Loading...
Search for: barani--ehsan
0.124 seconds

    Technical and Economic Aspects of Operating of Distribution Systems in Presence of Distributed Generation Considering the Uncertainties

    , M.Sc. Thesis Sharif University of Technology Abbaskhani Davanloo, Arash (Author) ; Ehsan, Mehdi (Supervisor)
    Abstract
    As electric energy loss in Iran is around 31 percent and 01 percent of this loss is related to the distribution of electric energy, management and operation of distribution network is of high importance. There are different ways for operating the distribution network while decreasing the loss, such as using capacitors, tap changers, energy storing devices, distributed generations, etc. One of the most common ways is to use Network Reconfiguration. In this thesis, daily reconfiguration of a 03-kV 22-bus distribution network is investigated. The objective function consists of cost of energy loss and improvement of voltage profile. Wind turbines are used as the sources of distributed generation... 

    System modeling and optimization for islanded micro-grid using multi-cross learning-based chaotic differential evolution algorithm

    , Article International Journal of Electrical Power and Energy Systems ; Vol. 56 , 2014 , pp. 349-360 ; ISSN: 01420615 Hemmati, M ; Amjady, N ; Ehsan, M ; Sharif University of Technology
    2014
    Abstract
    This paper presents a comprehensive operation model for micro-grids (MG) operating in the islanded mode. Various energy sources of a MG including diesel engine generator, micro-turbine, wind turbine and photovoltaic cell as well as battery storage and AC/DC rectifier/inverter are modeled in the proposed framework. Fuel costs, emission costs, and operation and maintenance (O&M) costs of these sources as well as their operating limits and characteristics are considered in the model. Furthermore, a new multi-cross learning-based chaotic differential evolution (MLCDE) algorithm is presented to solve the optimization problem of MG operation. The numerical results obtained from the proposed... 

    Maintenance Planning at Generation by GENCO & ISO in Restructured Power System

    , M.Sc. Thesis Sharif University of Technology Farmahini Farahani, Ehsan (Author) ; Ehsan , Mehdi (Supervisor)
    Abstract
    In a centralized power system, the system operator, derives a maintenance scheduling plan that maximizing reliability of system and minimizing operating cost. But in a restructured power system the goals of GENCOs and independent system operator (ISO) are separate and each of them optimize its own goal. The goal of each GENCO is to maximize its annual benefits and the goal of ISO is to maximize the reliability of system throughout the year. Therefore there are two objective functions for finding an optimum maintenance schedule in restructured power system. This thesis proposes a new method for maintenance scheduling of generation units in a restructured power system. Firstly each GENCO... 

    Stochastic Model for Optimal Participation of Wind Power Producers in Electricity Market Considering Risk Factors

    , M.Sc. Thesis Sharif University of Technology Shamsi Gushki, Amin (Author) ; Ehsan, Mehdi (Supervisor)
    Abstract
    This thesis presents a new method for scheduling wind generation companies to participate in day-ahead market. The assumed market structure of this thesis, considers day-ahead energy market and balancing market, simultaneously. The stochastic model of this, implements a robust function to face the uncertainties of these markets. The risk of participation in these market are controlled with Information Gap Decision Theory (IGDT). Finally the allowable percent of each uncertain parameters are introduced to met an specific level of profit for the company  

    A probabilistic modeling of photo voltaic modules and wind power generation impact on distribution networks

    , Article IEEE Systems Journal ; Volume 6, Issue 2 , 2012 , Pages 254-259 ; 19328184 (ISSN) Soroudi, A ; Aien, M ; Ehsan, M ; Sharif University of Technology
    2012
    Abstract
    The rapid growth in use of renewable intermittent energy resources, like wind turbines (WTs) and solar panels, in distribution networks has increased the need for having an accurate and efficient method of handling the uncertainties associated with these technologies. In this paper, the unsymmetrical two point estimate method (US2PEM) is used to handle the uncertainties of renewable energy resources. The uncertainty of intermittent generation of WT, photo voltaic cells, and also electric loads, as input variables, are taken into account. The variation of active losses and imported power from the main grid are defined as output variables. The US2PEM is compared to symmetrical two point... 

    Cooperative energy management of hybrid DC renewable grid using decentralized control strategies

    , Article Energies ; Volume 9, Issue 11 , 2016 ; 19961073 (ISSN) Beykverdi, M ; Jalilvand, A ; Ehsan, M ; Sharif University of Technology
    MDPI AG  2016
    Abstract
    This paper attempted to control a hybrid DC microgrid in islanded operation mode using decentralized power management strategies. Proposed adaptive I/V characteristic for hybrid photovoltaic (PV) and battery energy storage system (BESS) and wind turbine generator (WTG) adapts the distributed energy resources (DER) behavior independently in accordance with the load demand. Hence, the PV module can spend its maximum power on load demand and spend the extra power for charging the BESS, which will regulate DC bus voltage and maintain the power balance within the microgrid. When load demand is beyond the maximum generation power of PV unit, WTG will supply the energy shortage. The proposed... 

    Security constrained unit commitment with flexibility in natural gas transmission delivery

    , Article Journal of Natural Gas Science and Engineering ; Volume 27, Part 2 , November 2015 , 2015 , Pages 632–640 ; 18755100 (ISSN) Badakhshan, S ; Kazemi, M ; Ehsan, M ; Sharif University of Technology
    Elsevier  2015
    Abstract
    This paper presents a formulation of fuzzy optimization for uncertainties in natural gas in fuel constraints for hourly individual unit and total unit fuel consumptions. Security Constrained Unit Commitment (SCUC) is usually a mixed integer programming and gas load flow has a non-linear equation a genetic algorithm is proposed to solve natural gas transmission network. A fuzzy mixed integer programming optimization is briefly discussed and adapted to deal with security constrained unit commitment schedule. Finally, two case studies are investigated (IEEE 6-bus system with 7-node natural gas transmission grid and the IEEE 118-bus power system linked with 14-node gas transmission test system)... 

    Equilibria in the competitive retail electricity market considering uncertainty and risk management

    , Article Energy ; Volume 106 , 2016 , Pages 315-328 ; 03605442 (ISSN) Kharrati, S ; Kazemi, M ; Ehsan, M ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    In a medium term planning horizon, a retailer should determine its forward contracting and pool participating strategies as well as the selling price to be offered to the customers. Considering a competitive retail electricity market, the number of clients being supplied by any retailer is a function of the selling prices and some other characteristics of all the retailers. This paper presents an equilibrium problem formulation to model the retailer's medium term decision making problem considering the strategy of other retailers. Decision making of any single retailer is formulated as a risk constraint stochastic programming problem. Uncertainty of pool prices and clients' demands is... 

    Medium-term retailer's planning and participation strategy considering electricity market uncertainties

    , Article International Transactions on Electrical Energy Systems ; Volume 26, Issue 5 , 2016 , Pages 920-933 ; 20507038 (ISSN) Kharrati, S ; Kazemi, M ; Ehsan, M ; Sharif University of Technology
    John Wiley and Sons Ltd  2016
    Abstract
    This paper presents a risk-constrained programming approach to solve a retailer's medium-term planning problem. A retailer tries to maximize its profit via determining the optimal price offered to the customers as well as optimal strategy of participating in futures and pool markets. The uncertainty of pool prices is modeled by an envelope-bound information-gap model. Another source of uncertainty in this problem is the clients' demand, which is considered via a scenario generation method. The proposed method is formulated as a bi-level stochastic programming problem based on the information-gap decision theory. The Karush-Kuhn-Tucker optimality conditions are used to convert the bi-level... 

    Economical Evaluation of Smart Asynchronous Measuring and Remote Reading Instrument and its application in Reducing Operation, Maintenance and Expansion of Urban Distribution Substation

    , M.Sc. Thesis Sharif University of Technology Sabeti Nezhad, Abbas (Author) ; Ehsan, Mehdi (Supervisor)
    Abstract
    Making distribution networks smart includes all appropriate hardware and software devices for controlling and making operation of the network optimized. (SCADA system, distribution management, communication equipments, substation automation, monitoring equipments, etc). Monitoring and management of electricity distribution networks enable us to control and record events in the operation. Equipments in the distribution substations, will be under full time monitoring and hence, we would be able to protect them against over loads, over voltages, load unbalances and inefficient usage of transformers capacity and other distribution instruments. It also enables us to manage operation switchings,... 

    Probabilistic optimal power dispatch in multi-carrier networked microgrids under uncertainties

    , Article Energies ; Volume 10, Issue 11 , 2017 ; 19961073 (ISSN) Amir, V ; Jadid, S ; Ehsan, M ; Sharif University of Technology
    2017
    Abstract
    A microgrid (MG) is a small-scale version of the power system which makes possible the integration of renewable resources as well as achieving maximum demand side management (DSM) utilization. The future power system will be faced with severe uncertainties owing to penetration of renewable resources. Consequently, the uncertainty assessment of system performance is essential. The conventional energy scheduling in an MG may not be suitable for active distribution networks. Hence, this study focuses on the probabilistic analysis of optimal power dispatch considering economic aspects in a multi-carrier networked microgrid. The aim is to study the impact of uncertain behavior of loads, renewable... 

    A Decision Framework for Participation of Electric Vehicles in Vehicle-to-Grid (V2G) Considering Players' Utility

    , Ph.D. Dissertation Sharif University of Technology Sarparandeh, Mohammad Hossein (Author) ; Ehsan, Mehdi (Supervisor)
    Abstract
    The inevitable emergence of electric vehicles into the transportation industry in the near future can be a potential challenge or an opportunity for the power system. Vehicle-to-Grid can provide services for microgrids and the electricity market. The players of the game for participation of electric vehicles in microgrid or electricity market are vehicle owners, microgrid operators, and the aggregators. The formation and continuation of this interaction requires the interests of all institutions involved in the subject to be considered. Since there has not yet been an established conceptual or executive framework for the utilization of these vehicles in Vehicle-to-Grid idea considering... 

    Optimal planning of a multi-carrier microgrid (MCMG) considering demand-side management

    , Article International Journal of Renewable Energy Research ; Volume 8, Issue 1 , 2018 , Pages 238-249 ; 13090127 (ISSN) Amir, V ; Jadid, S ; Ehsan, M ; Sharif University of Technology
    International Journal of Renewable Energy Research  2018
    Abstract
    The multi-carrier microgrid (MCMG) is a restricted district comprising convertors and energy storage systems (ESSs) that are used to fulfill various energy demands. The structure and optimal operation of these MCMGs with regard to fulfilling multi-carrier demands are presented in relation to their rapid spread. In this paper, a two-stage optimum planning and design method for an MCMG is presented in the planning horizon. The investment and operation (fuel and maintenance) costs are considered concurrently to find the optimal type and size of components over the planning horizon. At the first stage, the genetic algorithm (GA) is applied to determine the optimal type and size of components,... 

    Energy Storage Planning from the Viewpoint of the Electricity Retailer in the Presence of Demand Response Programs

    , M.Sc. Thesis Sharif University of Technology Ezzati abdoljabbar, Behzad (Author) ; Ehsan, Mehdi (Supervisor)
    Abstract
    Electricity has been known as one of the humans’ essential needs. The emergence of a competitive environment in most aspects of humans life and its considerable impact on the economic system in recent years has promoted this idea that the electricity should be traded as a commodity. In this business, the competition has been based on the convenient access for subscribers, and the exclusive electricity environment has became a competitive environment. Therefore, new roles have emerged. These roles take place in the direction of generation, transmission and distribution of electrical energy with the aim of improving them. Retailer is one of the emerged roles for restructuring in the field of... 

    Operation of multi-carrier microgrid (MCMG) considering demand response

    , Article Journal of Operation and Automation in Power Engineering ; Volume 7, Issue 1 , 2019 , Pages 119-128 ; 23224576 (ISSN) Amir, V ; Jadid, S ; Ehsan, M ; Sharif University of Technology
    University of Mohaghegh Ardabili, Faculty of Electrical Engineering  2019
    Abstract
    In this paper, the operation of a future distribution network is discussed under the assumption of a multi-carrier microgrid (MCMG) concept. The new model considers a modern energy management technique in electricity and natural gas networks based on a novel demand side management (DSM) which the energy tariff for responsive loads are correlated to the energy input of the network and changes instantly. The economic operation of MCMG is formulated as an optimization problem. In conventional studies, energy consumption is optimized from the perspective of each infrastructure user without considering the interactions. Here, the interaction of energy system infrastructures is considered in the... 

    Operation of networked multi-carrier microgrid considering demand response

    , Article COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ; Volume 38, Issue 2 , 2019 , Pages 724-744 ; 03321649 (ISSN) Amir, V ; Jadid, S ; Ehsan, M ; Sharif University of Technology
    Emerald Group Publishing Ltd  2019
    Abstract
    Purpose: Microgrids are inclined to use renewable energy resources within the availability limits. In conventional studies, energy interchange among microgrids was not considered because of one-directional power flows. Hence, this paper aims to study the optimal day-ahead energy scheduling of a centralized networked multi-carrier microgrid (NMCMG). The energy scheduling faces new challenges by inclusion of responsive loads, integration of renewable sources (wind and solar) and interaction of multi-carrier microgrids (MCMGs). Design/methodology/approach: The optimization model is formulated as a mixed integer nonlinear programing and is solved using GAMS software. Numerical simulations are... 

    Integration of Production Scheduling and Process Control Using Intelligent Controller

    , M.Sc. Thesis Sharif University of Technology Namdar Moghaddam, Mostafa (Author) ; Vafa, Ehsan (Supervisor)
    Abstract
    In the present work, the integration of production scheduling and process control in a multi-product CSTR reactor is addressed. In order to reduce the complexity of solving this integrated problem, in the scheduling layer, a reduced closed-loop model, named scale bridging model, based on neural network concept is used. In the control layer, a neural network-based controller is used to achieve control objectives such as tracking, stability and robustness against model uncertainty. In addition, the designed closed loop system is used to obtain offline setpoint-output data set in order to train neural network based scale bridging model. In a comparative study, both simultaneous and sequential... 

    The effects of enviromental parameters on wind turbine power PDF curve

    , Article IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2008, Niagara Falls, ON, 4 May 2008 through 7 May 2008 ; 2008 , Pages 1193-1197 ; 08407789 (ISSN) ; 9781424416431 (ISBN) Jafarian, M ; Soroudi, A ; Ehsan, M ; Sharif University of Technology
    2008
    Abstract
    In this paper, the effects of different environmental parameters on power probability density function (PDF) curve and annual energy production of a wind turbine are studied. In each step one of these parameters is changed, and in each case, Wind turbine and wind speed is simulated and produced power has been calculated in every hours of one year. At last it was concluded that altitude above sea level (that affects the air density) and the k factor of weibull distribution have more important effects on wind turbine produced power than the others. © 2008 IEEE  

    A combination of genetic algorithm and simulated annealing for optimal DG allocation in distribution networks

    , Article Canadian Conference on Electrical and Computer Engineering 2005, Saskatoon, SK, 1 May 2005 through 4 May 2005 ; Volume 2005 , 2005 , Pages 645-648 ; 08407789 (ISSN) Gandomkar, M ; Vakilian, M ; Ehsan, M ; Sharif University of Technology
    2005
    Abstract
    This paper presents a new algorithm based on integrating the use of genetic algorithms and simulated annealing methods to optimal allocation of distributed generation resources in distribution networks. Through this algorithm a significant improvement in the optimization goal is achieved. With a numerical example the superiority of the proposed algorithm is demonstrated in comparison with the simple genetic algorithm. © 2005 IEEE  

    A genetic-based tabu search algorithm for optimal DG allocation in distribution networks

    , Article Electric Power Components and Systems ; Volume 33, Issue 12 , 2005 , Pages 1351-1362 ; 15325008 (ISSN) Gandomkar, M ; Vakilian, M ; Ehsan, M ; Sharif University of Technology
    2005
    Abstract
    This article presents a new optimization algorithm based on integrating the use of genetic algorithms and tabu search methods to optimal allocation of dispersed generation resources in distribution networks. The proposed algorithm finds how much distribution losses can be reduced if dispersed generations are optimally allocated at the demand side of power system. A significant improvement of the proposed algorithm results, over that obtained by genetic algorithm, has been achieved. Numerical examples also showed the superiority of the proposed algorithm compared with the simple genetic algorithm. Copyright © Taylor & Francis Inc