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检索条件"机构=State Key Laboratory of Smart Power Grid Protection and Control"

共 531 条记录，以下是81-90 订阅

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Very-Short-Term Wind power Forecasting for New-Built Wind Farms Based on Online Sparse Vector Autoregressive Model 1

引用

17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Xu, Yang Dong, Qi Li, Li Zhang, Qinglei Zhang, Yao Shaanxi Province Key Laboratory of Smart Grid Xi’an Jiaotong University Xi’an710049 China Power Dispatch and Control Center State Grid Shaanxi Electric Power Company Limited Xi’an710048 China

ISBN: (数字)9789819904082

ISBN: (纸本)9789819904075

Very-short-term wind power prediction is of great significance for the safe and stable operation of power system. As a well-known time series model, vector autoregressive (VAR) model is very suitable for very-short-term forecasting, and it can consider the temporal and spatial correlation among multiple wind farms to improve the forecasting accuracy. However, when there are a large number of wind farms, VAR model is prone to over-fitting. Slow calculation speed is also the problem of VAR model. This paper adds regularization terms in estimating coefficients to obtain a sparse coefficient matrix, which helps to avoid over-fitting. Online VAR model is used to improve the calculation speed, and a specific improved online VAR method is proposed for forecasting wind power output from new-built wind farms. This method is tested in a specific case, and the prediction accuracy and calculation speed are better than the traditional VAR model. In addition, the improved online VAR method can accurately predict wind power output of new-built wind farms with little historical data. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Wind farm

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Failure mode risk analysis of DC charger based on cloud model and TOPSIS 14

Failure mode risk analysis of DC charger based on cloud mode...

引用

14th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Hangzhou 2023

作者： Yuan, Li Wen, Tan Su, Yan Yi, Zichao Wang, Yu State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China Nanjing University of Aeronautics and Astronautics College of Civil Aviation Nanjing China

ISBN: (纸本)9798350301359

This paper overcomes the shortcomings of the traditional Risk assessment method of Risk Priority Number (RPN). The evaluation process is established by combining the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with the cloud model theory. And applied to solve the DC charger failure mode risk assessment, analysis and determination of DC charger key failure mode and failure mechanism. Firstly, the expert assessment information of DC charger fault mode was converted into a cloud model, and then the risk assessment index and expert weight of risk assessment were calculated. Finally, the TOPSIS method was used to determine the risk priority of the fault mode, and the failure mechanism of the high-priority fault mode was analyzed to determine the failure physical model. © 2023 IEEE.

关键词： cloud model Dc charger failure mechanism risk assessment TOPSIS method

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Transient Performance Optimization of grid Forming Converter 6

Transient Performance Optimization of Grid Forming Converter

引用

6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Wang, Sichao Li, Chunpeng Yang, Yuexi Han, Congda Zhang, Hanbin Huang, Junwei State Grid Smart Grid Research Institute Co. Ltd. State Key Laboratory of Advanced Power Transmission Technology Beijing China State Grid Fujian Electric Power Research Institute Fujian Key Laboratory of Protection and Operation Contorl for Smart Grid Fuzhou China

ISBN: (纸本)9798350347159

With the increased penetration of renewable energy sources (RES), the power system is emerging a lower inertial characteristic. This can lead to a higher rate-of-change of frequency (RoCoF) and the voltage instability issue during grid disturbance conditions, thus threatening the security of the power grid. Accordingly, researchers have recently proposed a novel grid-forming (GFM) control strategy. Compared to the traditional grid-following (GFL) control method, the GFM control can emulate the dynamic behaviors of the synchronous generator (SG), inherently providing inertial support to stabilize the grid frequency and transient AC voltage. However, it may lead to abnormal transient stress, such as over/under DC voltage and AC overcurrent, raising the risk of unexpected tripping. The paper will present the operating principles of multiple types of GFM and GFL control strategies, and evaluate their dynamic performance during the grid voltage variation events. To address the issue of transient stress, the paper will propose a novel control strategy for suppressing the over/under DC voltage and AC overcurrent so that prevented disconnection of the GFM converters. The proposed method is validated with an example of PV generation scenario, and the effectiveness in improving the dynamic performance has been demonstrated by studying the frequency variation cases. © 2022 IEEE.

关键词： Transients

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Frequency Regulation Market Performance Considering the Complementarity of Wind Park Cluster 6

Frequency Regulation Market Performance Considering the Comp...

引用

6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Huang, Zirui Zhang, Jiangfeng Teng, Xianliang Zhang, Kaifeng Southeast University School of Automation Nanjing China State Grid Zhejiang Electric Power Research Institute Zhejiang China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350347159

Modern power systems with high penetration of renewable energy enrich the frequency regulation resources by offering more new clean wind and solar energy. In this paper, we present a bottom-top design of wind park's participation in the frequency regulation market considering the complementarity of wind park power outputs. By defining a quantitative complementarity index, we show how the complementarity contributes to the regulation reserve reliability of wind parks and the consistent market performance, and verify the conclusions via numerical analysis. © 2022 IEEE.

关键词： Wind power

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A new approach for calculating the average frequency of power system based on the identification of regional inertia center nodes 2

A new approach for calculating the average frequency of powe...

引用

2nd International Conference on Electrical Engineering and Computer Technology, ICEECT 2022

作者： Wan, Zhonghui Liu, Fusuo Wu, Xuelian State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing210003 China NARI Group Corporation/State Grid Electric Power Research Institute Jiangsu Nanjing210003 China

The grid structure of the modern power system is complex and the space span is large. When the power system is disturbed to generate unbalanced power, the transient distribution process among the various synchronous units leads to the spatiotemporal distribution characteristics of the frequency response of the system. By measuring the generator Frequency and Inertia, the inertia center frequency can be calculated. Based on the two-generator system, the relationship between generator frequency and bus frequency is analyzed. A method for selecting the frequency inertia center node of the local power grid in the power system is proposed, and the inertia center frequency of the system is estimated based on the measured frequency at this point. Taking 10 machines and 39 nodes as an example, the simulation calculation is carried out to verify the effectiveness of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Frequency response

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Parallel Decomposition and Coordination Algorithm for Security Constrained Optimal power Flow 1

引用

6th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2021

作者： Xiaoqin, Xia Wei, Xu Zhen, Yuan Xiaotong, Xu NARI Group Corporation/State Grid Electric Power Research Institute Jiangsu Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (数字)9789811671562

ISBN: (纸本)9789811671555

In order to improve the online performance of power system control decision-making, this paper proposes a method to resolve the economic optimization problem considering security constraints into a base-case optimal power flow master problem with the objective of minimizing the generation cost and a series of security check sub problems relevant to various faults. A parallel decomposition and coordination algorithm based on adjustable space slices is proposed to avoid alternating iterations. First of all, the adjustable space is sliced to form multiple slicing schemes according to different proportions. Based on the parallel computing platform and the slicing schemes, the primal dual interior point method is used to solve the base-case optimal power flow master problem. Secondly, security check of faults is carried out by parallel computing for different optimized cases. Then, the solution with the minimum cost is chosen from the safe solutions. Finally, the effectiveness of the proposed method is verified by a case of a city power gird in Guizhou province. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Decision making

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National Carbon Market Supply Demand Balance Analysis Based on Unit Level Heterogeneous Characteristic Modeling 11

National Carbon Market Supply Demand Balance Analysis Based ...

引用

11th International Conference on Innovative smart grid Technologies - Asia, ISGT-Asia 2022

作者： Lai, Yening Zhang, Yifei Huang, Jie Chen, Xuetong NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350399660

The national carbon market is the major market mechanism supporting China's '30•60' target. This market involves natural sciences, such as energy technology and climate science, and social sciences, such as politics and economics related to energy economy, policy, and human behavior. This makes the carbon market a typical cyber-physical-social system in energy (CPSSE). This paper focuses on modeling objective physical parameters associated with market participants. The paper proposes a model and value assignment method for unit-level heterogeneous parameters and constructs a unit-level dataset of national carbon market participants. The influences of the heterogeneous levels of different parameters on the micro supply-demand balance are then evaluated. The study details the quantitative influences of the proportion of units without key parameter measurements and the shape of the distribution of the units' coal consumption rates. This study establishes a unit-level model and parameter foundation for conducting a national carbon market hybrid simulation. © 2022 IEEE.

关键词： Carbon

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Frequency Regulation Potential Evaluation of Temperature-controlled Load Aggregators Considering Demand Response Willingness 6

Frequency Regulation Potential Evaluation of Temperature-Con...

引用

6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Yu, Jie Yang, Jiaqi Ding, Qia Tu, Mengfu Ji, Weixi Southeast University Electrical Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9798350347159

The frequency regulation potential of temperature-controlled load aggregators means that, the total load reduction that all the aggregated temperature-controlled load users can participate in the frequency regulation. User demand response willingness refers to the willingness of users to adjust electricity consumption according to the price of electricity sales to provide demand response based on their own demand response elasticity. This paper establishes a user demand response willingness model including two parts of electricity cost change and temperature change, which is used to characterize the relationship between user frequency regulation potential and electricity price;then proposes a time series chained two-dimensional cloud generator algorithm for the willingness model to predict the temperature-controlled load operating state in the temperature-controlled load, and finally establish a two-layer model to optimize the frequency regulation potential of the temperature-controlled load aggregator, with the frequency regulation potential as the solution variable. The effectiveness of the algorithm and the model are verified through calculation examples, and sensitivity analysis is carried out. © 2022 IEEE.

关键词： Sensitivity analysis

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key Feature Selection Method for Intelligent Assessment of Transient power Angle Stability based on Physical Mechanism and Improved Relief

Key Feature Selection Method for Intelligent Assessment of T...

引用

2022 power System and Green Energy Conference, PSGEC 2022

作者： Zhang, Yin Xu, Taishan Ren, Xiancheng Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

key feature selection is of great significance for intelligent assessment of transient power angle stability of power system. This paper proposes a key feature selection method combining physical mechanism and improved Relief. The Relief index reflects the strength of the feature to classify transient power angle stability and instability. By eliminating redundancy and increasing the weight of unstable samples, the accuracy of index calculation and the ability to adapt to sample imbalance are improved. Through the combination of physical mechanism and improved Relief, the key feature quantities reflecting the stability of transient angle can be comprehensively selected by iterative optimization, and the problem of missing selection of key feature parameters under complex transient stability can be solved. The effectiveness of the method is verified by an actual power grid example. © 2022 IEEE.

关键词： Transients

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Research on intelligent evaluation model of transient stability based on K-means grouping 5

Research on intelligent evaluation model of transient stabil...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Ren, Xiancheng Zhang, Yin Wu, Feng Yuan, Huling Zhang, Jinlong Chang, Haijun Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

In a large number of actual power system operation scenarios, the transient instability scenarios are far smaller than the stable operation scenarios. In the case of imbalanced samples, the rapid transient stability assessment based on machine learning will lead to the learning algorithm preferring to the majority of classes with more samples, thus causing the problem of missing judgment for the transient instability scenarios. This paper proposes an under-sampling method for grouping majority class samples based on K-means. Under the constraint that the proportion of stable samples and unstable samples meets certain conditions, the majority of class stable samples are grouped with the center sample and the sample nearest to the center sample as initial values, and the K-means algorithm is adopted. By regrouping the samples of the majority class successively, multiple training sample subsets composed of unstable samples and multiple groups of stable samples are finally formed. Model training is performed for each training sample set, and the evaluation model of the new mode is judged by the comprehensive distance from the unstable center sample and the stable center sample of each sample subset, and then the transient stability judgment is carried out, so as to improve the accuracy of rapid evaluation under the unbalanced condition of training samples. The effectiveness of the proposed method is verified by an actual power grid example. © 2022 IEEE.

关键词： Learning algorithms

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