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    Optimal distributed generation allocation in distribution network using Hereford Ranch algorithm

    , Article ICEMS 2005: 8th International Conference on Electrical Machines and Systems, Nanjing, 27 September 2005 through 29 September 2005 ; Volume 2 , 2005 , Pages 916-918 ; 7506274078 (ISBN); 9787506274074 (ISBN) Gandomkar, M ; Vakilian, M ; Ehsan, M ; Sharif University of Technology
    IEEE Computer Society  2005
    Abstract
    The necessity for flexible electric systems, energy saving, loss reducing and environmental impact are providing Impetus to the development of Distributed Generation (DG). DG Includes the application of small generators, scattered throughout a power system, to provide the electric power needed by electrical customer. Such locally distributed generation, has several merits from the viewpoint of environmental restriction and location limitations, as well as transient and voltage stability In the power system. The exact solution of the DG allocation can be obtained by a complete enumeration of all feasible combinations of sites and sizes of DGs In the network. The number of alternatives could... 

    The Impact of Penetration of Electric Vehicles on Distribution System Planning

    , M.Sc. Thesis Sharif University of Technology Hosseini, Mir Mahdi (Author) ; Ehsan, Mahdi (Supervisor)
    Abstract
    The usage of plugin hybrid electric vehicles has environmental benefits. However, the penetration of these components raises important concerns for grid planning. Thus, it is necessary to model the load change due to their charge to investigate the impact of these vehicles on distribution networks. For this reason, it is necessary to determine the specifications of these vehicles, such as battery charge and energy consumption on daily trips. In addition, the study of some behavioral patterns of these vehicles and some experts are necessary to complete the model.In this thesis, an active distribution network is planned using dynamic programming formulation. In this model, some buses are added... 

    Evaluation of Demand Side Management Programs Using Conservation Screening Curves and its Application in Least Cost Generation Planning

    , M.Sc. Thesis Sharif University of Technology Sajedinia, Ehsan Reza (Author) ; Saboohi, Yadollah (Supervisor)
    Abstract
    Increasing electric energy consumption has necessitated long term planning of power generation based on the concept of least cost planning. Minimization of energy supply and optimization of technology mix had been considered as the main objective functions. But issues on the energy productivity, demand side management, externalities and internalizing external costs have dominated energy scheme which has lead to the development of comprehensive criteria such as Integrated Resource Planning (IRP) and Total Resource Cost (TRC). In these cases it is aimed to develop a comprehensive view of the energy planning that may include the case of DSM and externalities. The objective of the present... 

    Dispositional Essentialism and its Contradiction with Humean Metaphysics

    , M.Sc. Thesis Sharif University of Technology Ghafari, Shahryar (Author) ; Karbasizade, Amir Ehsan (Supervisor)
    Abstract
    In recent decades one neo-Aristotelian school in metaphysics has appeared that with reconstruction on concept of "potency" or "power" try to explain metaphysical problems as: properties ,causation, laws of nature ,modalities and … .this school contradict all classical views in analytic metaphysics ,because they have commitment to Humean metaphysics that all metaphysical categories supervene on distinct particular facts in nature. Dispositional essentialism is one neo-Aristotelian theory saying that some natural properties have dispositional essence. In strong view of this theory, identity of properties supervenes on the structure of a network of properties and therefore properties are... 

    Hume on Causation

    , M.Sc. Thesis Sharif University of Technology Yonesi, Fatemeh (Author) ; Karbasizadeh, Amir Ehsan (Supervisor)
    Abstract
    The Concept of causation plays a major role in Hume’s philosophy and as yet has been debated between philosophers. This Thesis aims to Consider the main part of Hume’s view about Causation, but it also Ventutes into more recent approaches in this subject. In first chapter, we attend to Consider The project of Hume named "Seience of man" and The associative mechanism of causation is expressed. In Second chapter, We turn to three famous interpretations of Hume’s view and the meaning of two definitions of Causation is discussed. In third chapter, we try to analyse the real nature of necessary Connection. According to fourth chapter, we again attend to three interpretations and recognize the... 

    Interruptible Load Management in Simultaneous Energy and Reserve Market

    , M.Sc. Thesis Sharif University of Technology Sahebi, Mir Mohammad Reza (Author) ; Ehsan , Mehdi (Supervisor)
    Abstract
    In restructured power system, the Independent System Operator (ISO) implements Security Constraint Unit Commitment (SCUC) for clearing of day-ahead market. In this project, SCUC is also uses for simultaneous clearing of energy and reserve market. Spinning reserve and of generating units and Interruptible Loads (IL) are considered as system operating reserves in the proposed model. Some of IL usage restrictions such as maximum load curtailed, maximum curtailment hour in a day, maximum length of each curtailment and etc is also considered. One of these constraints is interruption time (the time between ISO’s request and IL’s Answer) which is very difficult to formulate. Expected Energy Not... 

    Risk-based bidding of large electric utilities using Information Gap Decision Theory considering demand response

    , Article Electric Power Systems Research ; Vol. 114, issue , September , 2014 , p. 86-92 Kazemi, M ; Mohammadi-Ivatloo, B ; Ehsan, M ; Sharif University of Technology
    2014
    Abstract
    The present study presents a new risk-constrained bidding strategy formulation of large electric utilities in, presence of demand response programs. The considered electric utility consists of generation facilities, along with a retailer part, which is responsible for supplying associated demands. The total profit of utility comes from participating in day-ahead energy markets and selling energy to corresponding consumers via retailer part. Different uncertainties, such as market price, affect the profit of the utility. Therefore, here, attempts are made to make use of Information Gap Decision Theory (IGDT) to obtain a robust scheduling method against the unfavorable deviations of the market... 

    Distribution loss allocation for radial systems including dgs

    , Article IEEE Transactions on Power Delivery ; Vol. 29, issue. 1 , 2014 , pp. 72-80 ; ISSN: 08858977 Ghofrani-Jahromi, Z ; Mahmoodzadeh, Z ; Ehsan, M ; Sharif University of Technology
    2014
    Abstract
    Due to the liberalization of the electricity market and the introduction of distributed generation (DG), the importance of distribution loss allocation (LA) has increased. This paper presents a new method for distribution power LA in radial systems. The proposed method, which is based on the results of power flow and considers active and reactive power flows of lines for LA, is composed of three steps. In the first step, starting from the source nodes (i.e., the nodes whose generation is more than their load), the power loss allocated to all nodes is calculated and then the power loss allocated to the loads connected to each node is obtained. In the next step, the total power loss is... 

    IGDT based risk-constrained strategic bidding of GenCos considering bilateral contracts

    , Article 2013 21st Iranian Conference on Electrical Engineering, ICEE 2013 ; 2013 ; 9781467356343 (ISBN) Kazemi, M ; Mohammadi Ivatloo, B ; Ehsan, M ; Sharif University of Technology
    2013
    Abstract
    A new risk-constrained bidding curve construction method is presented in this paper. A Day-ahead energy market has been chosen for competition of GenCos and the Information Gap Decision Theory (IGDT) is used for modelling the Day-ahead market price uncertainty and its corresponding risk. The bilateral contracts of the GenCo are also considered in the proposed framework. A Bi-level optimization problem is incorporated in the proposed method to guarantee a pre-specified level of revenue. The proposed IGDT based method constructs the non-decreasing bidding curve while dispatching units based on the uncertain forecasted prices of the next-day market. The verification of the proposed method is... 

    Time-varying acceleration coefficients IPSO for solving dynamic economic dispatch with non-smooth cost function

    , Article Energy Conversion and Management ; Volume 56 , 2012 , Pages 175-183 ; 01968904 (ISSN) Mohammadi Ivatloo, B ; Rabiee, A ; Ehsan, M ; Sharif University of Technology
    2012
    Abstract
    The objective of the dynamic economic dispatch (DED) problem is to schedule power generation for the online units for a given time horizon economically, satisfying various operational constraints. Due to the effect of valve-point effects and prohibited operating zones (POZs) in the generating units cost functions, DED problem is a highly non-linear and non-convex optimization problem. The DED problem even may be more complicated if transmission losses and ramp-rate constraints are taken into account. This paper presents a novel and heuristic algorithm to solve DED problem of generating units, by employing time varying acceleration coefficients iteration particle swarm optimization... 

    Discussion of "hybrid differential evolution with biogeography-based optimization for solution of economic load dispatch"

    , Article IEEE Transactions on Power Systems ; Volume 27, Issue 1 , 2012 , Pages 574- ; 08858950 (ISSN) Rabiee, A ; Mohammadi Ivatloo, B ; Ehsan, M ; Sharif University of Technology
    2012

    Discussion of a "hybrid interior point assisted differential evolution algorithm for economic dispatch"

    , Article IEEE Transactions on Power Systems ; Volume 27, Issue 2 , 2012 , Pages 1142-1143 ; 08858950 (ISSN) Rabiee, A ; Mohammadi Ivatloo, B ; Ehsan, M ; Sharif University of Technology
    2012

    Risk-constrained strategic bidding of GenCos considering demand response

    , Article IEEE Transactions on Power Systems ; Volume 30, Issue 1 , June , 2015 , Pages 376-384 ; 08858950 (ISSN) Kazemi, M ; Mohammadi Ivatloo, B ; Ehsan, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    This paper presented a combined scheduling and bidding algorithm for constructing the bidding curve of an electric utility that participated in the day-ahead energy markets. Day-ahead market price uncertainty was modeled using non-probabilistic information gap decision theory (IGDT). The considered utility consisted of generation units and a retailer part; the retailer part of the utility and its demand response program (DRP) could affect the utility's profit, which should be considered in the bidding strategy problem. The bidding strategy algorithm proposed in this paper dispatched units by optimizing the demand response programs of the retailer part. In addition, non-decreasing bidding... 

    Transmission loss allocation via loss function decomposition and current projection concept

    , Article World Academy of Science, Engineering and Technology ; Volume 62 , 2010 , Pages 675-678 ; 2010376X (ISSN) Ebrahimi, M. R ; Ghofrani, Z ; Ehsan, M ; Sharif University of Technology
    2010
    Abstract
    One of the major problems in liberalized power markets is loss allocation. In this paper, a different method for allocating transmission losses to pool market participants is proposed. The proposed method is fundamentally based on decomposition of loss function and current projection concept. The method has been implemented and tested on several networks and one sample summarized in the paper. The results show that the method is comprehensive and fair to allocating the energy losses of a power market to its participants  

    A risk-constrained decision support tool for EV aggregators participating in energy and frequency regulation markets

    , Article Electric Power Systems Research ; Volume 185 , August , 2020 Habibifar, R ; Aris Lekvan, A ; Ehsan, M ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    The growing trend of electric vehicles (EVs) in recent years has led to the emergence of EV aggregators in electricity markets. Generally, the main goal of an EV aggregator is to buy electricity from the wholesale market in a cost-effective manner while satisfying the charging requirements of EV owners. Accordingly, this paper presents a decision support tool for EV aggregators which enables them to determine the optimal bidding strategy to effectively participate in the day-ahead and real-time energy, and frequency regulation markets. Indeed, the aggregator mainly obtains profit by selling energy during the high-price hours (via vehicle-to-grid (V2G) capability) and providing primary... 

    Developing a multi-objective framework for expansion planning studies of distributed energy storage systems (DESSs)

    , Article Energy ; Volume 157 , 2018 , Pages 1079-1089 ; 03605442 (ISSN) Saber, H ; Moeini Aghtaie, M ; Ehsan, M ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    This paper presents a framework for expansion planning studies of distributed energy storage systems (DESSs) in high wind penetrated power systems. The main objective is to find optimal location and capacity of DESSs in the viewpoint of independent system operator (ISO) while ensuring the maximum usage of wind farms output generation. Three different criteria are introduced for expansion planning studies. Minimizing wind curtailment cost together with transmission congestion cost are considered to properly deal with the issues associated with the curtailment of wind energy and constraints of transmission network. Furthermore, the minimum normalized profit for all DESSs' owners needs to be... 

    Facilitating the Use of Photovoltaic Renewable Energy Sources Using Demand Response Taking into Account Uncertainty in Real Time Market Prices

    , M.Sc. Thesis Sharif University of Technology Nikbakht Dastjerdi, Mohammad (Author) ; Ehsan, Mehdi (Supervisor)
    Abstract
    With the expansion of the use of renewable photovoltaic sources in electricity generation, the problem of uncertainty in predicting the production capacity of these sources has become one of the most important challenges of power networks due to dependence on climatic conditions, which is a random and uncertain phenomenon. Eliminating or reducing the stated problem requires economic policies that hold the producers of these resources accountable for deviating from the promised products in the day-ahead market. This thesis, the first place, proposes a fuzzy-neural prediction method with minimal input information considering the speed and accuracy of the prediction, which reduces the... 

    Simultaneous congestion management and cost allocation in a short-run market model

    , Article Iranian Journal of Science and Technology, Transaction B: Engineering ; Volume 31, Issue 6 , December , 2007 , Pages 617-628 ; 10286284 (ISSN) Fatahi Meyabadi, A ; Barati, H ; Ehsan, M ; Sharif University of Technology
    2007
    Abstract
    This paper proposes a simultaneous approach to manage congestion, evaluate congestion cost, and to allocate this cost among consumers in a short-run market model. The proposed method consists of an iterative algorithm to search and apply a sequence of the best feasible bilateral power exchange among the generators that would optimally reduce and completely remove the congestion. The best exchanges are selected using sensitivity analysis and the AC load flow is used to apply the selected exchange on the system. Congestion cost is calculated using the change in generation cost and divided among the overloaded lines regarding the change in power flow of these lines, after applying the selected... 

    Power system stability improvement using self-tuning fuzzy logic controlled STATCOM

    , Article EUROCON 2007 - The International Conference on Computer as a Tool, Warsaw, 9 September 2007 through 12 September 2007 ; December , 2007 , Pages 1444-1449 ; 142440813X (ISBN); 9781424408139 (ISBN) Ghafouri, A ; Zolghadri, M. R ; Ehsan, M ; Sharif University of Technology
    2007
    Abstract
    This paper presents the application of a fuzzy logic controlled Static Compensator (STATCOM) to improve stability of power system. The nonlinear fuzzy logic controller is used to overcome the problems generated by different uncertainties exist in power systems. Different input variables are used to design the controller. Parameters of the proposed controller are adjusted by means of Neural Network techniques to improve performance of the system. Proposed controller is implemented on a single machine infinite bus system to confirm the performance of the controller through simulation results  

    Turn-to-Turn Fault Detection in Power Transformers in the Presence of Inrush Current

    , M.Sc. Thesis Sharif University of Technology Fallah Mollamahmod, Mahdi (Author) ; Hajipour, Ehsan (Supervisor)
    Abstract
    One of the most critical equipments in power grids are power transformers, which are vulnerable to damage due to the possibility of faults in its various components. A very common category of such faults is turn-to-turn fault in its winding. This fault initiates by the aging of the winding insulation with a short circuit of several adjacent loops to each other and if it is not detected quickly by the transformer protection, it will spread rapidly and can lead to irreparable failure in the transformer. Traditionally, turn-to-turn fault should be detected by mechanical pressure relays, however, due to the poor performance of these relays in the rapid detection of this type of fault, in the...