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检索条件"机构=The Key Laboratory of Power System Intelligent Dispatch and Control"

共 1150 条记录，以下是91-100 订阅

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Impact assessment for large-scale off-grid of renewable energy on weakly interconnected systems 6

Impact assessment for large-scale off-grid of renewable ener...

引用

6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Li, Li Qin, Changlong Dong, Xin Qiao, Rongfei Yang, Jialun State Grid Jinan Power Supply Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350346671

Under the background of increasingly serious off-grid problems of renewable energy, this paper analyzes the impact of large-scale off-grid of renewable energy and voltage stability in the weakly interconnected system. First, an improved index is proposed based on Simpson formula for assessing transient voltage stability and achieving early warning of instability risk. Then, based on the simulation of a real-life UHV (Ultra-high voltage) weakly interconnected system, two typical cascading failure scenarios are reasonably anticipated. These cascading failures contain a series of renewable energy off-grid and blocking of DC transmission caused by different initial failures, whose voltage stability is evaluated by the proposed index. Besides, the nature of cascading failure evolution is analyzed. Finally, accuracy and efficient of the proposed index are verified. © 2023 IEEE.

关键词： Transients

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Preventive control Method of Improving Transient Voltage Stability for power system Based on the Attention of CNN

Preventive Control Method of Improving Transient Voltage Sta...

引用

2023 IEEE Sustainable power and Energy Conference, iSPEC 2023

作者： Li, Zhendong Yan, Jiongcheng Liu, Yutian Li, Li Qu, Hanbing The Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Jinan Power Supply Company Jinan China

ISBN: (纸本)9798350322699

The widespread integration of renewable generation and the changes in load structure bring significant challenges to the transient voltage stability of large-scale power systems. In order to achieve fast decision of preventive control for improving transient voltage stability, this paper proposes a preventive control method based on the attention of Convolutional Neural Network (CNN). An optimization decision model is established, which not only considers multiple traditional constraints but also introduces the model attention indicator based on Gradient-weighted Class Activation Mapping (Grad-CAM), enabling a more targeted improvement of transient voltage stability. The proposed indicator is capable of extracting the knowledge learned by CNN-based transient voltage assessment model, and utilizing it to guide the optimization decision-making of preventive control. Simulation results of provincial grid of eastern China demonstrate that the optimized control scheme can effectively enhance the transient voltage stability of power systems. © 2023 IEEE.

关键词： model attention indicator power system preventive control transient voltage stability

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A Missing Data Imputation Method for Electricity Consumption Data Based on TCN-Attention with Mask Tokens 4

A Missing Data Imputation Method for Electricity Consumption...

引用

4th International Conference on Consumer Electronics and Computer Engineering, ICCECE 2024

作者： Mao, Yifeng Yang, Ming Li, Peng Ou, Zhujian Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Nantong Power Supply Company State Grid Jiangsu Electric Power CO. LTD. Nantong China

ISBN: (纸本)9798350384062

With the popularization of smart meters, power companies can collect massive amounts of data from users for non-invasive load detection, electricity theft detection, etc. However, due to faults in smart meters and abnormal communication, the dataset often has missing values, making it difficult for data-driven methods to be widely applied. In this paper, we propose an unsupervised learning method based on TCN-Attention to fill in customers' electricity consumption data. Firstly, we extract electricity consumption features through TCN. In order to improve the feature extraction capability, we introduce a channel attention mechanism to TCN. The attention mechanism makes TCN focus on the effective features in the data by assigning weights. Meanwhile, we use mask tokens to cover a certain proportion of data, forcing the proposed model to learn potential feature representations of the data during the training process. Finally, the features are restored to data through feedforward neural networks. An example is given to verify the effectiveness of the proposed method. © 2024 IEEE.

关键词： Smart meters

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Ill-conditioned Problem of Fault Location Equations for Three-Terminal Lines in Distribution Network by μMPMU

Ill-conditioned Problem of Fault Location Equations for Thre...

引用

2022 power system and Green Energy Conference, PSGEC 2022

作者： Zhang, Junpeng Meng, Xinyuan Wang, Rundong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

Three terminal line is a typical structure in distribution network, and its fault location has been the focus because of the large scale distributed generation integration. Recently, a parameter-free fault location method based on line voltage was proposed, which overcomes the problem that line parameters are unknown and only two line voltages can be measured in distribution network of China. Although it is more practical than previous methods, the RTDS test shows that the location equations of this method have ill-conditioned problems, that is, tiny measurement error causes too large deviation in the result. To study this problem, the ill-conditioned problem of the location equations is analyzed by condition number at first. Then the condition number of the location equations is calculated by simulation, and it is verified that the location results will produce a large error in the condition of small error of PSCAD simulation data and μMPMU measurement data from RTDS device. © 2022 IEEE.

关键词： Errors

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Hierarchical Modeling of Cyber-physical power system for State Evolution Analysis 7

Hierarchical Modeling of Cyber-physical Power System for Sta...

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7th Asia Conference on power and Electrical Engineering, ACPEE 2022

作者： Zhang, Xiang Wang, Hongtao Shan, Yuechen Zhai, Shibo Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9781665418195

In the highly automatic smart grid, the security control and service quality of power system are significantly depended on information network. From the perspective of information interaction, cyber-physical power system (CPPS) is divided into power physical layer, communication layer and control layer in this paper. First, three layers of CPPS and the coupling relationship between them are modeled in the form of matrices. Then, the state evaluation process of CPPS under attacks is deduced, and an integrated model is established. Finally, the propagation mechanism of information attack is briefly analyzed, and the IEEE 39-bus system is used to testify the proposed model. © 2022 IEEE.

关键词： Smart power grids

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An Integrated Energy system Operation Model Considering New Electricity Marketing Strategy 5

An Integrated Energy System Operation Model Considering New ...

引用

5th International Conference on Energy, Electrical and power Engineering, CEEPE 2022

作者： Liu, Shuai Wang, Mingqiang Lian, Xiaoyang Hu, Yuxi Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781665479059

In recent years, the economic operation of Integrated Energy system (IES) has been widely concerned. How to determine the energy price has become an urgent problem to be solved of IES. In order to overcome this problem, a modified IES operation model considering new electricity marketing strategy is proposed. In this model, the combined stochastic/robust optimization (S/RO) is established to minimize the sum of electricity exchange cost, fuel purchasing cost, operating cost, flexibility adjustment cost and renewable curtailment cost. Based on the bounded uncertainty-based robust optimization (BURO), the modified IES operation model is transformed into a mixed integer linear programming (MILP) model, which is solved by CPLEX solver. The feasibility and effectiveness of the proposed model are illustrated on the IEEE 33-node distribution system with 11-node heat-cold system. © 2022 IEEE.

关键词： Heating systems Renewable energy sources power engineering Costs systems operation Stability analysis Probability distribution

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Integrated Scheduling for power system with High Proportion of Renewable Energy Considering Multiple Time Resolution and Energy Storage system 5

Integrated Scheduling for Power System with High Proportion ...

引用

5th International Conference on Energy, Electrical and power Engineering, CEEPE 2022

作者： Guo, Junshao Wang, Mingqiang Liu, Jianan Li, Jianying Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781665479059

In the context of the clean and low-carbon energy revolution, high proportional renewable energy source (RES) will be one of the basic characteristics of the future power system. The traditional sequential scheduling module exposes serious problems. In order to solve these problems above, this paper establishes an integrated scheduling model, which determines unit reserve, base points (BPs) and participation factors (PFs) at the same time. It realizes the integrated decision-making of unit commitment (UC), economic dispatch (ED), and PFs of automatic generation control (AGC). To accurately capture the newly updated short-term wind power forecast, the finer time resolution is applied in the first few time intervals, such as 5, 15 and 30 min. Simultaneously, for the short-term wind power spike, energy storage system (ESS) as its countermeasure is used to deal with it. The entire model is regarded as a mixed integer linear programming (MILP) model, which is solved by CPLEX solver. The practicality and validity of the proposed model are verified by the IEEE-RTS system. In general, the integrated model proposed in this paper can accommodate more RES integration, relieve wind curtailment, reduce the total cost and improve the security of the power system, which has a wider application prospect in the power system scheduling field. © 2022 IEEE.

关键词： Renewable energy sources Costs Energy resolution Automatic generation control Wind power generation power systems Security

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Wind and PV power Ramp Events Prediction Based on Long Short-Term Memory Network

Wind and PV Power Ramp Events Prediction Based on Long Short...

引用

2023 IEEE Sustainable power and Energy Conference, iSPEC 2023

作者： Wang, Zengwei Li, Zhendong Liu, Yutian Ma, Huan The Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China The State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9798350322699

With the increasing penetration rate of renewable generation, the challenges arising from its randomness and intermittent nature are becoming more pronounced. In particular, wind and photovoltaic power ramp events pose a serious threat to the secure and stable operation of power systems, and even lead to frequency instability and load shedding. Based on the long short-term memory neural networks (LSTM), this paper proposes a novel renewable power ramp events (RPREs) forecasting approach. First, filter the key tie-lines. Second, the LSTM network was driven by the known time series of wind, PV, load, and tie-line power to forecast the tie-line power for the next hour, thereby determining the adjustable capacity of the tie-line. Finally, the regulatory capability of the grid is considered to judge the occurrence of a power ramping event. Case study demonstrates that the proposed method can effectively predict power ramping events and meets the requirements of online assessment. © 2023 IEEE.

关键词： LSTM photovoltaic power ramping events forecasting wind power

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Fault Ranging Method Based on Multisynchrosqueezing Transform for Flexible DC Transmission Lines 7

Fault Ranging Method Based on Multisynchrosqueezing Transfor...

引用

7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering

作者： Yu, Chengao Gao, Zhanjun Yang, Tao Liu, Zhao Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781510656437

Due to the dispersion effect of the traveling wave, the wave speed has frequency variation characteristics, and the error of the fault ranging method using empirical wave speed is large. To address this problem, this paper proposes a fault ranging method based on Multisynchrosqueezing Transform (MSST) for flexible DC transmission lines, the MSST method is used to perform time-frequency analysis of the fault line mode voltage traveling wave, to obtain the precise time and frequency information of the traveling wave arriving at the measurement points on both sides of the line, and to calculate the distance of the fault point according to the double-end ranging principle by combining the frequency variation characteristic curve of the wave speed. Since MSST squeezes the signal several times, it effectively improves the time-frequency aggregation of the signal, and the time-frequency feature extraction of the traveling wave and the identification of the wave head are more accurate. Finally, the effectiveness of the fault ranging algorithm was verified by the simulation of PSCAD and MATLAB. © 2022 SPIE. All rights reserved.

关键词： MATLAB

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Robust Black Start Strategy with a High Share of Renewable Energy Generation 6

Robust Black Start Strategy with a High Share of Renewable E...

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

作者： Fan, Xuemei Wang, Hongtao Li, Yong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350347159

Renewable energy generation is expected to participate in black start in case of blackout events, as they can significantly speed up power system restoration. This paper proposes a startup strategy aiming to improve the black start robustness against uncertainties introduced by wind or photovoltaic power plants. The strategy is composed of a short-term emulation model and a long-term ordered participation model. The short-term model concerns the transient state frequency and voltage stability under black start disturbances. It emulates the regulating capability of the power plants so as to determine if they can withstand the black start events. The long-term model deals with the steady state power and energy balance during black start units ramping. It takes into consideration the uncertainty of wind and photovoltaic power and calculates the confidence power output interval, and thereby prevents generation shortage caused by renewable power fluctuations. Based on the proposed strategy, an ordered participation algorithm is presented for online decision making of black start schemes, which are validated using a practical regional power system based study case. The results show that the proposed method can improve system robustness and stability for black start with wind and photovoltaic power. © 2022 IEEE.

关键词： Wind power

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