Community detection in national-scale high voltage transmission networks using genetic algorithms

Guerrero, Manuel; Montoya, Francisco G.; Baños, Raúl; Alcayde, Alfredo; Gil, C.

doi:10.1016/j.aei.2018.07.001

Cited by 35 publications

(17 citation statements)

References 38 publications

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“…Evolutionary algorithms have shown to be efficient methods, and are probably the most commonly used since they are problem-solving procedures that include evolutionary processes as the key design elements, such that a population of individuals is continually and selectively evolved until a termination criteria is fulfilled. Genetic algorithms (GAs) [12] are possibly the most widely used evolutionary techniques for solving a large variety of problems in the field of electrical systems [13,14]. As it can be seen in Figure 3, a genetic algorithm mimics natural selection by evolving over time a population of individual solutions to the problem at hand until a termination condition is fulfilled and the best individual is returned as result of the algorithm.…”

Section: Solution Methodsmentioning

confidence: 99%

Optimization of the Contracted Electric Power by Means of Genetic Algorithms

2019

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An adequate selection of an energy provider and tariff requires us to analyze the differentalternatives to choose one that satisfies your needs. In particular, choosing the right electricity tariff isessential for reducing company costs and improving competitiveness. This paper analyzes the energyconsumption of large consumers that make intensive use of electricity and proposes the use of geneticalgorithms for optimizing the tariff selection. The aim is to minimize electricity costs including twofactors: the cost of power contracted and the heavy penalties for excess of power demand over thepower contracted in certain time periods. In order to validate the proposed methodology, a casestudy based on the real data of energy consumption of a large Spanish university is presented. Theresults obtained show that the genetic algorithm and other bio-inspired approaches are able to reducethe costs associated to the electricity bill.

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Section: Solution Methodsmentioning

confidence: 99%

Optimization of the Contracted Electric Power by Means of Genetic Algorithms

2019

Self Cite

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“…GA is a typical evolutionary algorithm and has strong adaptability and global optimization capabilities. It has been successfully employed to solve many optimization problems in the field of the power systems, such as unit commitment, reactive power optimization, and transmission network expansion planning [29]- [31]. The characteristics of the joint planning model of the EVCSs and DPVSs are similar to those of unit commitment, reactive power optimization, and transmission network expansion planning.…”

Section: Solution Of the Joint Planning Model Of The Evcss And Dpvssmentioning

confidence: 99%

“…The kernel of GA is to evaluate each chromosome in the population by means of fitness calculations [29]- [31]. The calculations of chromosome fitness are detailed as follow:…”

Section: B Fitness Calculationmentioning

confidence: 99%

Joint Planning of Distributed PV Stations and EV Charging Stations in the Distribution Systems Based on Chance-Constrained Programming

Zhang

et al. 2021

IEEE Access

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“…In this paper, urban distance refers to the topological distance of the cities in the network and not the geographical distance between cities. The calculation of topological distance considers the intensity of the connection, which has been validated in the community detections of many other networks [50,51]. In other words, the higher the degree of linkages, the smaller the topological distance between that pair of cities will be.…”

Section: Community Detection For Railway Networkmentioning

confidence: 99%

Exploring the Hierarchical Structure of China’s Railway Network from 2008 to 2017

Huang

Zhao

et al. 2018

Sustainability

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The analysis of transport networks is an important component of urban and regional development and planning. Based on the four main stages of China’s railway development from 2008 to 2017, this paper analyzes the hierarchical and spatial heterogeneity distribution of train flows. We found a high degree of spatial matching with the distribution of China’s main railway corridors. Then, using a classical community detection algorithm, this paper attempts to describe the functional structure and regional effects of China’s railway network. We also explore the impacts of construction policies and changes to train operations on the spatial organizing pattern and evolution of network hierarchies. The results of this empirical study reveal a clear pattern of independent communities, which in turn indicates the existence of a hierarchical structure in China’s railway network. The decreases in both the number of communities and average distance between community centers indicate that the newer high-speed rail services have shortened the connections between cities. In addition, the detected communities are inconsistent with China’s actual administrative divisions in terms of quantity and boundaries. The spatial spillover and segmentation effects cause the railway network in different regions to be self-contained. Finally, the detected communities in each stage can be divided into the categories of monocentric structure, dual-nuclei structure, and polycentric structure according to the number of extracted hubs. The polycentric structure is the dominant mode, which shows that the railway network has significant spatial dependence and a diversified spatial organization mode. This study has great significance for policymakers seeking to guide the future construction of high-speed rail lines and optimize national or regional railway networks.

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Community detection in national-scale high voltage transmission networks using genetic algorithms

Cited by 35 publications

References 38 publications

Optimization of the Contracted Electric Power by Means of Genetic Algorithms

Optimization of the Contracted Electric Power by Means of Genetic Algorithms

Joint Planning of Distributed PV Stations and EV Charging Stations in the Distribution Systems Based on Chance-Constrained Programming

Exploring the Hierarchical Structure of China’s Railway Network from 2008 to 2017

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