فهرست مقالات Plug-in electric vehicle

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  1 - کنترل بار فرکانس در یک سیستم قدرت چند ناحیه‌ای با مشارکت منابع انرژی تجدیدپذیر و خودروی الکتریکی با استفاده از کنترل‌کننده PID مرتبه کسری مبتنی بر شبکه عصبی موجک
  عباسعلی زمانی سید محمد کارگر دهنوی علیرضا رئیسی
  با تجدید ساختار سیستم قدرت و ادغام منابع انرژی تجدیدپذیر مختلف با رفتار دینامیکی پیچیده و عدم قطعیت‌های عملکردی زیاد، مبحث کنترل بار فرکانس، پیچیدگی‌های بیشتری پیدا کرده است. در این مقاله برای یک سیستم قدرت ترکیبی دو ناحیه‌ای که شامل نیروگاه حرارتی با در نظر گرفتن عوامل چکیده کامل

  با تجدید ساختار سیستم قدرت و ادغام منابع انرژی تجدیدپذیر مختلف با رفتار دینامیکی پیچیده و عدم قطعیت‌های عملکردی زیاد، مبحث کنترل بار فرکانس، پیچیدگی‌های بیشتری پیدا کرده است. در این مقاله برای یک سیستم قدرت ترکیبی دو ناحیه‌ای که شامل نیروگاه حرارتی با در نظر گرفتن عوامل غیرخطی مانند باند مرده گاورنر و محدودیت میزان تولید و منابع انرژی تجدیدپذیر شامل توربین بادی، نیروگاه خورشیدی-حرارتی، الکترولایزر، پیل سوختی و خودرو برقی پلاگین است، یک ساختار کنترل بار فرکانس تطبیقی مرتبه کسری، مبتنی بر شبکه‌های عصبی موجک خود بازگشتی و کنترل‌کننده مرتبه کسری با نام کنترل‌کننده تناسبی-انتگرالی-مشتقی (PID) مرتبه کسری مبتنی بر شبکه عصبی موجک (AWNNFOPID) پیشنهاد شده است. برای مقایسه عملکرد کنترل‌کننده AWNNFOPID پیشنهادی چهار سناریو متفاوت در نظر گرفته شده و نتایج با کنترل‌کننده‌های سنتی انتگرال گیر (I)، متناسب-انتگرال گیر (PI)، PID و همچنین با کنترل‌کننده PID مرتبه کسری (FOPID) بهینه مقایسه شده است. نتایج شبیه‌سازی‌ها نشان‌دهنده عملکرد بسیار مناسب کنترل‌کننده AWNNFOPID پیشنهادی بر اساس شاخص‌های عملکردی زمان نشست، زمان صعود، حداکثر فراجهش، حداکثر فروجهش، انتگرال زمانی قدر مطلق خطا (ITAE) و انتگرال قدر مطلق خطا (IAE) در مقایسه با سایر کنترل‌کننده به کار رفته برای سیستم قدرت مورد مطالعه است. پرونده مقاله
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  2 - A Novel Charging Plan for PEVs Aggregator Based on Combined Market and Network Driven Approach
  Behzad Hashemi Majid Shahabi Payam Teimourzadeh Baboli
  With the large-scale production of plug-in electric vehicles (PEVs), a new entity, the PEV fleet aggregator manages charging and discharging processes of the vehicles. The main objective of an individual aggregator in interaction with electricity markets is maximizing i چکیده کامل

  With the large-scale production of plug-in electric vehicles (PEVs), a new entity, the PEV fleet aggregator manages charging and discharging processes of the vehicles. The main objective of an individual aggregator in interaction with electricity markets is maximizing its profit. In this paper, the performance of this aggregator in day-ahead and real-time electricity markets, considering (a) customers’ satisfaction constraints, (b) the effects of driving patterns and real-time energy market prices uncertainties and (c) resulted effects on the network operation, is studied. Then, the capability of a bilateral contract between the aggregator and distribution system operator as a regulation for satisfying the network’s limitations is investigated. The proposed model is formulated as a two-stage stochastic programming problem and implemented in GAMS software. The findings of the study reveal the effectiveness of the proposed algorithm on maximizing the aggregator’s profit-making as well as both customers’ and Distribution System Operator’s financial and technical satisfaction. پرونده مقاله
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  3 - A Triple State Time Variant Cost Function Unit Commitment with Significant Vehicle to Grid Penetration
  Morteza Aien Mahmud Fotuhi Firuzabad
  Hastening the power industry toward smart operation juxtaposed with the unrivaled restructuring and privatization agendas, some of the ubiquitous smart grid advantages are glanced more and more. Recently, the vehicle to grid (V2G) technology, as one of these beneficial چکیده کامل

  Hastening the power industry toward smart operation juxtaposed with the unrivaled restructuring and privatization agendas, some of the ubiquitous smart grid advantages are glanced more and more. Recently, the vehicle to grid (V2G) technology, as one of these beneficial aspects, has found a worldwide attention due to its important advantages. The V2G technology can raise the system operation efficiency, if well committed. Unit commitment (UC) is an operation problem to find the optimal schedule of generation units. In a typical UC problem, the generation units have two operational states, producing power or not, while a V2G may have an additional state i.e. consuming power due to its capability of having bi-directional power flow. In this work, this feature is modeled by the third state i.e. -1 for V2G power consumption. In addition, this work considers different cost function coefficients for different time intervals. The binary particle swarm optimization (BPSO) method is used to solve this sophisticated problem. The proposed methodology is justified through two dimensionally different case studies. What makes the results particularly interesting is that when V2Gs are taken into account, the total operation cost of the system decreases and also the V2G owners can obtain considerable profits. پرونده مقاله
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  4 - Optimal Energy Procurement of Smart Large Consumers Incorporating Parking Lot, Renewable Energy Sources and Demand Response Program
  Mehrdad Ghahramani Kazem zare Behnam Mohammadi Ivatloo
  Large commercial and industrial loads known as large energy consumers are always seeking to reduce their energy costs and consequently they are utilizing renewable and non-renewable energy sources in procurement of their required energy. Use of renewable energy sources چکیده کامل

  Large commercial and industrial loads known as large energy consumers are always seeking to reduce their energy costs and consequently they are utilizing renewable and non-renewable energy sources in procurement of their required energy. Use of renewable energy sources (RESs) and plug-in electric vehicles (PHEVs) parking lot without proper planning will make technical and economic problems for the owner of the large consumers. This study provides a model for energy management of a smart large consumer (SLC), concluding PHEVs parking lot, RESs (photovoltaic (PV), wind turbines (WT)) and non-renewable sources (fuel cell (FC), micro-turbine (MT)). In this study, an optimal exploitation for the PHEVs parking is proposed, which has the potential of utilizing as an energy generation source with the goal of reducing operational costs of SLC. In addition, this study considers the demand response (DR) program as an energy source and reducing the costs. The purpose of objective function is decreasing the operation cost of SLC to the minimum amount while considering physical and technical constraints of the sources. The proposed model is considered both DR programs and PHEVs parking lot, and the results of the simulation illustrated the positive impact of the demand response program (DRP) and parking lot in reducing operation costs. پرونده مقاله