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5th International Conference on Electronic Communication and Artificial Intelligence, ICECAI 2024

作者： Jia, Rongsheng Wang, Hongfei Chinese Academy of Sciences Technology and Engineering Center for Space Utilization Beijing100094 China University of Chinese Academy of Sciences Beijing100094 China

ISBN: (纸本)9798350386943

The China Sky Survey Space Telescope (CSST) is a large-scale space astronomy project planned and constructed by China, which is of great significance in promoting the development of astronomy and many other fields. Sky survey is its main task, and it has a large number of observations, a wide observation range, a long mission cycle and is subject to complex constraints during its in-orbit operation. This paper combines the actual needs of engineering, analyzes the scientific objectives and mission constraints of the dynamic planning problem of the roving mission, establishes a dynamic mission planning model, and adopts a multi-objective particle swarm algorithm to solve the emergency mission planning problem. The algorithm is able to incorporate the emergency mission into the observation plan. Simulation experiments were conducted according to the actual scenarios, and different sizes of emergency mission data sets were set up for experiments and compared with NSGA-II and NSGA-III algorithms. The results show that the multi-objective particle swarm algorithm is higher than the other two algorithms in terms of solution accuracy and time efficiency. © 2024 IEEE.

关键词： mission planning particle swarm algorithm sky survey

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Power Grid Optimization Planning Based on particle swarm algorithm 3

Power Grid Optimization Planning Based on Particle Swarm Alg...

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3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

作者： Liu, Guangmao Du, Xiao Guo, Xueli Yao, Nan Zheng, Gang Wang, Shuang Grid Henan Electric Power Company Nanyang Power Supply Company Nanyang City China

ISBN: (纸本)9798350382426

As a critical component of future power systems, the proactive distribution network faces new challenges in its expansion planning. Firstly, the paper introduces a three-state weather model for the probability of distribution network line failures due to disasters. Subsequently, a bi-level model for distribution network expansion planning is established, where the upper-level model optimizes the planning of new distribution network lines, and the lower-level model plans the positions and capacities of DG units. A two-layer nested particle swarm optimization algorithm is employed to optimize and solve the model. Finally, through simulation analysis of a specific case study, the effectiveness and feasibility of the proposed method are validated. The research results indicate that considering extreme weather factors in planning can significantly enhance the reliability and adaptability of proactive distribution networks, providing valuable insights for the sustainable development of future power systems. © 2023 IEEE.

关键词： DG Location and Capacity Fault Probability particle swarm algorithm

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particle swarm algorithm applied in the layout optimization for console

Particle swarm algorithm applied in the layout optimization ...

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The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

作者： Yuqing Xu Qingxin Meng Zhi Yang College of Mechanical and Electrical Engineering Harbin Engineering University Harbin China

ISBN: (纸本)9781424458455

Components on console are usually arranged by manual layout according to ergonomics standards and experiences in nuclear power plant. It is hard to balance many criterions, for it depends much on designer's judgments and preferences. This method leads to a random layout results. particle swarm optimization is a solution to complex optimization problems with constraints, and has been applied successfully in layout and optimization fields. Fitness function was structured according to the evaluating indicators which include operation frequency and order and relationships between individuals. The optimization objective was evaluated by the hand moving distance. This method could be adopted to optimize the layout of components on human-machine interface in order to ensure safety and efficiency of the system. The troubles of subjective feelings and randomness are avoided. An example of 13 components is implemented to show the layout procedure.

关键词： layout optimization particle swarm algorithm console

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Adaptive Optimization Method of PID Controller with particle swarm algorithm for Grid-Connected Inverter in Photovoltaic Energy Storage System 3

Adaptive Optimization Method of PID Controller with Particle...

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3rd International Conference on Electrical Engineering and Control Science, IC2ECS 2023

作者： Li, Hongqiang Xue, Fei Li, Xutao Zhou, Lei Ma, Xin Electric Power Research Institute State Grid Ningxia Electric Power Company Ltd. Ningxia China

ISBN: (纸本)9798350382426

To solve the problem that the nonlinear impedance of photovoltaic energy storage system has great bad effect on the grid-connected characteristics, an adaptive optimization method of PID controller with particle swam algorithm for grid-connected inverter in photovoltaic energy storage system is proposed in this paper. The model of photovoltaic storage power generation system is built to estimate the grid-connected characteristic of the system. Grid voltage proportional fed-forward and phase-locked loop (PLL) are adopted for the grid-connected inverter, and adaptive PID controller is used for the inverter and the parameters are optimized with particle swarm algorithm (PSO). A simulation model is established with the optimized parameters, the characteristics about the current harmonics of the grid-connected inverter before and after the modification with the proposed method are compared, the comparison results show that the proposed method can effectively suppress the background harmonics and ensure that the grid current follows the phase of the grid voltage. © 2023 IEEE.

关键词： grid-connected inverter particle swarm algorithm photovoltaic energy storage system PID controller

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Optimization of Heliostat Field Arrangement Model Based on Geometric Relationship and particle swarm algorithm 4

Optimization of Heliostat Field Arrangement Model Based on G...

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4th IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2024

作者： Liu, Zhishuai Wei, Zhengyang Li, Jiangnan School of Mathematics Hohai University Nanjing China College of Computer Science and Software Engineering Hohai University Nanjing China

ISBN: (纸本)9798350359589

With the continuous progress of photovoltaic (PV) technology and the steady reduction of related costs, solar energy, as an important renewable energy source, shows an increasingly strong competitiveness in energy market competition. In the tower solar thermal power station, the arrangement of the heliostat field directly affects the power generation efficiency of the tower power generation system as well as the working cost. Therefore, this paper presents a model based on geometric relationship and particle swarm algorithm for the optimization of the heliostat field arrangement, mathematical modeling and calculating cosine efficiency, truncation efficiency, etc., and effectively improves the output thermal power as well as the optical efficiency of the heliostat field. Geometric planning is utilized to determine the location of the absorption tower, the coordinates of the heliostat arrangement and other layout parameters to optimize the layout of the tower solar system. Drawing on the idea of clustering, the model analyzes the characteristics of the heliostat mirrors in the same region, uses same or similar parameters to minimize the cost of computation, improving the overall optical efficiency of the mirror field. The particle swarm algorithm is utilized to solve the parameters such as mirror length and mirror width of the heliostat to get the suitable size of the heliostat for the heliostat mirror field. After completing all the calculation and optimization steps, the final solution of the model is carried out in this paper. The layout scheme of the heliostat field optimized by the implementation of the model gets a significant performance improvement. Specifically, the average annual thermal power output of the heliostat field is improved by 33.2309 MW, while the average annual optical efficiency is also improved by 43.2%. These improvements effectively enhance the power generation efficiency of the whole system, confirming the effectiveness of the optimization

关键词： Campo arrangement method Geometric relationship Mirror field optimization arrangement particle swarm algorithm Spatial transformation

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The optimization design for the journal-thrust couple bearing surface texture based on particle swarm algorithm

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TRIBOLOGY INTERNATIONAL 2024年 198卷

作者： Shi, Jiahao Zhao, Bin He, Jingyi Lu, Xiqun Harbin Engn Univ Harbin 150001 Peoples R China Wuhan Second Ship Design & Res Inst Wuhan 430205 Peoples R China

Journal-thrust coupled bearings (JTC bearings), unlike conventional journal or thrust bearings, require consideration of both reducing friction coefficient in the journal part while increasing the load-carrying capacity in the thrust part during lubrication design. This study established a thermal-elastohydrodynamic mixed lubrication model for JTC bearings considering flow, pressure, and thermal continuity conditions, validated through experiments. Based on this, the influence of texture parameters on lubrication under real heavy load conditions was preliminarily investigated. The orthogonal test design was then used to determine the texture parameter that had the greatest impact on optimization. Subsequently, particle swarm optimization (PSO) algorithm was employed for synchronous optimization design of textures for both journal and thrust parts.

关键词： Coupled effect Texture design Orthogonal test method particle swarm algorithm

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Design optimization of wind turbine tower with lattice-tubular hybrid structure using particle swarm algorithm

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STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS 2016年第15期25卷 743-758页

作者： Chen, Junling Yang, Rongchang Ma, Renle Li, Jinwei Tongji Univ Dept Struct Engn Shanghai 200092 Peoples R China Tongji Architectural Design Grp Co Ltd Shanghai Peoples R China

As the size of wind turbine grows, the cost of the commonest tubular structural system will also increase because of the increasing cost of transportation, assembly, erection and servicing. A lattice-tubular hybrid structural system, which is composed of a four-angle cross-shaped lattice structure at the bottom and a tubular structure at the top, is proposed for large wind turbine systems. The welding processes can be totally avoided and the fatigue strengths effectively improved because all members can be assembled by bolts in site after cutting and drilling in the factory. The ultimate bearing capacities of combined cross-shaped members subjected to axial compressions are obtained by a series of numerical analyses. The column curve of four-angle-combined cross-shaped members is obtained by fitting numerical results with a piecewise function. The particle swarm optimization algorithm is adopted to optimize the shape and size of the lattice partition in this study. The constraints including stress, slenderness ratio and frequency are applied to find the minimum weight of the lattice partition in the hybrid tower. The optimal results show that the proposed structural system is feasible and can resolve the disadvantages of the traditional tubular system in the fabricating, mounting and transporting. Copyright (c) 2016 John Wiley & Sons, Ltd.

关键词： wind turbines lattice tower hybrid structure particle swarm algorithm cross-shaped section structural optimization

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Expressway traffic flow prediction using chaos cloud particle swarm algorithm and PPPR model

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Journal of Southeast University(English Edition) 2013年第3期29卷 328-335页

作者：赵泽辉康海贵李明伟大连理工大学建设工程学部大连116024

Aiming at the real-time fluctuation and nonlinear characteristics of the expressway short-term traffic flow forecasting the parameter projection pursuit regression PPPR model is applied to forecast the expressway traffic flow where the orthogonal Hermite polynomial is used to fit the ridge functions and the least square method is employed to determine the polynomial weight coefficient *** order to efficiently optimize the projection direction a and the number M of ridge functions of the PPPR model the chaos cloud particle swarm optimization CCPSO algorithm is applied to optimize the parameters. The CCPSO-PPPR hybrid optimization model for expressway short-term traffic flow forecasting is established in which the CCPSO algorithm is used to optimize the optimal projection direction a in the inner layer while the number M of ridge functions is optimized in the outer *** volume weather factors and travel date of the previous several time intervals of the road section are taken as the input influencing factors. Example forecasting and model comparison results indicate that the proposed model can obtain a better forecasting effect and its absolute error is controlled within [-6,6] which can meet the application requirements of expressway traffic flow forecasting.

关键词： expressway traffic flow forecasting projectionpursuit regression particle swarm algorithm chaoticmapping cloud model

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Optimized Design of Cylindrical Uniform-Field Coil System With particle swarm algorithm for Calibrating Induction Magnetometer

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2023年 72卷

作者： Ding, Zhongya Huang, Ziyuan Han, Bangcheng Beihang Univ Sch Instrument Sci & Optoelect Engn Beijing 100191 Peoples R China Beihang Univ Hangzhou Innovat Inst Hangzhou 310051 Peoples R China Beihang Univ Res Inst Frontier Sci Beijing 100191 Peoples R China

To calibrate induction magnetometer with high precision, a cylindrical uniform-field coil system design method is proposed, which combines forward method with reverse design method in this article. The optimized cost function of coil design is set to the average field error within the target region to minimize the error of induction magnetometer calibration caused by uniform-field coil system. The particle swarm algorithm is applied to solving each group of coil's position and number of turns in the coil optimized design. According to the finite element analysis, the average error of the optimized coil in the target area is 0.009%, which is reduced by eight times than that of the Lee-Whiting coil system (0.075%). The experimental results of coil constant and magnetic fields along the axial were in good agreement with the simulation results. In addition, calibration experiments of three sets of induction magnetometers were carried out, whose experimental results show that the error of calibration using the optimized coil are all less than those of the Lee-Whiting coil system.

关键词： Magnetic fields Magnetometers Magnetic shielding Magnetic field measurement Calibration Magnetic noise Magnetic resonance imaging Calibration of induction magnetometer cylindrical uniform-field coil system particle swarm algorithm

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Sports image detection based on FPGA hardware system and particle swarm algorithm

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MICROPROCESSORS AND MICROSYSTEMS 2021年 80卷

作者： Hu Jing Xing Xiaoqiong Anhui Finance & Trade Vocat Coll Publ Educ Dept Hefei 230601 Anhui Peoples R China Anhui Hefei 168 Senior High Sch Hefei 230601 Anhui Peoples R China

The action of the opposition is conveyed on a fundamental level. Moreover, it finds image detection related information on contenders and football sports Image, which can be realized in the outside image. From the force situation, one can see that image advancement is up. Therefore, this assessment development image as a thing to ponder the usage of image acknowledgment development. Football sports detection is dealing with the whole system. The structure configuration relies upon hardware, including a Field Programmable Gate Array (FPGA). This new computation particle swarm algorithm estimation is implemented to edge recognizable proof, grayscale planning, object get, target affirmation, image area development, etc., which are consolidated into the genuine need of the game video to achieve the various essentials of development image acknowledgment. All the while, it has set itself up as a demonstrating ground to test the suitability of the investigation framework that sees the affirmation of contenders, games affirmation, sports lead judgment, etc. Football sports Image detection results of the relevant investigations have revealed that the existence of the solution.

关键词： Field Programmable Gate Array (FPGA) particle swarm algorithm Video Grayscale planning Edge recognizable proofI

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