Distribution Systems Reconfiguration Using the Hyper-Cube Ant Colony Optimization Algorithm

Abdelaziz, Almoataz Y.; Osama, Reham A.; Elkhodary, Salem M.; Panigrahi, Bijaya Ketan

doi:10.1007/978-3-642-27242-4_30

Cited by 10 publications

(8 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The total cost C j and total time T j of j-1 lines are calculated by path calculation formula (12) and formula (13).Walking path length of ant d all is calculated by weighted function formula (15). To consider effect from both financial cost and time, weight factor δ is introduce to calculate the comprehensive overall cost of the path.…”

Section: ) Vdu Allocation Methods Statementmentioning

confidence: 99%

See 1 more Smart Citation

Design Task Modeling and Task Allocation Method Research Based Multi-granularity Space in Distributed Network Environment

Cao¹,

Xu²,

Hu³

2013

Advances in Intelligent Systems Research

View full text Add to dashboard Cite

Abstract-To realize reasonable design task modeling and high efficiency task collaboration and allocation in complicated design process, a design task model based granular space is proposed, and cross-stage collaboration mode and task allocation method are discussed. Firstly, combining study results of Collaboration design and Cloud Manufacturing (CMfg), four dimension granular space of design task is defined and a general design task model is built. Secondly, cross-stage collaboration mode based task in distributed network environment is proposed. And then, design task allocation methods on both cross-stage synergy and single stage synergy are introduced. Finally, application prototype system is illustrated. Application results show that deign task model and task allocation in the multi-task collaboration mode are feasible.

show abstract

Section: ) Vdu Allocation Methods Statementmentioning

confidence: 99%

“…The third phase includes task execution and task control. In the second phase, the ultimate goal of tasks scheduling is to make sure that proper tasks number of different design task types are executed by the VDUs at the right time and low cost [12].…”

Section: B Design Tasks Allocation In Single Design Stagementioning

confidence: 99%

Design Task Modeling and Task Allocation Method Research Based Multi-granularity Space in Distributed Network Environment

Cao¹,

Xu²,

Hu³

2013

Advances in Intelligent Systems Research

View full text Add to dashboard Cite

show abstract

“…There are many problems that require discrete search spaces [62][63][64]. While investigating these techniques, we found many names.…”

Section: Discretization Of Continuous Metaheuristicsmentioning

confidence: 99%

“…There are multiple problems that use this method, for example, optimization of transport aircraft wing [64], task assignment problem [62], and distribution systems reconfiguration [63]. The main metaheuristics that use the roundoff method are ant colony [63], PSO [62,64,65], firefly [66], and artificial bee colony [66,67]. The disadvantages of this method include the possibility that the solution is in a nonfeasible region.…”

Section: Rounding Off Genericmentioning

confidence: 99%

Putting Continuous Metaheuristics to Work in Binary Search Spaces

et al. 2017

View full text Add to dashboard Cite

show abstract

“…They are usually fast but may not achieve the optimal configuration. Therefore, metaheuristic algorithms such as hyper-cube ant colony optimization [8], bacterial foraging optimization algorithm [9], particles swarm optimization [10], artificial immune systems [11], adaptive imperialist competitive algorithm [12], and genetic algorithms [13] have been gradually applied for reconfiguration to reduce the network loss. Metaheuristic optimization methods can solve the reconfiguration problem without any or fewer restrictions on the shape of the cost function curves due to their ability to seek the global optimal solution.…”

Section: Introductionmentioning

confidence: 99%

New Reconfiguration Method for Improving Voltage Profile of Distribution Networks

Vizhiy¹,

Santhi²

2016

IJCA

View full text Add to dashboard Cite

Network reconfiguration aims to minimize network real power loss through rearranging the status of open switches. The consumers of the distribution networks need a better voltage profile for efficient operation of various gadgets. This paper thus attempts to develop a new reconfiguration algorithm with an objective of improving the voltage profile of the distribution network without incurring any additional cost for installation of capacitors and tap-changing transformers. The algorithm uses a nature-inspired biogeography based optimization (BBO) that searches for optimal solution through the migration and mutation operators. Test results on a 33 and 69-node distribution networks reveal the superiority of the developed method. General TermsOptimization, evolutionary algorithms

show abstract

Distribution Systems Reconfiguration Using the Hyper-Cube Ant Colony Optimization Algorithm

Cited by 10 publications

References 15 publications

Design Task Modeling and Task Allocation Method Research Based Multi-granularity Space in Distributed Network Environment

Design Task Modeling and Task Allocation Method Research Based Multi-granularity Space in Distributed Network Environment

Putting Continuous Metaheuristics to Work in Binary Search Spaces

New Reconfiguration Method for Improving Voltage Profile of Distribution Networks

Contact Info

Product

Resources

About