اصغر اکبری فرود

[ 1 ] - مدیریت تراکم اولیه و ثانویه در سیستم‌های قدرت تجدید ساختار یافته

در این مقاله یک استراتژی جدید مدیریت تراکم ارایه شده است. در عموم روش‏های ارایه شده برای مدیریت تراکم، تمام پیشامدها، یا به صورت قطعی و یا احتمالی، قبل از وقوع بازار در برنامه‌ریزی واحدهای تولیدی در نظر گرفته می‌شود که باعث افزایش هزینه رفع تراکم می‌شود. در الگوریتم ارایه شده در این مقاله، مدیریت تراکم به دو بخش مدیریت تراکم اولیه و ثانویه تقسیم می‌شود. پیشامدها نیز به دو دسته تقسیم می‌شوند. دس...

[ 2 ] - مانیتورینگ خودکار و هوشمند اغتشاشات کیفیت توان بر اساس سیستم‌های چند عاملی

مانیتورینگ کیفیت توان، قدم اول ‌در شناسایی اغتشاشات کیفیت توان و کاهش آنها و در نتیجه بهبود عملکرد سیستم قدرت است. هدف از این مقاله، معماری استراتژی جدید و هوشمند مانیتورینگ آنلاین و آفلاین کیفیت توان بر مبنای سیستم‌های چند عاملی است. در این پژوهش، سیستم چند عاملی برای حل برخی از مشکلات مانیتورینگ کیفیت توان، از جمله پیچیدگی محاسباتی، دقت نامطلوب، تغییر الگوی داده‌ها و عدم تطبیق ساختار سیستم تش...

[ 3 ] - Protection Scheme of Power Transformer Based on Time–Frequency Analysis and KSIR-SSVM

The aim of this paper is to extend a hybrid protection plan for Power Transformer (PT) based on MRA-KSIR-SSVM. This paper offers a new scheme for protection of power transformers to distinguish internal faults from inrush currents. Some significant characteristics of differential currents in the real PT operating circumstances are extracted. In this paper, Multi Resolution Analysis (MRA) is use...

[ 4 ] - Current Directional Protection of Series Compensated Line Using Intelligent Classifier

Current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. Application of the intelligent system for fault direction classification has been suggested in this paper. A new current directional protection scheme based on intelligent classifier is proposed for the series compensated line. The proposed classifier uses ...

[ 5 ] - Development of Reinforcement Learning Algorithm to Study the Capacity Withholding in Electricity Energy Markets

This paper addresses the possibility of capacity withholding by energy producers, who seek to increase the market price and their own profits. The energy market is simulated as an iterative game, where each state game corresponds to an hourly energy auction with uniform pricing mechanism. The producers are modeled as agents that interact with their environment through reinforcement learning (RL...

[ 6 ] - A New Method for Merchandizing Surplus Allocation

Locational Marginal Pricing (LMP) is a method for energy pricing in deregulated power systems. Loss and congestion cause different prices for energy at load or generation buses. In this pricing method there is a different between payments of customers and revenue of generators which is called Merchandizing Surplus (MS). Independent System Operator (ISO) receives MS and generally renders it to T...

[ 7 ] - Modifying nodal pricing method considering market participants optimality and reliability

This paper develops a method for nodal pricing and market clearing mechanism considering reliability of the system. The effects of components reliability on electricity price, market participants’ profit and system social welfare is considered. This paper considers reliability both for evaluation of market participant’s optimality as well as for fair pricing and market clearing mechanism. To ac...

[ 8 ] - Nodal market power detection under locational marginal pricing

This paper proposes an index for nodal market power detection in power market under locational marginal pricing (LMP). This index is an ex-ante technique to detect the market power. More precisely, this criterion detects the potential of exercising market power regardless of detecting the actual market power. Also it is obvious that pricing and market clearing method affect the potential of exe...

[ 9 ] - Accurate Fault Classification of Transmission Line Using Wavelet Transform and Probabilistic Neural Network

Fault classification in distance protection of transmission lines, with considering the wide variation in the fault operating conditions, has been very challenging task. This paper presents a probabilistic neural network (PNN) and new feature selection technique for fault classification in transmission lines. Initially, wavelet transform is used for feature extraction from half cycle of post-fa...

[ 10 ] - Locational Prices in Capacity Subscription Market Considering Transmission Limitations

This study focuses on one of the most effective type of capacity markets named Capacity Subscription (CS) market which is predicted to be widely used in the upcoming smart grids. Despite variant researches done about the mechanism and structure of capacity markets, their performances have been rarely tested in the presence of network constraints. Considering this deficiency, we tried to propose...

[ 11 ] - A New Framework for Congestion Management with Exact Modeling of Impacting Factors

Congestion in the transmission lines is one of the technical problems that appear particularly in the deregulated environment. The voltage stability issue gets more important because of heavy loading in this environment. The main factor causing instability is the inability of the power system to meet the demand for reactive power. This paper presents a new approach for alleviation congestion re...

[ 12 ] - Strategic Bidding in a Pool-Based Electricity Market under Load Forecast Uncertainty

This paper proposes a method for determining the price bidding strategies of market participants consisting of Generation Companies (GENCOs) and Distribution Companies (DISCOs) in a day-ahead electricity market, while taking into consideration the load forecast uncertainty and demand response programs. The proposed algorithm tries to find a Pareto optimal point for a risk neutral participan...

[ 13 ] - Improvement of DC Optimal Power Flow Problem Based on Nodal Approximation of Transmission Losses

This paper presents a method to improve the accuracy of DC Optimal Power Flow problem, based on evaluating some nodal shares of transmission losses, and illustrates its efficiency through comparing with the conventional DCOPF solution, as well as the full AC one. This method provides three main advantages, confirming its efficiency: 1- It results in such generation levels, line flows, and noda...

[ 14 ] - Analyzing Capacity Withholding in Oligopoly Electricity Markets Considering Forward Contracts and Demand Elasticity

In this paper capacity withholding in an oligopolistic electricity market that all Generation Companies (GenCos) bid in a Cournot model is analyzed and the capacity withheld index, the capacity distortion index and the price distortion index are obtained and formulated. Then a new index, Distortion-Withheld Index (DWI), is proposed in order to measure the potential ability of market for capacit...

[ 15 ] - بررسی پایداری استاتیکی ولتاژ با استفاده از ماشین بردار پشتیبان و شبکه عصبی

پایداری ولتاژ یک مسئله اساسی در سیستم قدرت می‌باشد. در این مقاله پایداری ولتاژ از حیث استاتیکی، و کاربرد شبکه عصبی و SVM در تخمین حد پایداری و نیز پیش‌بینی پایداری ولتاﮊ بررسی شده است. پایداری ولتاژ در دو بخش مورد ارزیابی قرار گرفته است. در بخش اول، محاسبه حاشیه پایداری استاتیکی ولتاژ به وسیله شبکه عصبی RBF بیان می‌شود. مزیت روش استفاده شده، دقت بالای آن در تشخیص حاشیه پایداری ولتاژ به صورت بهن...

[ 16 ] - بررسی پایداری استاتیکی ولتاژ با استفاده از ماشین بردار پشتیبان و شبکه عصبی

پایداری ولتاژ یک مسئله اساسی در سیستم قدرت می‌باشد. در این مقاله پایداری ولتاژ از حیث استاتیکی، و کاربرد شبکه عصبی و SVM در تخمین حد پایداری و نیز پیش‌بینی پایداری ولتاﮊ بررسی شده است. پایداری ولتاژ در دو بخش مورد ارزیابی قرار گرفته است. در بخش اول، محاسبه حاشیه پایداری استاتیکی ولتاژ به وسیله شبکه عصبی RBF بیان می‌شود. مزیت روش استفاده شده، دقت بالای آن در تشخیص حاشیه پایداری ولتاژ به صورت بهن...

[ 17 ] - Discrimination of Power Quality Distorted Signals Based on Time-frequency Analysis and Probabilistic Neural Network

Recognition and classification of Power Quality Distorted Signals (PQDSs) in power systems is an essential duty. One of the noteworthy issues in Power Quality Analysis (PQA) is identification of distorted signals using an efficient scheme. This paper recommends a Time–Frequency Analysis (TFA), for extracting features, so-called "hybrid approach", using incorporation of Multi Resolution Analysis...