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  • 1.
    Gholinejad, Hassan
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Mousavi Takami, Kourosh
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Dahlquist, Erik
    Mälardalen University, School of Sustainable Development of Society and Technology. Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Estimation of electricity losses by numerical approach to present a solution for losses reduction2014In: International Journal of Advanced Engineering Applications, ISSN 2321-7723, Vol. 7, no 4, p. 30-40Article in journal (Refereed)
    Abstract [en]

    Electricity losses are one of the big anxieties for utilities. Electricity loss in Iran network according to Tavanir report is over 15% but individual researchers have different comments. Also, the lack of sufficient information is a network problem. To overcome on the problems authors used Top-Down/Bottom-Up method to estimate of losses in Iran’s electricity network. To achieve the model, at a certain moment measurements of input complex power in the feeder and voltages in the farthest network node and power flow calculation has been done. Using the estimated losses, authors suggest a strategy to losses reduction in every different part of distribution networks. Due to different culture, climate and network topology, losses are different and separate solution is needed. Proposed method was carried out by performing tests on a feeder with 88+35 nodes according to the IEEE 123 node test feeder. An economical investigation showed the benefits for utilities and improved the proposed plan. The main innovation in the presented paper is to combine a forecasting approach with experimental data to define a model for networks with unknown parameters.

  • 2.
    Gholinejad, Hassan
    et al.
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Mousavi Takami, Kourosh
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Mousavi Takami, Amin
    Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    Dahlquist, Erik
    Mälardalen University, School of Sustainable Development of Society and Technology. Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
    To promote electricity smart grid performances by numerical modeling applications2014In: Proceedings of the 55th Conference on Simulation and Modelling(SIMS 55): “Modelling, Simulation and Optimization” / [ed] Alireza Rezania Kolai, Kim Sørensen & Mads Pagh Nielsen, Linköping: Linköping University Electronic Press, 2014, p. 347-355Conference paper (Refereed)
    Abstract [en]

    Wide world’s utilities are generating, transmitting and distributing of electricity throughout the country andare responsible to its quality.Distributed automated distribution system has been proposed for planning to reduce losses, optimize capacityand load balancing in electricity networks. The world electricity average loss is about and outage percustomer time is about min/ year. The indices are needed to optimize in developing countries.This paper deals on a modeled distribution system in Sari distribution region and evaluates three mentionedparameters on network quality. Restoration, maneuvers to achieve the minimum loss, reactive powercontrolling, load balancing etc are investigated.Modeling performs by MATLAB software, EMTP for transient modeling and Digsilent with real data bySari Distribution Company. In this paper, a new approach by rearrangement aimed at reducing losses andimproving of load balancing in distribution networks was presented.

    Keywords: Modelling, smart grid, electricity network

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