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Power system reconfiguration and loss minimization for a distribution systems using “Catfish PSO” algorithm

K Sathish KUMAR,S NAVEEN

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 434-442 doi: 10.1007/s11708-014-0313-y

Abstract: One of the very important ways to save electrical energy in the distribution system is network reconfiguration for loss reduction. Distribution networks are built as interconnected mesh networks; however, they are arranged to be radial in operation. The distribution feeder reconfiguration is to find a radial operating structure that optimizes network performance while satisfying operating constraints. The change in network configuration is performed by opening sectionalizing (normally closed) and closing tie (normally opened) switches of the network. These switches are changed in such a way that the radial structure of networks is maintained, all of the loads are energized, power loss is reduced, power quality is enhanced, and system security is increased. Distribution feeder reconfiguration is a complex nonlinear combinatorial problem since the status of the switches is non-differentiable. This paper proposes a new evolutionary algorithm (EA) for solving the distribution feeder reconfiguration (DFR) problem for a 33-bus and a 16-bus sample network, which effectively ensures the loss minimization.

Keywords： distribution system reconfiguration (DFR)     power loss reduction     catfish particle swarm optimization (catfishPSO)     radial structure    

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Solution to economic dispatch problem with valve-point loading effect by using catfish PSO algorithm

K. MURALI,T. JAYABARATHI

Frontiers in Energy 2014, Volume 8, Issue 3,   Pages 290-296 doi: 10.1007/s11708-014-0305-y

Abstract: This paper proposes application of a catfish particle swarm optimization (PSO) algorithm to economicThe conventional PSO and catfish PSO algorithms are applied to three different test systems and the solutionsThe comparison of solutions shows that catfish PSO outperforms the conventional PSO and other methods

Keywords： economic dispatch (ED)     valve point loading     catfish particle swarm optimization (PSO)     optimization    

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Constriction factor based particle swarm optimization for analyzing tuned reactive power dispatch

Syamasree BISWAS(RAHA), Kamal Krishna MANDAL, Niladri CHAKRABORTY

Frontiers in Energy 2013, Volume 7, Issue 2,   Pages 174-181 doi: 10.1007/s11708-013-0246-x

Abstract: The reactive power dispatch (RPD) problem is a very critical optimization problem of power system whichThe particle swarm optimization (PSO) technique is a swarm intelligence based fast working optimizationmethod which is chosen in this paper as an optimization tool.Additionally, the constriction factor is included with the conventional PSO technique to accelerate theconvergence property of the applied optimization tool.

Keywords： real power loss minimization     voltage stability     constriction factor     particle swarm optimization (PSO)    

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Estimation of distribution algorithm enhanced particle swarm optimization for water distribution networkoptimization

Xuewei QI,Ke LI,Walter D. POTTER

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 341-351 doi: 10.1007/s11783-015-0776-z

Abstract: The optimization of a water distribution network (WDN) is a highly nonlinear, multi-modal, and constrainedParticle swarm optimization (PSO) has been shown to be a fast converging algorithm for WDN optimizationdistribution algorithm (EDA) using historic best positions to construct a sample space is hybridized with PSO

Keywords： particle swarm optimization (PSO)     diversity control     estimation of distribution algorithm (EDA)     water    

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A hybrid BFA-PSO algorithm for economic dispatch with valve-point effects

T. Jayabarathi, Prateek Bahl, Harsha Ohri, Afshin Yazdani, V. Ramesh

Frontiers in Energy 2012, Volume 6, Issue 2,   Pages 155-163 doi: 10.1007/s11708-012-0189-7

Abstract: the economic dispatch (ED) problems with valve-point effects, by integrating the biased velocity of particleswarm optimization (PSO) to the chemotaxis, swarming and reproduction steps of bacterial foraging algorithmIn order to solve such problems the best cell (or particle) biased velocity (vector) is added to the

Keywords： bacterial foraging algorithm (BFA)     economic dispatch (ED)     particle swarm optimization (PSO)     valve-point    

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Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1698-9

Abstract:

● Data acquisition and pre-processing for wastewater treatment were summarized.

Keywords： Chemical oxygen demand     Mining-beneficiation wastewater treatment     Particle swarm optimization     Support    

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Particle swarm optimization model to predict scour depth around a bridge pier

Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 855-866 doi: 10.1007/s11709-020-0619-2

Abstract: Therefore, this paper aims to develop new equations using particle swarm optimization as a metaheuristicMoreover, the ratio of pier width to flow depth and ratio of 50 (mean particle diameter) to flow depth

Keywords： scour depth     bridge design and construction     particle swarm optimization     computational mechanics     artificial    

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Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particleswarm optimization

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 3-3 doi: 10.1007/s11465-021-0659-x

Abstract: The particle swarm optimization method based on informative value is proposed for kinematic parameter

Keywords： ultrasound image guidance     prostate percutaneous intervention     parallel robot     kinematics identification     particleswarm optimization     informative value    

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Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Strategic Study of CAE 2004, Volume 6, Issue 5,   Pages 87-94

Abstract:

Particle swarm optimization (PSO) is a new optimization technique originating from artificial lifeThe algorithm completes the optimization through following the personal best solution of each particleand the global best value of the whole swarm.PSO can be implemented with ease and few parameters need to be tuned.of PSO are also presented.

Keywords： swarm intelligence     evolutionary algorithm     particle swarm optimization    

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Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1127-1140 doi: 10.1007/s11709-022-0838-9

Abstract: deals with the inverse analysis of the crack detection problems using triple hybrid algorithms based on ParticleSwarm Optimization (PSO); these hybrids are Particle Swarm Optimization-Genetic Algorithm-Firefly Algorithm(PSO-GA-FA), Particle Swarm Optimization-Grey Wolf Optimization-Firefly Algorithm (PSO-GWO-FA), andParticle Swarm Optimization-Genetic Algorithm-Grey Wolf Optimization (PSO-GA-GWO).The results show that among the proposed triple hybrid algorithms, the PSO-GA-FA and PSO-GWO-FA algorithms

Keywords： crack     cantilever beam     triple hybrid algorithms     Particle Swarm Optimization    

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Study on the project multiple-objectives coordination

Liu Xiaofeng,Chen Tong, Wu Shaoyan

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 90-94

Abstract:

The Particle Swarm Optimization (PSO) is an evolutionary computation,Hence, the article focuses on the application of PSO to the multiple-objective coordination optimizationat the efficiency coefficient of quality, cost, time and resource subsystem, and set up a multiple optimizationIn the following part, the article introduces how to apply PSO to solve the project coordination optimizationThe numeric example followed indicates that PSO can solve the multiple-objectives coordination optimization

Keywords： Particle Swarm Optimization (PSO)     project management     efficiency coefficient of coordination     multipleoptimization coordination model     numeric example    

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Using improved particle swarm optimization totune PID controllers in cooperative collision avoidance Article

Xing-chen WU, Gui-he QIN, Ming-hui SUN, He YU, Qian-yi XU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9,   Pages 1385-1395 doi: 10.1631/FITEE.1601427

Abstract: controllersinto cooperative collision avoidance systems (CCASs) has been hinderedby difficulties in their optimizationInthis paper, we propose a method to optimize PID controllers usingan improved particle swarm optimization(PSO) algorithm, and to bettermanipulate cooperative collision avoidance with other vehicles.Finally, we perform a simulation test of performancebefore and after the optimization of the PID controller

Keywords： Cooperative collision avoidance system (CCAS)     Improved particle swarm optimization (PSO)     PID controller    

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Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 45-50

Abstract: then the vibration response forecasting model of the powerhouse is built based on LS-SVM optimized by particleswarm optimization algorithm, and the prediction results are coincide with the observed data.

Keywords： powerhouse     coupled vibration     particle swarm optimization algorithm     least squares support vector machines    

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Hybrid method integrating machine learning and particle swarm optimization for smart chemical process

Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 274-287 doi: 10.1007/s11705-021-2043-0

Abstract: Modeling and optimization is crucial to smart chemical process operations.Thus, this paper presents an efficient hybrid framework of integrating machine learning and particleswarm optimization to overcome the aforementioned difficulties.Finally, optimal process operations were obtained by using the particle swarm optimization approach.

Keywords： smart chemical process operations     data generation     hybrid method     machine learning     particle swarm optimization    

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Application prospect of PSO in hydrology

Dong Qianjin,Cao Guangjing,Wang Xianjia,Dai Huichao,Zhao Yunfa

Strategic Study of CAE 2010, Volume 12, Issue 1,   Pages 81-85

Abstract: is pointed out that should strengthen the study of adaptive mechanism and convergence performance in PSO

Keywords： hydrology science     particle swarm optimization     scheduling operation     economical operation    

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Title Author Date Type Operation

Power system reconfiguration and loss minimization for a distribution systems using “Catfish PSO” algorithm

K Sathish KUMAR,S NAVEEN

Journal Article

Solution to economic dispatch problem with valve-point loading effect by using catfish PSO algorithm

K. MURALI,T. JAYABARATHI

Journal Article

Constriction factor based particle swarm optimization for analyzing tuned reactive power dispatch

Syamasree BISWAS(RAHA), Kamal Krishna MANDAL, Niladri CHAKRABORTY

Journal Article

Estimation of distribution algorithm enhanced particle swarm optimization for water distribution networkoptimization

Xuewei QI,Ke LI,Walter D. POTTER

Journal Article

A hybrid BFA-PSO algorithm for economic dispatch with valve-point effects

T. Jayabarathi, Prateek Bahl, Harsha Ohri, Afshin Yazdani, V. Ramesh

Journal Article

Water quality prediction of copper-molybdenum mining-beneficiation wastewater based on the PSO-SVR model

Journal Article

Particle swarm optimization model to predict scour depth around a bridge pier

Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Timon RABCZUK

Journal Article

Ultrasound-guided prostate percutaneous intervention robot system and calibration by informative particleswarm optimization

Journal Article

Survey on Particle Swarm Optimization Algorithm

Yang Wei,Li Chiqiang

Journal Article

Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Journal Article

Study on the project multiple-objectives coordination

Liu Xiaofeng,Chen Tong, Wu Shaoyan

Journal Article

Using improved particle swarm optimization totune PID controllers in cooperative collision avoidance

Xing-chen WU, Gui-he QIN, Ming-hui SUN, He YU, Qian-yi XU

Journal Article

Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Journal Article

Hybrid method integrating machine learning and particle swarm optimization for smart chemical process

Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan

Journal Article

Application prospect of PSO in hydrology

Dong Qianjin,Cao Guangjing,Wang Xianjia,Dai Huichao,Zhao Yunfa

Journal Article