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

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A condition-based maintenance approach to an optimal maintenance strategy considering equipment imperfect maintenance model 5

A condition-based maintenance approach to an optimal mainten...

引用

5th IEEE International Conference on Electric Utility Deregulation, Restructuring and power Technologies, DRPT 2015

作者： Li, Yeyong Han, Xueshan Xu, Bo Wang, Yunpeng Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781467371063

power grid tries to maximize its profit by reducing generation cost, supply costs and operation costs while sustaining its required reliability. Developing maintenance strategies is one of the most effective methods. The condition-based maintenance approach is a key method in providing optimal maintenance strategies in theory. It considers the tradeoffs between the system maintenance risk and the potential system failure risk of system reliability losses. Since power grid contains a group of different kinds of equipments and the reliability of the electric equipments varies with time. One type of electrical equipment has different maintenance models because of their different failure modes and deterioration processes. A union method for equipment maintenance model and system condition-based maintenance model is proposed. The modified imperfect maintenance model-Kijima II model is selected for equipment maintenance model comparing with minimal repair and perfect maintenance through optimizing imperfect maintenance effect factor. In addition, a genetic algorithm is used to find the optimal maintenance strategies from possible maintenance scenarios. These optimal maintenance strategies have been tested on a HVDC link which is simplified into an equivalent serial and parallel system and an IEEE-RTS79 system. The results demonstrate the feasibility and validity of the proposed model. © 2015 IEEE.

关键词： Genetic algorithms

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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...

引用

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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A Bayesian Structural Time Series Approach for Forecasting Photovoltaic power Generation

A Bayesian Structural Time Series Approach for Forecasting P...

引用

2023 International Conference on power system Technology, powerCon 2023

作者： Sun, Chenghao Chu, Xiaodong Ye, Hua Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350300222

As a renewable energy source, photovoltaic (PV) power generation is becoming increasingly essential in power systems. Accurate forecasting of PV power output is crucial for effective regulation and control of these systems. This paper explores the applicability of the Bayesian structural time series model for PV power generation forecasting using causal inference techniques. The research examines various factors that influence PV power generation and assesses their causal relationships. The developed forecasting model for PV power generation integrates the Bayesian structural time series approach. The accuracy of the proposed model is validated through case studies, demonstrating the successful incorporation of causal inference in PV power generation prediction. This study lays the foundation for future research on utilizing causal inference to evaluate the impacts of specific system changes. © 2023 IEEE.

关键词： Time series

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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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Anomaly Detection of Wind Turbine Gearbox Based on Digital Twin Drive

Anomaly Detection of Wind Turbine Gearbox Based on Digital T...

引用

3rd IEEE Student Conference on Electrical Machines and systems (SCEMS)

作者： Zeng Xiangjun Yang Ming Yang Xianglong Bo Yifan Feng Chen Zhou Yu Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (数字)9781728156224

ISBN: (纸本)9781728156224

Anomaly detection for wind turbines (WTs) can improve their operational reliability and reduce their operation and maintenance costs. In this paper, a new WT anomaly detection method based on digital twin drive is proposed, which combines the advantages of data-driven methods and model simulation technology. It can use actual WT SCADA data to guide the construction of simulation models. Meanwhile, the simulation analysis results can also be used to verify whether the actual data analysis results are credible. Compared with a single data analysis method or a single model simulation analysis method, the proposed method can improve the reliability of anomaly detection results through the interaction of actual WT data analysis and the virtual simulation model analysis. The proposed method is verified by a WT with gearbox failure, and the data analysis result is consistent with the simulation result, proving the effectiveness of the method.

关键词： anomaly detection data digital data analysis simulation

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Design and Application of Wideband Monitoring Master Station in power systems 6

Design and Application of Wideband Monitoring Master Station...

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6th International Conference on Energy, Electrical and power Engineering, CEEPE 2023

作者： Zeng, Yiming Shi, Fang Zhang, Hengxu Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China

ISBN: (纸本)9798350348279

The use of power electronics to integrate increasing renewable energy resources into power grids has changed the wideband characteristic of the power system signals. The traditional wide-area measurement system (WAMS) based on synchronized phasor measurement unit (PMU) can only measure the fundamental frequency component, making it unable to meet the measurement requirements of harmonics and interharmonic components. To address this problem, the wideband synchronized measurement unit (WPMU) has been developed, which supports real-time measurement of harmonic and interharmonic components, in addition to the functionalities of PMU. As a result, upgrading the WAMS master station is necessary to make the integration of wideband measurement available. This paper analyzes the characteristics of wideband measurement data, explores its practical applications and discusses the idea of upgrading the WAMS master station for wideband measurement, including designing its data transmission architecture, selecting a suitable database, and outlining advanced application methods. Finally, the paper presents the analysis of one actual engineering application, where the wideband measurement devices are installed, and the data is sent to the master station in real time. This work provides a reference for the design and development of a wideband WAMS master station, and contributes to the safety and stability of the power grid operation by providing wideband measurement information. © 2023 IEEE.

关键词： Renewable energy resources

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Fault Location Algorithm for Series-Compensated Transmission Lines Using Prony Algorithm

Fault Location Algorithm for Series-Compensated Transmission...

引用

2023 International Conference on power system Technology, powerCon 2023

作者： Fan, Shuxian Yun, Zhihao Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350300222

In order to shorten the electrical distance and improve the transient stability of the system, series compensation devices are often added to long-distance high-voltage transmission lines. When a fault occurs on the line, the protection action is fast, and the fault waveform data window is short. The series compensation capacitor causes the fault waveform to contain attenuated low-frequency oscillation components, which seriously affects the accuracy of extracting the fundamental components of voltage and current after the fault. Since compensation capacitor parameters is often inaccurate, these two factors greatly reduce the accuracy of fault location based on impedance methods. Therefore, this paper proposes a method for extracting voltage and cur-rent fundamental components based on Prony algorithm to suppress the influence of attenuated low-frequency oscillation components. Then, by using the positive and negative sequence voltage-current relationship before and after the fault to construct the location equation, the series compensation parameters and fault distance are sequentially solved, and the fault section is verified to improve the accuracy of fault location. Simulation results show that the proposed method has good practicality and accuracy, and is not affected by fault type, fault section, and fault distance. © 2023 IEEE.

关键词： Electric lines

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Remote detecting low voltage ride through ability of DFIG 35

Remote detecting low voltage ride through ability of DFIG

引用

35th IEEE Region 10 Conference, TENCON 2015

作者： Xie, Caike Zhao, Weiguo Liu, Yutian Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781479986415

There are difficulties in detecting low voltage ride through (LVRT) ability of offshore doubly fed induction generator (DFIG) because of complexity of sea condition. In this paper, a new scheme is put forward to solve this problem. This new scheme takes into account the effect of submarine cables on transient process of circuit, and the influence on short-circuit capacity of remote point. It proposes a new method to configure parameters of testing device. And it is implemented at grid connection point (GCP) directly instead of installation site of wind generators. The simulation results in MATlab/Simulink validate the effectiveness of the scheme. © 2015 IEEE.

关键词： Submarines

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Interaction and Stability Analysis Between Grid-Forming and Grid-Following Converters

Interaction and Stability Analysis Between Grid-Forming and ...

引用

2023 International Conference on power system Technology, powerCon 2023

作者： Zhao, Yujing Ye, Hua Yang, Jialun Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350300222

Different from traditional grid-following (GFL) converter, grid-forming (GFM) converter can provide inertial support through various control modes, which means that it could improve system stability. However, the existing studies mainly focus on stability of system composed of homogeneous converters. Very few studies have analyzed the interaction between different types of converters. Therefore, this paper mainly analyzes the interaction and stability analysis between GFM converter and GFL converter. Firstly, the stability criterion is derived according to the equivalent impedance circuit model. Secondly, the sequence impedance models of both converters are established and further verified with sweep results. Thirdly, the interaction and stability of the system including GFM and GFL converter are analyzed by Nyquist curve. Finally, the accuracy of the proposed criterion and analysis in theory is validated by electromagnetic transient simulation. © 2023 IEEE.

关键词： Electromagnetic simulation

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Microgrid energy management strategy based on LSTM-DDQN 3

Microgrid energy management strategy based on LSTM-DDQN

引用

2024 3rd International Conference on Electrical, control and Information Technology, ECITech 2024

作者： Xin, Peiqi Wang, Hongtao Wang, Haobo Xu, Changmeng Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

This paper introduces a novel algorithm, LSTM-DDQN, designed to address the stochastic economic dispatch problem in microgrids. The inherent variability and randomness of photovoltaic (PV) energy pose challenges for accurate output prediction. Traditional approaches, including physical and statistical methods, often fall short in terms of accuracy. For microgrids with a high proportion of PV generation, we propose a new algorithm that combines Long Short-Term Memory (LSTM) neural networks with the Double Deep Q-Network (DDQN) algorithm. The algorithm leverages the LSTM model to capture the uncertainty of the learning environment and optimizes the Q-value iteration rules in the DDQN algorithm, thereby enhancing the training speed of the neural network. Experimental results demonstrate the algorithm's remarkable dispatch capabilities in managing the interplay between PV generation, battery capacity, and overall load demand. This algorithm provides robust support for the stable operation of microgrids. © 2024 Published under licence by IOP Publishing Ltd.

关键词： Long short-term memory

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