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IEEE Asia Power and Energy Engineering Conference (APEEC)

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

With the rapid increase of renewable energy sources (RESs), traditional sequential dispatching of active distribution network (ADN) is facing more and more challenges. This paper establishes a unified economic dispatching model for short-term operations of distribution network (DN) with multiple active management measures. Network reconfiguration is also considered to improve the flexibility of ADN. Multiple time resolution is applied to simultaneously determine the operation state of controllable units, network topology, and the output of active management devices. In order to better capture RES and load fluctuations, the proposed model uses 5min, 15min and 30min time resolution in the first three hours, respectively. The entire dispatching model can be transformed into a mixed integer linear programming (MILP) problems via several linearization methods. The proposed model is tested on the IEEE 33-node distribution system. The validity and effectiveness of the proposed model are illustrated by case studies.

关键词： Renewable energy sources Fluctuations Network topology Energy resolution Energy measurement Distribution networks Dispatching

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Research on Load-shedding control Strategy Considering Wind Farm Output Fluctuation Based on WAMS

Research on Load-shedding Control Strategy Considering Wind ...

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International Conference on Power system Technology (POWERCON)

作者： Dan Xie Qing Chen Ye Sun Ning Shao Yuzhan Dong Wei Ding Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

After the fault line is removed, the active power will transfer, which may cause the related lines to overload. If the backup protection acts before the safety automatic device complete its action, it may cause a cascading trip. Large-scale wind farm access will also affect the network active power distribution. This paper proposes a backup protection load-shedding control strategy based on a wide area measurement system (WAMS) considering wind farm output fluctuation to realize the coordination of backup protection and safety automatic devices in a power system with wind farm access. The effective control node pair is selected by using the power reverse equivalent pairing method. In view of the multiple lines being overloaded at the same time, an optimal control node pair screening method based on the weighted osculating value method is proposed. In order to verify the effectiveness of the load-shedding control strategy proposed in this paper considering the output fluctuation of wind farms, an IEEE 10-machine 39-node system is taken as an example. The simulation results are verified by PSASP.

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Frequency control Strategy of Storage-Based Wind Farm as Black Start Power Source

Frequency Control Strategy of Storage-Based Wind Farm as Bla...

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

作者： Xuemei Fan Hongtao Wang Xiaoting Lv Zhen Song Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

With the advancement of new energy technologies, renewable energy generation is predicted to dominate the power system's black-start recovery process as a black-start power source. This study investigates the operating principle of BSWPS, factors influencing its output, effective output capacity, and its potential to engage in primary and secondary frequency regulation during power system black start. A BSWPS simulation model is developed, the control strategy of BSWPS as a system black start power source is investigated, and the possibility of BSWPS participating in frequency regulation during the black start phase is investigated. In order to allocate power reasonably, the paper suggests a strategy that combines a black start optimization model and a battery storage-based wind power system scheduling system model. The wind power prediction method is used to assess the wind power output, and Gurobi is used to solve the scheduling system model. The black start of the power system is effectively accomplished, according to test results in a system that has been retrofitted with a real grid, and the frequency stability of the system is greatly improved.

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Optimal Configuration Strategy of Condensers for Suppressing Large-Scale Wind Power Generation Low Voltage Ride Through Short-Time Active Power Impact

Optimal Configuration Strategy of Condensers for Suppressing...

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International Conference on Power system Technology (POWERCON)

作者： Xinyu Wei Guofang Zhu Lei Ding Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

Given the significant percentage of renewable energy sources in the power grid, the problems of frequency stability and voltage stability are becoming more and more prominent. By configuring the synchronous condenser (SC), it has the capability to furnish dynamic reactive power assistance, thereby enhancing its ability to maintain voltage support and reduce the active power impact caused by low voltage ride through (LVRT) of wind turbine (WT). However, the current power grid lacks an effective configuration strategy for the SC. This paper analyzes the impact of the access of the SC on the voltage support capacity based on the active power current impulse (APCI). The results show that the node with the lowest APCI is the optimal configuration position of the SC after the access of the SC. Based on the above conclusions, this paper proposes an optimal configuration scheme for a SC based on APCI. The simulation results show that the method proposed in this paper can effectively suppress the short-term active power impulse caused by large-scale wind power LVRT and avoid the transformation from local voltage problem to global frequency problem.

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Effective distributed algorithm for solving linear matrix equations

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Science China(Information Sciences) 2023年第8期66卷 265-266页

作者： Songsong CHENG Jinlong LEI Xianlin ZENG Yuan FAN Yiguang HONG Anhui Engineering Laboratory of Human-Robot Integration System and Intelligent Equipment School of Electrical Engineering and Automation Anhui University Department of Control Science and Engineering Tongji University Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology

Dear editor,Solving linear matrix equations is a basic and important problem in many fields such as the computation of generalized inverses of matrices and(generalized) Sylvester equations. Also, the linear algebraic ...

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Multi-Objective Topology Reconfiguration Strategy for Promoting PV Consumption of Distribution systems

Multi-Objective Topology Reconfiguration Strategy for Promot...

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International Conference on Power system Technology (POWERCON)

作者： Zhengxing Ren Xiaodong Chu Hua Ye Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China

The use of intermittent new energy sources is an important part of driving the low-carbon transition of the power system. PV (Photovoltaic) grid-connected increases the volatility of the distribution system. As the basis of power system operation, the topology can directly influence the PV generation and flow distribution. To promote PV consumption, the flexibility of the distribution system topology needs to be fully utilized. A topology optimization strategy is proposed in this paper to cope with the increasing penetration of PV in distribution systems. First, a multi-objective topology reconfiguration model considering PV consumption and power quality is established. After that, an improved multi-objective discrete particle swarm optimization algorithm is used to find the optimal solution set. Finally, gray relational analysis is applied to select the optimal reconfiguration plan. The case study results of the IEEE 33-bus system demonstrate that this strategy can effectively promote PV consumption.

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Few-Reference Image Quality Assessment with Multiple Information Measurement Fusion 9th

Few-Reference Image Quality Assessment with Multiple Inform...

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9th International Forum on Digital Multimedia Communication, IFTC 2022

作者： Shi, Shuang Wang, Simeng Liu, Yuchen Zhou, Chengxu Gu, Ke Faculty of Information Technology Beijing University of Technology Beijing China Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Beijing China Beijing Laboratory of Smart Environmental Protection Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China Beijing Artificial Intelligence Institute Beijing China School of Electronic and Information Engineering Liaoning University of Technology Liaoning Jinzhou China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China

ISBN: (纸本)9789819908554

In the era of media information explosion, there is an urgent need for a fast and reliable image quality assessment (IQA) model to improve the actual application effect of images. To this end, we propose the multiple information measurement fusion metric (MMFM), which innovatively combines two types of information measures (IMs), i.e., local IM and global IM, using only a small number of references for IQA. First, inspired by the free energy theory, we combine 2-dimensional autoregressive model with sparse random sampling method as an inference engine on an input image to generate its associated predicted image. Second, by the inspiration of pixel-wise measurement, we obtain the local IM by calculating the information entropy of the residual error between the input image and its corresponding predicted one. Third, motivated by the histogram-based measurement, we acquire the global IM by computing the two kinds of divergences between the input image and its predicted one. Fourth, we systematically fuse three components, independently including one distance of local IM between the reference and corrupted images and two distances of global IMs between the reference and corrupted images, based on a linear function to derive the final IQA result. The results of experiment on the most popular LIVE database show that our designed algorithm with only one number used as few reference has achieved well performance as compared with several mainstream IQA models. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Image enhancement

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Predicting Helpfulness of Multimodal Reviews with Customer Confirmation Bias: A Hierarchically-Trusted Multi-View Deep Learning Method

SSRN

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SSRN 2024年

作者： Yang, Ying Tang, Si Ren, Gang School of Management Hefei University of Technology Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei230009 China Ministry of Education Engineering Research Center for Intelligent Decision-Making & Information System Technologies Hefei230009 China

Accurately identifying high quality online-reviews is beneficial to both consumers and e-commerce platforms. Consumers usually exhibit confirmation bias phenomenon when evaluating the helpfulness of product reviews. However, there has been limited research on simulating and incorporating this information processing bias into predicting multimodal review helpfulness. To address this challenge, we combine confirmation bias theory with deep learning techniques, and propose a hierarchically-trusted multi-view deep learning method for predicting the helpfulness of multimodal reviews. Drawing upon the elaborate likelihood model and confirmation bias theory, multiple views are designed to represent consumers’ initial beliefs, central cues and peripheral cues of multimodal reviews. A hierarchically-trusted multi-view fusion strategy is designed to dynamically aggregate the different views considering their interactions. Experimental results on the *** review dataset demonstrate that the proposed method effectively improves the accuracy of evaluating the values of online reviews. This research contributes to the improvement of platform service operations and enhances consumer experience. © 2024, The Authors. All rights reserved.

关键词： Deep learning

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

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

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International Conference on Power system Technology (POWERCON)

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

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.

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GPU-Based N-1 AC Power Flow with an Improved-Convergence Fast Decoupled Method Considering Memory Limitations in Large Power Grids

GPU-Based N-1 AC Power Flow with an Improved-Convergence Fas...

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International Conference on Power system Technology (POWERCON)

作者： Xinyuan Meng Zhihao Yun Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

The fast and random variation in large-scale power system operation caused by the integration of renewable energy brings challenges for the accuracy and real-time performance of N-1 security analysis (SSA). To meet the requirements., the N-l AC power flow calculation can be accelerated effectively by taking advantage of the powerful parallel ability of the GPU. The fast decoupled power flow method is suitable for GPU-based N-l AC power flow because of its high computational speed and smaller storage space requirements. To solve the problem that the number of iterations may increase dramatically in some heavy-load scenarios., an improved-convergence fast decoupled method is proposed that does not increase the storage occupation considering the memory limitations of the GPU. The effectiveness of the proposed method is verified on several large-scale test systems. The test results demonstrate that the performance of the method proposed in this paper is satisfactory for the online N-l SSA of large power grids.

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