting power& Energy Society

作者： Qian Chen Na Qiu Xin Shan Yuqing Jin Lixia Sun Yiping Yu Chuan Qin College of Energy and Electrical Energy Hohai University Nanjing China NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781728155081

ISBN: (纸本)9781728155098

In this paper, a novel equivalent model considering the thermal constraint and AGC regulation is proposed for analyzing the frequency of thermal units. The UHVDC converter station blocking is very sensitive to frequency fluctuations in a bulk power system, so an accurate and easy-to-use model is much desired for the operation decision and control design. Firstly, actual output characteristics of the thermal unit are presented. Secondly, the structure of an equivalent frequency model is put forward to describe these characteristics. Thirdly, the scheme of estimating model parameters is offered to ensure to make the responses fit with the measured data. Fourthly, CEPRI-36 system is adopted to verify the proposed model. Finally, simulation precise is manifested by an actual case in East China power grid. The proposed model shows significant advantages on high accuracy and clear mechanism. In addition, the main feature of governor and generator is reserved, which is sufficient for analyzing the impacts of system disturbances on the frequency. Considering the increasing installation of UHVDC in power systems, this novel model is extremely beneficial to situational awareness and control decision in operation rooms.

关键词： Automatic generation control Generators Regulation power grids Data models Thermal analysis Safety

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Study on 24h Dynamic Reactive power Optimization Considering Safety operation Limit of Generators

Study on 24h Dynamic Reactive Power Optimization Considering...

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2019 IEEE PES Innovative Smart grid Technologies Asia, ISGT 2019

作者： Lu, Bin Xu, Xi Yu, Zhipeng Wang, Wen Gu, Xuenan NARI Group Corporation State Grid Electric Power Research Institute China NARI Technology Co. Ltd. China State Key Laboratory of Smart Grid Protection and Control China Southeast University Nanjing China

ISBN: (纸本)9781728135205

In order to solve the practical problem of 24-hours dynamic reactive power optimization in power system dispatching, according to the limit output range of generator's operation, this paper divides generator's operation into three regions in PQ mathematical model and takes the action times of discrete control equipment as global inequality constraints, finally establishes a complete 24-hours non-linear mixed integer dynamic reactive power optimization mathematical model. The simulation results show that the mathematical model in this paper can adjust the output of the generators according to the actual situation effectively when the generators are in phase-leading operation. In addition, dynamic reactive power optimization reduces the number of control equipment's action at the cost of increasing active power loss in the whole network. So, In order to ensure the safe and economic operation of power grid, it is necessary to coordinate the relationship between active power loss and the constraints of control equipment's action. This paper has positive reference significance for power system dispatching. © 2019 IEEE.

关键词： Electric power transmission networks

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Assessment of Wind power Ramp Events Based on Stacked Denoising Autoencoder 8

Assessment of Wind Power Ramp Events Based on Stacked Denois...

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8th IEEE International Conference on Advanced power System Automation and protection, APAP 2019

作者： Liang, Zhixiang Liu, Yutian Liu, Xiaoming Cao, Xiangyang Zhang, Liudong Wu, Haiwei Zhang, Qibing Yang, Ming Shandong University Ministry of Education Key Laboratory of Power System Intelligent Dispatch and Control Jinan250061 China Economic Technology Research Institute State Grid Shandong Electric Power Company Jinan250001 China State Grid Jiangsu Electric Power Company Nanjing210032 China

ISBN: (纸本)9781728117225

Wind power ramp events had a significant impact on the power balance of power system and may lead to load shedding. A data driven method was proposed for wind power ramp events assessment in this paper. The K-means clustering algorithm was used to divide the samples to several classes. The stacked denoising autoencoder was used to extract layer features to train support vector machine. Historical and forecast data of wind power, load power, conventional unit and pumped storage station power were taken as inputs. The output was whether ramp event occurred. A severity function was constructed to assess the severity grade which was predicted to be a wind power ramp event based on effect theory. The credibility of the assessment result was represented by confidence interval. Simulation results of a provincial power grid showed that the prediction method in this paper was more accurate and credibility was high enough to help the dispatchers to take measures for the security of power grid. © 2019 IEEE.

关键词： Grading

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Transient Voltage Stability Assessment Method based on gcForest

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Journal of Physics: Conference Series 2021年第1期1914卷

作者： Sun Zhiyuan LI Mingpo Zhang Jie Hu Binjiang Qi Guo Zhu Yihua Guangxi Power Grid Electrical Power Research Institute Supported by the Science and Technology Project of Guangxi Power Grid (Contract No(***DL00006)). State Key Laboratory of HVDC Electric Power Research Institute CSG China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory of Power System Simulation

Aiming at the fact that the traditional method cannot quickly and accurately judge the power system transient voltage stability, and the deep neural network method needs many sample data sets and has a large number of hyperparameters, a power system transient voltage stability assessment method based on deep forest (gcForest) is proposed. gcForest effectively extracts features through ensemble learning, multi-layer feature transformation, and dynamically adjusting the number of model layers. Finally, this method is applied to transient voltage stability assessment of an electrolytic aluminium load-intensive area in Guangxi power grid. The results show that the method has high accuracy, the feasibility and effectiveness of this method are verified. This method can assist dispatchers to judge the transient voltage stability of the power grid.

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Analysis and Inspiration of the National Load all powered by Renewable Energy in Portugal

Analysis and Inspiration of the National Load all Powered by...

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2019 IEEE PES Innovative Smart grid Technologies Asia, ISGT 2019

作者： Yang, Wei Pestana, Rui Esteves, Joao Reis, Francisco Yan, Li Yongning, Chi Xinshou, Tang Haiyan, Tang Centro de Investigação em Energia REN - State Grid S. A Lisbon Portugal China State Key Laboratory of Operation and Control Renewable Energy Storage Systems China Electric Power Research Institute Beijing China

ISBN: (纸本)9781728135205

Since the beginning of the 21st century, under the guidance of relevant environmental protection targets of the EU and relevant Portuguese supporting laws and regulations, the renewable energy has developed rapidly in Portugal, and the Portuguese power generation system has developed steadily towards the carbon-free hybrid power generation system. In recent years, the Portuguese power grid has experienced three times of 100% renewable energy to support the continuous operation of the national power load for several days. It appeared twice in 2016, which was the continuous network load of renewable energy supply for 96 consecutive hours in February 2016. In May 2016, it was 107 hours of continuous renewable energy supply nationwide. The most recent one occurred on March 9, 2018, with 63 hours of continuous energy supply to the Portuguese national load. The successful accommodation of large-scale renewable energy in power systems is a systematic project. It relies on energy planning, national transmission network planning, operation and control technologies, and market mechanisms to support all renewable energy across the country. © 2019 IEEE.

关键词： Renewable energy resources

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A Security Evaluation of Distribution Networks CPS Considering Information- Physical Combinations Anticipated Failure Screening

A Security Evaluation of Distribution Networks CPS Consideri...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Ming Ni Manli Li Xia Zhou Zhou Yang NARI Group Corporation (State Grid Electric Power Research Institute) NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China Institute of Advanced Technology Nanjing University of Posts and Telecommunication Nanjing China

ISBN: (数字)9781728167824

ISBN: (纸本)9781728167831

With the rapid development of ICT technology and automation control technology, the distribution network has gradually transformed into a distribution network information physical system (distribution network CPS) with highly coupled information systems and physical systems. The information system supports the stable operation of the physical system, and it also brings certain security risks to the distribution network CPS. Therefore, information impact should be considered in the original single physical anticipated fault assessment. This paper proposes a security analysis and evaluation method for distribution network CPS considering information-physical combination anticipated fault screening. Firstly, based on the CPS structure of the distribution network, a CPS correlation matrix model of the distribution network that can reflect the power-information coupling characteristics is established. Then analyze the correlation between information failure and physical failure, and construct an initial information-physical combination anticipated fault set according to topology correlation and service correlation. Then, based on the fault recovery rate ordering, the key information- physical combination anticipated fault is selected. Finally, for the selected combination of anticipated failures, the security assessment of the distribution network CPS security assessment indicators is carried out, and verified in the example.

关键词： distribution network CPS association matrix anticipated failure information-physical combination power grids Computer based information systems physical fault set faults stability operations

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