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    Determination of Maximum and Optimal Penetration Level of Distributed Generation in Distributed Systems

    , M.Sc. Thesis Sharif University of Technology Seydali Seyf Abad, Mohammad (Author) ; Parniani, Mostafa (Supervisor)
    Abstract
    Nowadays, development of renewable electricity generation technologies, the advent of small efficient generators and increasing number of grid-connected consumers, have caused increasing interest in energy production next to the consumers locations. Distributed generation (DG) is often defined as small-scale generators that produce several kilowatts to tens of megawatts of electricity. One primary reason for using DG is its potential to reduce power losses in transmission and distribution networks. Several loss reduction methods such as capacitor placement, network reconfiguration and load management are used in distribution systems. Employing DG results in the highest loss reduction and... 

    Evaluation of intelligent distribution network response to plug-in hybrid electric vehicles

    , Article 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013 ; June , 2013 ; 9781467356695 (ISBN) Sheikhi, A ; Maani, A ; Ranjbar, A. M ; Sharif University of Technology
    2013
    Abstract
    Plug-in Hybrid Electric Vehicles (PHEV) have the potential to limit emissions and reduce the cost of transportation. Although wide scale adoption of plug-in vehicles is still a few years away, politicians, electric utilities, and auto companies are eagerly awaiting the opportunities that may arise from reduction of emissions and gasoline and oil consumption, new services and increased revenues, and new markets that would create new jobs. For consumers, plug-in vehicles will significantly lower operational costs when compared with traditional gasoline cars. The savings are potentially high, in average, as electricity cost mile work out to about one forth of gasoline. But it is noticeable to... 

    Participation of DFIG based Wind Turbines in Power System Frequency Response Improvement

    , Ph.D. Dissertation Sharif University of Technology Ashourizadeh, Alireza (Author) ; Ranjbar, Ali Mohammad (Supervisor)
    Abstract
    Fast improvements in the wind turbine technologies as well as the growing concern over sustainable power supply have led to the proliferation of wind energy. The upward trend in installed wind capacity is evident from the fact more than 120 GW of wind turbine capacity has been installed globally in 2018-2019, resulting in 591 GW of globally available wind capacity. The high penetration of renewable resources such as wind-turbine generators can cause inevitable changes in the dynamic behavior of power grids, especially in the frequency stability. Accordingly, it is imperative to perform comprehensive studies about the impacts of wind power on the power system frequency. Increasing wind... 

    Neuro-fuzzy islanding detection in distributed generation

    , Article 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2012, 21 May 2012 through 24 May 2012 ; May , 2012 ; 9781467312219 (ISBN) Bitaraf, H ; Sheikholeslamzadeh, M ; Ranjbar, A. M ; Mozafari, B ; Sharif University of Technology
    2012
    Abstract
    Islanding detection methods are divided into three main groups as remote, active and passive. Although passive schemes have larger Non Detection Zones (NDZ) relative to other schemes, they are more used in utilities due to their low costs and less PQ problems than other schemes. Passive Schemes are based on the measurements of passive system parameters. These parameters are measured at the point of common coupling (PCC). A new approach in passive techniques is the use of data-mining to classify the system parameters. In this paper, massive indices are collected by simulation of a practical distribution system in PSCAD/EMTP environment. These indices include voltage, frequency, current,... 

    A novel SVM approach of islanding detection in micro grid

    , Article 2012 IEEE Innovative Smart Grid Technologies - Asia, ISGT Asia 2012, 21 May 2012 through 24 May 2012 ; May , 2012 ; 9781467312219 (ISBN) Bitaraf, H ; Sheikholeslamzadeh, M ; Ranjbar, A. M ; Mozafari, B ; Sharif University of Technology
    2012
    Abstract
    Passive islanding detection schemes are more used in utilities due to their low costs and less harmonic problems although having larger Non Detection Zones (NDZ) relative to other schemes. Passive system measurements at the point of common coupling (PCC) are the basis of this scheme. A new approach in passive techniques is the use of intelligent based methods in data-mining to classify the system parameters which affect the islanding detection. As a result, by finding an efficient and robust data-mining algorithm, the passive schemes problem, which is their relatively large NDZ, will be minimized. In this paper, massive measurements are collected by simulation of IEEE standard distribution... 

    A combination of MADM and genetic algorithm for optimal DG allocation in power systems

    , Article 42nd International Universities Power Engineering Conference, UPEC 2007, Brighton, 4 September 2007 through 6 September 2007 ; 2007 , Pages 1031-1035 ; 1905593368 (ISBN); 9781905593361 (ISBN) Kamalinia, S ; Afsharnia, S ; Khodayar, M. E ; Rahimikian, A ; Sharbafi, M. A ; Sharif University of Technology
    2007
    Abstract
    Distributed Generation (DG) can help in reducing the cost of electricity to the customer, relieve network congestion, provide environmentally friendly energy close to load centers as well as promote system technical characteristics such as loss reduction, voltage profile enhancement, reserve mitigation and many other factors. Furthermore, its capacity is also scalable and it can provide voltage support at distribution level. The planning studies include penetration level and placement evaluation which are influenced directly by DG type. Most of the previous publications in this field chose one or two preferred parameter as basic objective and implement the optimizations in systems. But due...