حبیب رجبی مشهدی

دانشگاه فردوسی مشهد

[ 1 ] - معرفی یک شبیه ساز عامل محور برای بازار برق

در یک بازار برق واقعی، اطلاعات کاملی از رفتار رقبا در اختیار شرکت کنندگان بازار قرار ندارد. بدین ترتیب شرکت کنندگان بازار، تصمیم گیری های خود را بر مبنای اطلاعات موجود از قیمت بازار در گذشته انجام می دهند. در این مقاله، یک شبیه ساز جدید برای بازارهای همزمان انرژی و ذخیره چرخان ارائه می گردد که در آن فرآیند کسب تجربه و یادگیری شرکت کنندگان بازار با استفاده از یک روش یادگیری تقویتی مدلسازی شده اس...

[ 2 ] - الگوریتم بهینه‌سازی ژنتیک هیبرید تقویت شده با پایگاه داده مجازی جهت ارزیابی طرح‌های توسعه تولید و شبکه انتقال

این مقاله، به معرفی یک روش بهینه‌سازی هیبرید به منظور تحلیل مسائل بهینه‌سازی مختلط با عدد صحیح می‌پردازد. مدل هیبرید یاد شده به صورت یک برنامه ‌بهینه‌سازی دو سطحی، شامل مسئله اصلی و تعدادی زیرمسئله پیاده سازی شده است. در روش پیشنهادی از یک پایگاه داده مجازی به منظور ذخیره‌سازی مجموعه حالات ارزیابی شده در حین اجرای الگوریتم بهینه‌سازی استفاده شده است. این پایگاه داده مجازی ضمن سرعت بخشیدن به رون...

[ 3 ] - مدل‌سازی تبانی واحد‌های تولیدی در بازار برق با کمک نظریه بازی‌ها

بازار برق، به دلیل ویژگی‌های خود نمی‌تواند به شکل یک بازار رقابت کامل در نظر گرفته شود. به  ویژه به دلیل تعداد نسبتا کم تولیدکنندگان می‌توان آن را یک بازار رقابت چند‌جانبه نامید. این مسئله با بروز بحران‌هایی در دهه 90 میلادی و سال 2001 در بازار‌های برق در جهان نمود بیشتری یافت. در این حالت قدرت عوامل تشکیل‌دهنده، قیمت بازار را از مقدار رقابتی افزایش خواهد داد. از طرفی امکان تبانی بین واحدهای با...

[ 4 ] - بررسی اثر بهره‏برداری بدون اپراتور از پست‏های فوق توزیع و انتقال بر قابلیت اطمینان پست

هدف از این مقاله بررسی سطح قابلیت اطمینان پست‏های فوق توزیع و انتقال در اثر حذف اپراتور از پست‏ها و بهره‏برداری از راه دور آن توسط مرکز دیسپاچینگ است. برای رسیدن به این هدف در این مقاله راهکاری دو گامی ارائه شده است. در گام اول، ابتدا مطالعه‏ای مروری بر قابلیت اطمینان تجهیزات پست و نحوه مدل‏سازی آن‏ها شده است. سپس گزارش‏های آماری مختلفی از رفتار تصادفی تجهیزات پست بررسی شده است. هدف از این گام ...

[ 5 ] - Evaluation of Price-Sensitive Loads\' Impacts on LMP and Market Power using LMP Decomposition

This paper presents a novel approach for evaluating impacts of price-sensitive loads on electricity price and market power. To accomplish this aim an analytical method along with agent-based computational economics are used. At first, Nash equilibrium is achieved by computational approach of Q-learning then based on the optimal bidding strategies of GenCos, which are figured out by Q-learning, ...

[ 6 ] - A Fast Calculation Method for Analyzing the Effect of Wind Generation on ATC

Wind energy penetration in power system has been increased very fast and large amount of capitals invested for wind farms all around the world. Meanwhile, in power systems with wind turbine generators (WTGs), the value of Available transfer capability (ATC) is influenced by the probabilistic nature of the wind power. The Mont Carlo Simulation (MCS) is the most common method to model the uncerta...

[ 7 ] - Effect of Wind Speed and Load Correlation on ELCC of Wind Turbine Generator

Utilization of wind turbines as economic and green production units, poses new challenges to the power system planners, mainly due to the stochastic nature of the wind, adding a new source of uncertainty to the power system. Different types of distribution and correlation between this random variable and the system load makes conventional method inappropriate for modeling such a correlation. In...

[ 8 ] - Optimal Coordination of Distance and Directional Overcurrent Relays Considering Different Network Topologies

Most studies in relay coordination have focused solely on coordination of overcurrent relays while distance relays are used as the main protection of transmission lines. Since, simultaneous coordination of these two types of relays can provide a better protection, in this paper, a new approach is proposed for simultaneous coordination of distance and directional overcurrent relays (D&DOCRs). Al...

[ 9 ] - DC Voltage Control and Power-Sharing of Multi-Terminal DC Grids Based on Optimal DC Power Flow and Flexible Voltage Droop Strategy

This paper develops an effective control framework for DC voltage control and power-sharing of multi-terminal DC (MTDC) grids based on an optimal power flow (OPF) procedure and the voltage-droop control. In the proposed approach, an OPF algorithm is executed at the secondary level to find optimal reference of DC voltages and active powers of all voltage-regulating converters. Then, the voltage ...

[ 10 ] - Considering Pilot Protection in the Optimal Coordination of Distance and Directional Overcurrent Relays

The aim of the relay coordination is that protection systems detect and isolate the faulted part as fast and selective as possible. On the other hand, in order to reduce the fault clearing time, distance protection relays are usually equipped with pilot protection schemes. Such schemes can be considered in the distance and directional overcurrent relays (D&DOCRs) coordination to achieve faster ...

[ 11 ] - Effects of Interruptible Load on Decision Making of a Distribution Company in Competitive Environments

The main goal of this paper is to present a new day-ahead energy acquisition model for a distribution company (Disco) in a competitive electricity market environment with Interruptible Load (IL). The work formulates the Disco energy acquisition model as a bi-level optimization problem with some of real issues, and then studies and designs a Genetic Algorithm (GA) of this optimization problem to...

[ 12 ] - Analysis of Wind Speed Forecasting Error Effects on Automatic Generation Control Performance

The main goal of this paper is to study statistical indices and evaluate AGC indices in power system which has large penetration of the WTGs. Increasing penetration of wind turbine generations, needs to study more about impacts of it on power system frequency control. Frequency control is changed with unbalancing real-time system generation and load . Also wind turbine generations have more flu...

[ 13 ] - Determining Appropriate Buses and Networks for Applying Demand Side Management Programs by Structural Analysis of EENS

The main goal of this paper is to structurally analyze impact of DSM programs on reliability indices. A new approach is presented to structurally decompose reliability index Expected Energy Not Supplied (EENS) by using Monte Carlo simulation. EENS is decomposed into two terms. The first term indicates EENS which is caused by generation contingencies. The second term indicates EENS which is caus...

[ 14 ] - Modeling of the Maximum Entropy Problem as an Optimal Control Problem and its Application to Pdf Estimation of Electricity Price

In this paper, the continuous optimal control theory is used to model and solve the maximum entropy problem for a continuous random variable. The maximum entropy principle provides a method to obtain least-biased probability density function (Pdf) estimation. In this paper, to find a closed form solution for the maximum entropy problem with any number of moment constraints, the entropy is consi...

[ 15 ] - A Novel Technique for Joint Energy and Reserve Dispatch Considering Lost Opportunity Cost

This paper presents a novel solution method for joint energy and Spinning Reserve (SR) dispatch problem. In systems in which the Lost Opportunity Cost (LOC) should be paid to generators, if the LOC is not considered in the dispatch problem, the results may differ from the truly optimum solution. Since the LOC is a non-differentiable function, including it in the formulation makes the problem so...

[ 16 ] - Price-takers’ bidding strategies in joint energy and spinning reserve pay-as-bid markets

Strategic bidding in joint energy and spinning reserve markets is a challenging task from the viewpoint of generation companies (GenCos). In this paper, the interaction between energy and spinning reserve markets is modeled considering a joint probability density function for the prices of these markets. Considering pay-as-bid pricing mechanism, the bidding problem is formulated and solved as a...

[ 17 ] - Fast Voltage and Power Flow Contingency Ranking Using Enhanced Radial Basis Function Neural Network

Deregulation of power system in recent years has changed static security assessment to the major concerns for which fast and accurate evaluation methodology is needed. Contingencies related to voltage violations and power line overloading have been responsible for power system collapse. This paper presents an enhanced radial basis function neural network (RBFNN) approach for on-line ranking of ...