Optimal of shunt capacitor placement and size in Algerian distribution network using particle swarm optimization

Mosbah, Mustafa; Mohammedi, Ridha Djamel; Arif, Salem; Hellal, A.

doi:10.1109/icmic.2016.7804297

Cited by 19 publications

(4 citation statements)

References 16 publications

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“…The authors evaluated the power loss, cost of DG units, emissions, and fuel, with the major constraint of maintaining an acceptable harmonic distortion level. Mosbah et al [88] proposed a modified PSO to optimally allocate and size shunt capacitors in a radial distribution system. The algorithm was implemented by reducing the high current that causes a voltage drop, which minimizes the real power loss and reduces capacitor costs.…”

Section: B Swarm-based Algorithmsmentioning

confidence: 99%

A Review of Metaheuristic Techniques for Optimal Integration of Electrical Units in Distribution Networks

et al. 2021

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Section: B Swarm-based Algorithmsmentioning

confidence: 99%

A Review of Metaheuristic Techniques for Optimal Integration of Electrical Units in Distribution Networks

et al. 2021

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“…Therefore, penalty function is necessary to favor feasible solutions. Hence the objective function must be replaced by the following function see [23][24][25][26].…”

Section: Inequality Constraintsmentioning

confidence: 99%

Optimum Network Reconfiguration using Grey Wolf Optimizer

et al. 2018

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Distribution system Reconfiguration is the process of changing the topology of the distribution network by opening and closing switches to satisfy a specific objective. It is a complex, combinatorial optimization problem involving a nonlinear objective function and constraints. Grey Wolf Optimizer (GWO) is a recently developed metaheuristic search algorithm inspired by the leadership hierarchy and hunting strategy of grey wolves in nature. The objective of this paper is to determine an optimal network reconfiguration that presents the minimum power losses, considering network constraints, and using GWO algorithm. The proposed algorithm was tested using some standard networks (33 bus, 69 bus, 84 bus and 118 bus), and the obtained results reveal the efficiency and effectiveness of the proposed approach.

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“…To adapt to the market demand and policies for green products, as well as the development needs of producers and sellers, it is urgent to build an efficient and rational logistic distribution network for green supply chain. e slow service and high cost of supply chain logistics mainly come from the lack of information sharing between relevant parties and the conflicts between the inventory of producers and the distribution by distributors [10][11][12][13][14][15][16]. Holjevac et al [17] analyzed the structure and features of the supply chain for engineering machinery producers and built a cooperative game model for the supply chain to optimize both inventory and distribution.…”

Section: Introductionmentioning

confidence: 99%

A Coordinated Optimization Model of the Complex System of the Green Supply Chain Distribution Network

Guan

Aamir

Dayo

et al. 2021

Discrete Dynamics in Nature and Society

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A well-established distribution network is fundamental to the sound management of the green supply chain. To adapt to the market demand and policies for green products, it is urgent to build an efficient and rational logistic distribution network for the green supply chain. Many researchers have tried to design distribution networks through the coordinated optimization of the green supply chain, in the light of realistic situation. However, there are very few optimization models that consider all kinds of influencing factors. To solve the problem, this paper attempts to establish a coordinated optimization model of the complex system of the green supply chain distribution network (GSCDN). Firstly, the authors plotted the structure and game logic of the GSCDN and defined the upper limit of sales induced by the limited production capacity of producers. Secondly, the coordinated optimization conditions were configured for the distributor layer, producer layer, and market demand layer, and a coordinated optimization model was set up for the complex system. Finally, the contractual coordinated optimization mechanism was detailed for the complex system under the profit-sharing contract. The proposed model and solving algorithm were proved valid through experiments.

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Optimal of shunt capacitor placement and size in Algerian distribution network using particle swarm optimization

Cited by 19 publications

References 16 publications

A Review of Metaheuristic Techniques for Optimal Integration of Electrical Units in Distribution Networks

A Review of Metaheuristic Techniques for Optimal Integration of Electrical Units in Distribution Networks

Optimum Network Reconfiguration using Grey Wolf Optimizer

A Coordinated Optimization Model of the Complex System of the Green Supply Chain Distribution Network

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