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Load Shedding Model and Algorithm Based on Minimum Power Outage Lose

IOP Conference Series: Earth and Environmental Science 2021年第1期687卷

作者： Yasong Wang Zenggong Cao Chunyi Wang Bo Peng Peng Du Yinglei Guo Zhen Wei Xiaoming Dong Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan Shandong Province 250061 China State Grid Shandong Electric Power Company Jinan Shandong Province 250001 China Qingdao Electric Power Supply Company of State Grid Shandong Electric Power Company Qingdao Shandong Province 266002 China

This paper combines the power outage loss caused by load shedding with the optimization problem of load shedding during power shortage, and proposes a load shedding model that seeks the minimum power outage loss under the system's security and economic constraints. The model is a kind of optimal power flow. In order to reduce the complexity of solving the model, this paper adopts an improved linear programming algorithm to solve the model. With the help of Jacobian matrix, the objective function and constraints of the system are linearized and the linear optimal solution in the iterative space of control variables can be found. Through multiple iterations the scheme with the minimum power outage loss is obtained that satisfies various constraints while the total power generation cost of the system is minimized The correctness and superiority of the model and algorithm are verified in the IEEE14-bus system.

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Optimization of Energy Storage Capacity to Smooth Wind Power Fluctuation

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IOP Conference Series: Earth and Environmental Science 2021年第1期687卷

作者： Zenggong Cao Chunyi Wang Bo Peng Yasong Wang Peng Du Yinglei Guo Zhen Wei Xiaoming Dong State Grid Shandong Electric Power Company Jinan Shandong Province 250001 China Qingdao Electric Power Supply Company of State Grid Shandong Electric Power Company Qingdao Shandong Province 266002 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan Shandong Province 250061 China

The uncertainty and randomness of wind power generation bring hidden trouble to the safe operation of power distribution network. Combining energy storage system with wind power generation can effectively improve the output characteristics of wind power generation. In this paper, considering the investment cost of energy storage and the effect of suppressing the fluctuation of wind power output, the optimization of energy storage capacity under the scenario of wind power grid connection is studied. Firstly, the multi-objective capacity optimization model of the energy storage system is established to minimize the cost of the energy storage system and the variance of wind power system output equipped with energy storage. Then, the multi-objective optimization problem is transformed into a single objective optimization problem by introducing the weight coefficient of the objective function and the particle swarm optimization algorithm (PSO) is used to solve the problem. Finally, through the test of IEEE-33 bus distribution network system, the relationship curve between energy storage capacity and wind power fluctuation suppression effect is obtained. The results of numerical examples show the effectiveness of the proposed method.

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Research on guidance method based on angle description

Research on guidance method based on angle description

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Chinese Automation Congress (CAC)

作者： Hui Wang Ruiming Hao Yan Zhen Wugang Wang Yong Wei School of Aerospace Engineeringline Beijing Institute of Technology Beijing China Science and technology on complex system control and intelligent agent cooperation laboratory Beijing China Northwest Industries Group Co.LTD Xian China 672 Test Ground Hua An Industry Group Co. LTD Qiqihaer China

Based on the derivation of optimal proportional navigation, the new expressions with line of sight angle and trajectory angle for proportional navigation, integral proportional navigation and velocity pursuit are proposed. The guidance model with initial heading error is developed when considering a high order dynamics system for the integral proportional navigation and velocity pursuit. Comparative analysis results of miss distance demonstrate the guidance performance of integral proportional navigation and velocity pursuit.

关键词： Navigation Trajectory Missiles Mathematical model Analytical models Acceleration

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Optimal Power Flow Preventive control Considering Wind Farm Access

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IOP Conference Series: Earth and Environmental Science 2021年第1期687卷

作者： Fan Chen Zhiqing Liu Jifu Qiu Zhipeng Lu Ming Chen Qingda Niu Xiaoming Dong Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan Shandong Province 250061 China State Grid Shandong Electric Power Company Jinan Shandong Province 250001 China Qingdao Electric Power Supply Company of State Grid Shandong Electric Power Company Qingdao Shandong Province 266002 China

Renewable energy access will be an important trend in the development of the future power grid. In order to analyze the uncertainty brought by wind power access and improve the safety of the grid during steady-state operation, this paper models the uncertainty of wind power. An optimal power flow model considering the risk of power and voltage overruns is established. The model takes the optimal cost of power generation as the goal, takes into account the influence of transformer tap adjustment on system network parameters, and the constraint conditions take into account unit power and safety constraints, it is solved by the primal dual interior point method. The effectiveness of the model and algorithm proposed in this paper is verified by the IEEE14 test system.

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Artificial Intelligence Course Design: ISTREAM-based Visual Cognitive Smart Vehicles

Artificial Intelligence Course Design: ISTREAM-based Visual ...

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2018 IEEE intelligent Vehicles Symposium, IV 2018

作者： Gong, Xiaoyan Wu, Yilin Ye, Zifan Liu, Xiwei State Key Laboratory of Management and Control for Complex Systems Beijing100190 China Intelligent Education Institute Qingdao Academy of Intelligent Industries Qingdao266071 China Beijing NO. 13 School Beijing100088 China NO.2 High School Beijing Normal University Beijing100088 China

ISBN: (纸本)9781538644522

New intelligent era calls for new learners and thus urgently needs a series of artificial intelligence. As a good educational platform for teaching artificial intelligence, smart cars have aroused concern and practices of all parties. However, at present, most courses and training pay more attention to basic knowledge and technology of smart cars, seldom to training based on artificial intelligence curriculum system and comprehensive competency integrating science, technology, art and management. Therefore, based on concept of iSTREAM (intelligence for Science, Technology, Robotics, Engineering, Art, and Management) and Raspberry intelligent vehicle teaching platform, this paper introduced a smart car-themed artificial intelligence courses including basic courses, specialized courses, specialized technical courses and elective courses. This course can guide learners to develop smart cars based on visual cognition, in-depth learning, VR and 3D printing integrated artistic creativity. It combines disciplines such as science, technology, art, games and management to upgrade a single knowledge and technology course into a comprehensive competency course that integrates knowledge, skills, emotion and management. Practice in Beijing NO.13 and NO.101 High School shows that this course allows students to experience scientific research process, learn artificial intelligence related knowledge and skills, understand scientific way of thinking and scientific research methods, stimulate learners' responsibility and scientific passion, and cultivate leadership skills through self-learning and partly project management. © 2018 IEEE.

关键词： Project management

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Research on Computer Network Technology system Based on Artificial Intelligence Technology

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Journal of Physics: Conference Series 2021年第4期1802卷

作者： Jinling Yao Jie Liu College of Electronic Information and Engineering Tianjin Vocational institute Tianjin 300000 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin 300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology) Tianjin 300384 China

This article introduces computer network intrusion detection systems and their classification based on artificial intelligence technology, and points out the challenges that intrusion detection systems (IDS) are facing in wireless sensor computer networks. On this basis, a hierarchical multi-layer wireless sensor network intrusion detection system and technology based on artificial intelligence technology Agent is proposed, and its network structure, working principle and performance are analysed.

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Speech Emotion Recognition Based on Linear Discriminant Analysis and Support Vector Machine Decision Tree

Speech Emotion Recognition Based on Linear Discriminant Anal...

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第37届中国控制会议

作者： Jun-Wei Mao Yong He Zhen-Tao Liu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

For speech emotion recognition,emotional feature set with high dimension may produce redundant features and influence the recognition *** solve this problem and obtain the optimal emotional feature subset of speech,a feature dimension reduction based on linear discriminant analysis is *** to the confusion degree between different basic emotions,an emotion recognition method based on support vector machine decision tree is *** on speaker-dependent speech emotion recognition using Chinese speech database from institute of automation of Chinese academy of sciences is performed and a speech emotion recognition system is presented,where standard feature sets of the INTERSPEECH and classic classifiers are used in comparative experiments *** results show that the proposal achieves 84.39%recognition accuracy on *** proposal,it would be fast and efficient to discriminate emotional states of diverse speakers from speech,and it would make it possible to realize the interaction between speaker and computer/robot in the future.

关键词： Emotion Recognition Speech Linear Discriminant Analysis Support Vector Machine Decision Tree

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Panoramic synchronous measurement system for wide-area power system based on the cloud computing

Panoramic synchronous measurement system for wide-area power...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Yi Li Fang Shi Hengxu Zhang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

With plenty distributed generations accessing to the distribution network, dynamic behavior of the system becomes more complex. However, most of the current condition monitoring products are concentrated on the high voltage grid. It's necessary to extend condition monitoring to low voltage distribution network and provide a new decision support systems for grid operation. This paper presents a panoramic synchronous measurement system (PSMS), which is based on the cloud computing. This system integrates the wide-area measurement system (WAMS) and fault recorder system in high-voltage grid with the wide-area measurement system light (WAMS Light) in low-voltage grid. It constructs a four-tier structure in main station to achieve panoramic monitoring, which covers all voltage level. This method makes full use of the existing data sources and avoids repeated investment of monitoring network rebuilding. For the three kinds of measurement data different in the coding, type and format, this paper describes the common data character with big data perspective to integrate heterogeneous data in HBase. Hadoop is introduced to control the measurements migration, cleaning, integration and cloud computing, facilitating the dispatchers comprehensively capture the actual operation behavior of the monitored power grid.

关键词： Phasor measurement units Monitoring Power system dynamics Power grids Voltage measurement Real-time systems Big Data

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Research and Implementation of Target Tracking Algorithm Based on Convolution Neural Network

Research and Implementation of Target Tracking Algorithm Bas...

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第37届中国控制会议

作者： LiJun Zhang Chen Wang Xing Jin School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Video target tracking is an important research topic in computer vision, and has been widely used in video surveillance, robot, human-computer interaction and so on. The emergence of large data age and the emergence of in-depth learning methods provide a new opportunity for the study of video target tracking. This paper first analyzes the research problems of video target tracking at present, analyzes the characteristics and trends of video target tracking in the new period, introduces the emerging recursive neural network frame structure, combined with Kalman filter And the experimental results show that the accuracy and robustness of the target tracking based on the convolution neural network algorithm are all good.

关键词： Regional convolutional neural network. Target tracking Kalman filtering

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Radio-wave communication with chaos

arXiv

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arXiv 2018年

作者： Ren, Hai-Peng Zheng, Wu-Yun Grebogi, Celso Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an710048 China Institute for Complex System and Mathematical Biology SUPA University of Aberdeen AberdeenAB243UE United Kingdom

The invariance of the Lyapunov exponent of a chaotic signal as it propagates along a wireless transmission channel provides a theoretical base for the application of chaos in wireless communication. In additive Gaussian channel, the chaotic signal is proved to be the optimal coherent communication waveform in the sense of using the very simple matched filter to obtain the maximum signal-to-noise ratio. The properties of chaos can be used to reduce simply and effectively the Inter-Symbol Interference (ISI) and to achieve low bit error rate in the wireless communication system. However, chaotic signals need very wide bandwidth to be transmitted in the practical channel, which is difficult for the practical transducer or antenna to convert such a broad band signal. To solve this problem, in this work, the chaotic signal is applied to a radio-wave communication system, and the corresponding coding and decoding algorithms are proposed. A hybrid chaotic system is used as the pulse-shaping filter to obtain the baseband signal, and the corresponding matched filter is used at the receiver, instead of the conventional low-pass filter, to maximize the signal-to-noise ratio. At the same time, the symbol judgment threshold determined by the chaos property is used to reduce the Inter-Symbol Interference (ISI) effect. Simulations and virtual channel experiments show that the radio-wave communication system using chaos obtains lower bit error rate in the multi-path transmission channel compared with the traditional radio-wave communication system using Binary Phase Shift keying (BPSK) modulation technology and channel equalization. Copyright © 2018, The Authors. All rights reserved.

关键词： Matched filters

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