Decreasing activity cost of a distribution system company by reconfiguration and power generation control of DGs based on shuffled frog leaping algorithm

Arandian, Behdad; Hooshmand, Rahmat‐Allah; Gholipour, Eskandar

doi:10.1016/j.ijepes.2014.03.001

Cited by 46 publications

(29 citation statements)

References 22 publications

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“…Load shedding, considered as corrective action, is verified in various literatures [134][135][136][137][138]. Other various mathematical modelling and optimisation techniques include: PSO [139], decision trees [140][141][142][143][144][145], model predictive control [146], ant colony system [147][148][149], GA and ANN [150], differential evolution [151,152], and various other optimisation techniques [153,154].…”

Section: System Operationmentioning

confidence: 99%

Time‐horizons in the planning and operation of transmission networks: an overview

Khuntia

Tuinema

Rueda

et al. 2016

IET Generation, Transmission & Distribution

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In the planning and operation of power systems, actions are taken in different processes and time-horizons. The purpose of these actions is to secure a high reliability level. Although the three main processes (grid development, asset management, and system operation) are described in literature, there has been no explicit study on the time-horizons (long-term, mid-term, and short-term) and actual time-scale (decades, years, months, etc.) that these processes focus on. This study aims at making a review of the various activities performed by transmission system operators while reviewing the concept of each time-horizon and methodologies developed in literature. As decisions taken in different time-horizons can influence each other, the interactions and overlapping are discussed.

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Section: System Operationmentioning

confidence: 99%

Time‐horizons in the planning and operation of transmission networks: an overview

Khuntia

Tuinema

Rueda

et al. 2016

IET Generation, Transmission & Distribution

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“…In [114], a modified version of shuffled frog leaping algorithm (SFLA) [115] has been used for optimising total cost of distribution systems in the presence of DG units. Status of sectionalising and tie switches, location and size of DG units are found in a way that the considered objective is minimised.…”

Section: Review From Viewpoint Of Used Optimisation Algorithms Objecmentioning

confidence: 99%

“…In [25,35,43,74,75,77,79,92,94,96], simultaneous multistage planning has been done. [111] No planning Constant load 33, 69, 85 and 141 nodes Current system No planning [114] No planning Daily load profile for commercial, residential and industrial loads have been used.…”

Section: Review From Viewpoint Of Planning Type Planning Period Sysmentioning

confidence: 99%

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Optimisation of electric distribution systems: A review

Jordehi¹

2015

Renewable and Sustainable Energy Reviews

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“…In essence, SFLA contains the element of both the local search method of PSO (particle swarm optimization) and the concept of mixing information of the shuffled complex evolution. Since inception SFLA has proved its efficacy and has been applied successfully in finding global solutions to several real world global optimization problems 6,7 . In SFLA, a set of frogs represents the population of possible solutions, which is partitioned into subsets called memeplexes.…”

Section: Outline Of Sflamentioning

confidence: 99%

Centroid Mutation Embedded Shuffled Frog-Leaping Algorithm

Sharma

Pant

et al. 2015

Procedia Computer Science

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Stochastic search algorithms that take their inspiration from nature are gaining a great attention of many researchers to solve high dimension and non -linear complex optimization problems for which traditional methods fails. Shuffled frog -leaping algorithm (SFLA) is recent addition to the family of stochastic search algorithms that take its inspiration from the foraging process of frogs. SFLA has proved its efficacy in solving discrete as well as continuous optimization problems. The present study introduces a modified version of SFLA that uses geometric centroid mutation to enhance the convergence rate. The variant is named as Centroid Mutated -SFLA (CM-SFLA). The proposal is implemented on five benchmark and car side impact problem. Simulated results illustrate the efficacy of the proposal in terms of convergence speed and mean value.

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Decreasing activity cost of a distribution system company by reconfiguration and power generation control of DGs based on shuffled frog leaping algorithm

Cited by 46 publications

References 22 publications

Time‐horizons in the planning and operation of transmission networks: an overview

Time‐horizons in the planning and operation of transmission networks: an overview

Optimisation of electric distribution systems: A review

Centroid Mutation Embedded Shuffled Frog-Leaping Algorithm

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