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作者： Ou, Wenda Nanchang Institute of Technology Jiangxi Nanchang China

Garden art is a living three-dimensional art, which comes from nature but is higher than nature. Therefore, imitating the real natural environment is the basic element of garden design, including the simulation of terrain, roads, buildings, climate and other factors. To reconstruct and design real scenes, the digital reconstruction system has been continuously exploring in this field. The purpose of this paper is to study the design of interactive garden landscape digital reconstruction system based on particle swarm algorithm. From the analysis of the current limitations of the garden and the requirements of the times, digitization and particle swarm algorithms are proposed to solve them. Among many professional technologies, GIS is selected as a technical tool, and the virtual technology function of VRGIS is selected in GIS to break through, and finally, an example is used to demonstrate its reconstruction. The function of the system. When the slope is above 4°, the terrain undulating height difference is large, which can promote the digitalization and scientificization of garden reconstruction. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Digital reconstruction Garden landscape Interactive design particle swarm algorithm

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Optimization Study of Microgrid Energy Storage System Based on particle swarm algorithm and Whale algorithm 4

Optimization Study of Microgrid Energy Storage System Based ...

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4th IEEE International Conference on Data Science and Computer Application, ICDSCA 2024

作者： Wang, Yifu Yang, Yiling Northeast Electric Power University Jilin China Chongqing Jiaotong University Chongqing China

ISBN: (纸本)9798350368239

In recent years, the development and utilization of renewable energy has become an important way to solve the global energy crisis and environmental pollution problems. This paper investigates the configuration of microgrids in parks, aiming to improve the utilization efficiency of renewable energy and the economy of power supply. Firstly, this paper analyzes in detail the key factors of the economic efficiency of the coordinated and optimized configuration scheme of wind and solar energy storage under the two modes of independent and joint operation of different park microgrids. Secondly, on the basis of the analyzed results, the optimal energy storage allocation scheme formulation model is constructed using particle swarm algorithm and whale algorithm respectively. Finally, the model is brought into different configuration scheme solving, and the result visualization of the final results proves the superiority of the model. ©2024 IEEE.

关键词： Economic Analysis Energy Storage System Park Microgrids particle swarm algorithm Whale algorithm

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Research on the routing planning of power communication service based on particle swarm algorithm 4

Research on the routing planning of power communication serv...

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4th IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： He, Ling Yi, Jizhao Wang, Shuyuan State Grid Xinjiang Electric Power Research Institute Information and Communication Technology Center Urumqi China State Grid Xinjiang Electric Power Co. Ltd Ehv Branch Company Urumqi China

ISBN: (纸本)9798350363586

With the development of smart grid, the scale of power and optical communication network is increasing, and the business carrying is becoming more and more diversified. At the present stage, the shortest path algorithm is mainly used for service route planning, which leads to the problem of unbalanced service importance distribution in the power optical communication network, and the high risk of the local network. To solve this problem, this paper proposes a risk balancing routing algorithm based on particle swarm algorithm. The algorithm considers the service importance distribution, takes the overall network risk degree, network bandwidth, time delay and service channel availability as constraints, and aims to realize the risk balance of power optical communication network. The subnetwork environment is selected to verify the scheme, and the research results show that the algorithm can effectively reduce the risk degree of the power optical communication network, and provide a strong guarantee for the safe operation of the power grid. © 2024 IEEE.

关键词： particle swarm algorithm power communication network risk equilibrium

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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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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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Flexible Load Collaborative Scheduling Method of Distribution Network Based on particle swarm algorithm

Flexible Load Collaborative Scheduling Method of Distributio...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Shang, Jiayi Zhao, Tianyu Li, Fei Zheng, Yamin Lu, Haibo Zhang, Zhipeng State Grid Hangzhou Power Supply Company Zhejiang Hangzhou China

ISBN: (纸本)9798350383348

With the change of energy structure and the continuous development of power system, new loads such as distributed energy and energy storage equipment are gradually connected to distribution network. These devices have certain adjustment ability, and can realize optimal control of distribution network through their cooperative scheduling. Flexible load cooperative dispatching method is a method to realize optimal operation of distribution system by dispatching flexible loads in distribution network. This paper will introduce the flexible load cooperative scheduling method in detail. © 2024 IEEE.

关键词： Collaborative scheduling distribution network Flexible loads particle swarm algorithm social behavior simulation theory

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Emergency Mission Planning of Sky Survey Based on Multi-Objective particle swarm algorithm 5

Emergency Mission Planning of Sky Survey Based on Multi-Obje...

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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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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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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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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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