Investigation on Impacts of Alternative Generation Siting in Power Grids from the View of Complex Network Theory

Due to the increasing realisation of improving the utility of energy and reducing pollutant emissions, the electric vehicle has been a hot topic in electrical engineering courses. However, it is the scale evolution of electric vehicles that is the basis for investigating their impacts on the power grid. This paper presents the main steps of designing an educational tool based on system dynamic approach to understanding the electric vehicles evolution and arouses their interests in the course named Electric Vehicle and Smart Grid. This tool is a work done by a team of students based on theory and survey, calculating the size of electric vehicles. The effectiveness of this tool is verified by the case studies in this paper, including the scale evolution, analysing the influence factors and stimulating students’ interests. In addition, this tool has been used in teaching to demonstrate the scale evolution intuitively, thus achieving better teaching.

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“…Under the survey results, the linguistic weight decision method is used to calculate the weight of each factor 7 , which is listed in Table 2.…”

Section: Quantitative Relationship Extraction From Surveysmentioning

confidence: 99%

“…The collection data is summarised in Table 1, which shows many factors that affect EV purchasing ratio to a different degree. Under the survey results, the linguistic weight decision method is used to calculate the weight of each factor 7 , which is listed in Table 2.…”

Section: Quantitative Relationship Extraction From Surveysmentioning

confidence: 99%

Application of system dynamics approach in scale evolution of electric vehicles for education

Yang

Xiang

Lin

et al. 2019

The International Journal of Electrical Engineering & Educa

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“…Although the two kinds of methods have their own advantages, time consumption inevitably increases significantly when the system becomes more complicated and complex. [11][12][13] In the past decades, a rapid development of complex network theory [14][15][16][17] provides an alternative to retackle this difficult issue, in which the topological modeling of network becomes quite popular. Particularly, the main characteristics of networks is generally determined by five parameters, ie, the average distance, clustering coefficient, average degree, regularities of node degree distribution, and regularities of node betweenness distribution.…”

Section: Introductionmentioning

confidence: 99%

“…Rank the six singular values A in a descending order and delete the last three values. Then reconstruct the matrix according to Equation(15) with k = 3. The reconstructed matrix becomes…”

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confidence: 99%

A study of reliability assessment and topology similarity: Methodology, relationship, and applications

Tang

et al. 2019

Int Trans Electr Energ Syst

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Summary This paper attempts to investigate the relationship between topology and reliability of a distribution network associated with a singular value sequence (SVS) to accurately represent the crucial features of the distribution network topology, in which a novel algorithm called topology similarity analysis (TSA) is proposed for the first time and adopted to calculate the reliability indices of the distribution networks. Under such framework, SVS is treated as a similarity index that constructs a standard database of distribution network topology. Moreover, TSA outperforms other typical algorithms used in distribution network reliability assessment with a lower calculation costs and higher efficiency. Two case studies, eg, standard IEEE 33‐bus system and large‐scale practical 148‐bus system, are carried out at first to evaluate the effectiveness of the proposed approach. Then, TSA incorporated with splitting method is applied in the 148‐bus case. Simulation results demonstrate that TSA is 2 to 2000 times faster than that of other typical algorithms. Besides, the overall calculation time of TSA just grows insignificantly as the scale of the distribution network increases, together with a guaranteed less than 0.005% precision error.

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Scale Development Simulation for Electric Vehicles

et al. 2017

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Investigation on Impacts of Alternative Generation Siting in Power Grids from the View of Complex Network Theory

Cited by 5 publications

References 17 publications

Application of system dynamics approach in scale evolution of electric vehicles for education

Application of system dynamics approach in scale evolution of electric vehicles for education

A study of reliability assessment and topology similarity: Methodology, relationship, and applications

Scale Development Simulation for Electric Vehicles

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