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Open AccessArticle

On the Determination of Meshed Distribution Networks Operational Points after Reinforcement

1
Department of Electrical and Electronic Engineering Educators, A.S.PE.T.E.—School of Pedagogical and Technological Education, Ν. Ηeraklion, 141 21 Athens, Greece
2
Faculty of Electrical Engineering, University Politehnica of Bucharest, Spaiul independentei 313, RO-060042 Bucharest, Romania
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(17), 3501; https://doi.org/10.3390/app9173501
Received: 25 July 2019 / Revised: 12 August 2019 / Accepted: 22 August 2019 / Published: 25 August 2019
(This article belongs to the Special Issue Implementation of Vehicular Cloud Networks Using Wireless Sensor)
This paper proposes a calculation algorithm that creates operational points and evaluates the performance of distribution lines after reinforcement. The operational points of the line are probabilistically determined using Monte Carlo simulation for several objective functions for a given line. It is assumed that minimum voltage at all nodes has to be balanced to the maximum load served under variable distributed generation production, and to the energy produced from the intermittent renewables. The calculated maximum load, which is higher than the current load, is expected to cover the expected needs for electric vehicles charging. Following the proposed operational patterns, it is possible to have always maximum line capacity. This method is able to offer several benefits. It facilitates of network planning and the estimation of network robustness. It can be used as a tool for network planners, operators and large users. It applies to any type of network including radial and meshed. View Full-Text
Keywords: distribution networks; meshed systems; reinforcement; power flow distribution networks; meshed systems; reinforcement; power flow
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Vita, V.; Lazarou, S.; Christodoulou, C.A.; Seritan, G. On the Determination of Meshed Distribution Networks Operational Points after Reinforcement. Appl. Sci. 2019, 9, 3501.

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