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Distribution System Optimization Planning Based on Plant Growth Simulation Algorithm 认领 引用 被引量：8
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作者 王淳 程浩忠 +1 位作者 胡泽春 王一 《Journal of Shanghai Jiaotong university(Science)》 EI 2008年第4期462-467,共6页
An approach for the integrated optimization of the construction/expansion capacity of high-voltage/ medium-voltage (HV/MV) substations and the configuration of MV radial distribution network was presented using plant ... An approach for the integrated optimization of the construction/expansion capacity of high-voltage/ medium-voltage (HV/MV) substations and the configuration of MV radial distribution network was presented using plant growth simulation algorithm (PGSA). In the optimization process, fixed costs correspondent to the investment in lines and substations and the variable costs associated to the operation of the system were considered under the constraints of branch capacity, substation capacity and bus voltage. The optimization variables considerably reduce the dimension of variables and speed up the process of optimizing. The effectiveness of the proposed approach was tested by a distribution system planning. 展开更多
关键词 distribution system planning plant growth simulation algorithm （PGSA） random search optimization
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An Algorithm for Cloud-based Web Service Combination Optimization Through Plant Growth Simulation 认领 引用 被引量：1
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作者 Li Qiang Qin Huawei +1 位作者 Qiao Bingqin Wu Ruifang 《系统仿真学报》 EI CAS CSCD 北大核心 2025年第2期462-473,共12页
In order to improve the efficiency of cloud-based web services,an improved plant growth simulation algorithm scheduling model.This model first used mathematical methods to describe the relationships between cloud-base... In order to improve the efficiency of cloud-based web services,an improved plant growth simulation algorithm scheduling model.This model first used mathematical methods to describe the relationships between cloud-based web services and the constraints of system resources.Then,a light-induced plant growth simulation algorithm was established.The performance of the algorithm was compared through several plant types,and the best plant model was selected as the setting for the system.Experimental results show that when the number of test cloud-based web services reaches 2048,the model being 2.14 times faster than PSO,2.8 times faster than the ant colony algorithm,2.9 times faster than the bee colony algorithm,and a remarkable 8.38 times faster than the genetic algorithm. 展开更多
关键词 cloud-based service scheduling algorithm resource constraint load optimization cloud computing plant growth simulation algorithm
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Low-Carbon and Economic Dispatch Strategy Considering Optimal Multi-Machine Allocation and Power Control for Grid-Forming Energy Storage in Micro-Energy Grids 认领 引用
3
作者 Yiqun Kang Zhe Li +3 位作者 Li You Haozhe Xiong Yuxuan Hu Fei Wang 《Energy Engineering》 EI 2026年第9期80-94,共15页
As the world's energy framework shifts towards a low-carbon model,the widespread incorporation of renewable energy(RE)sources,primarily wind power and photovoltaics(PV),into the power grid is an unavoidable develo... As the world's energy framework shifts towards a low-carbon model,the widespread incorporation of renewable energy(RE)sources,primarily wind power and photovoltaics(PV),into the power grid is an unavoidable development.The micro-energy grid(MEG),as an integrated system that combines distributed energy,energy storage(ES),and power loads,can achieve efficient consumption of RE by implementing multi-machine optimal allocation and unified coordinated power control for parallel operation of grid-forming energy storage(GFES).For this purpose,this paper puts forward a low-carbon and economic dispatch strategy for MEG that considers multi-machine optimal allocation of GFES and unified coordinated power control for parallel operation.The strategy constructs a multi-machine optimal allocation model for GFES in the outer layer,striving to achieve the lowest operational costs for the MEG.In the inner layer,based on the obtained optimal multi-machine allocation scheme for GFES,a unified coordinated power control model for parallel operation of GFES in the MEG is constructed,targeting the minimization of pollutant gas emissions and system voltage deviation.The plant growth simulation algorithm(PGSA)is employed to solve the established models for multi-machine optimal allocation of GFES and unified coordinated power control for parallel operation in the MEG.Through simulation analysis,it has been substantiated that the proposed method can effectively achieve multi-machine optimal allocation and unified coordinated power control for parallel operation of GFES,reduce the operational costs of the MEG system,while also decreasing pollutant gas emissions and stabilizing system operation,thereby offering robust and substantial backing for the attainment of a low-carbon economy and the pursuit of sustainable development. 展开更多
关键词 Grid-forming energy storage unified coordinated power control micro energy grid plant growth simulation algorithm low-carbon and economic dispatching strategy
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Optimized interval 2-tuple linguistic aggregation operator based on PGSA and its application in MAGDM 认领 引用 被引量：2
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作者 ZONG Mengting SHEN Tian CHEN Xi 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2019年第6期1192-1201,共10页
This study proposes a multiple attribute group decisionmaking(MAGDM)approach on the basis of the plant growth simulation algorithm(PGSA)and interval 2-tuple weighted average operators for uncertain linguistic weighted... This study proposes a multiple attribute group decisionmaking(MAGDM)approach on the basis of the plant growth simulation algorithm(PGSA)and interval 2-tuple weighted average operators for uncertain linguistic weighted aggregation(ULWA).We provide an example for illustration and verification and compare several aggregation operators to indicate the optimality of the assembly method.In addition,we present two comparisons to demonstrate the practicality and effectiveness of the proposed method.The method can be used not only to aggregate MAGDM problems but also to solve multi-granularity uncertain linguistic information.Its high reliability,easy programming,and high-speed calculation can improve the efficiency of ULWA characteristics.Finally,the proposed method has the exact characteristics for linguistic information processing and can effectively avoid information distortion and loss. 展开更多
关键词 multiple attribute group decision making(MAGDM) in terval 2-tuple plant growth simulation algorithm(PGSA) weighted Steiner point.
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A New Method for Comprehensive Evaluation of Air Quality in Urban Agglomeration 认领 引用
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作者 Li Lei Xinli Chen Wei Liu 《Atmospheric and Climate Sciences》 2021年第3期547-562,共16页
In this study, a new method for a comprehensive evaluation of air quality in urban agglomerations was developed based on a prototype used to solve the spatial Steiner-Weber point. With this method, the air quality inf... In this study, a new method for a comprehensive evaluation of air quality in urban agglomerations was developed based on a prototype used to solve the spatial Steiner-Weber point. With this method, the air quality information of each city in the city group is aggregated into an optimal gathering point, and then the air quality of the city group is then dynamically evaluated each year. According to the relevant data of the China Statistical Yearbook 2018, we applied this method to aggregate the air quality indices of the major cities in the Beijing-Tianjin-Hebei urban agglomeration from 2014 to 2017. Using the plant growth simulation algorithm (PGSA), the optimal assembly points were calculated to be of a higher accuracy, compared to the traditional mean value aggregation method. Finally, the air quality of the Beijing-Tianjin-Hebei urban agglomeration during each year was evaluated dynamically based on the obtained assembly points. The results show that the air quality of the urban agglomeration is ranked as follows: Y2016Y2015Y2017Y2014. 展开更多
关键词 Urban Agglomeration Air Quality Optimal Information Aggregation Dynamical Evaluation Plant Growth Simulation Algorithm
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