Optimum power flow

**أسماء قاسم** · 15-09-17, 04:48 PM

السلام عليكم
أبحث عن كتاب يوضح Optimum power flow باللغة العربية او الانكليزية
مع الشكر

**أسامة حسن البلخي** · 15-09-17, 07:41 PM

Optimal power flow problem قد يغطي المطلوب بإذن الله تعالى

**أسامة حسن البلخي** · 15-09-17, 07:43 PM

Optimal power flow مختصر

**أسامة حسن البلخي** · 15-09-17, 07:49 PM

التدفق الأمثل للطاقة موضوع كلي وجزئي من التوليد إلى النقل إلى الاستهلاك .. وفي كل مرحة ما يمكنكم الحصول على تعبير و معنى وفاعلية أكثر وأكثر - في البيوت في المصانع - ومنها تحسين عامل الاستطاعة الذي يصرون عليه بأبحاثهم ، ومنها في مجال المحركات أو المولدات أو ضياعات النقل والاستهلاك أو مصابيح التوفير للطاقة - وفي كل مجال يمكنك تحديد باب من أبواب العمل المثالي أو المرتفع الفاعلية
Abstract

In this paper, optimal power flow (OPF) with non-convex and non-smooth generator cost characteristics is presented using clustered adaptive teaching learning-based optimisation (CATLBO) algorithm. The proposed OPF formulation includes active and reactive power constraints; prohibited zones, and valve point loading (VPL) effects of generators. In the problem formulation, transformer tap settings and reactive power compensating devices settings are also considered as control variables. OPF is a complicated optimisation problem, hence there is a need to solve this problem with an accurate algorithm. In the proposed CATLBO algorithm, the class is divided into different sections, and allot different teacher to every section depending on the performance of that particular section. This sectioning of the class makes the proposed technique more robust and less prone to trapping in local optima. The OPF solution is obtained by considering generator fuel cost, transmission loss and voltage stability index as ******ive functions. The effectiveness of proposed CATLBO algorithm is validated on IEEE 30 bus test system, and the simulation results obtained with CATLBO algorithm are compared with other optimisation techniques presented in the literature.

http://www.inderscienceonline.com/do...IC.2017.084316

**أسامة حسن البلخي** · 15-09-17, 08:05 PM

Abstract
The ******ive of an Optimal Power Flow (OPF) algorithm is to find steady state operation point which minimizes generation cost, loss etc. or maximizes social welfare, loadability etc. while maintaining an acceptable system performance in terms of limits on generators' real and reactive powers, line flow limits, output of various compensating devices etc. Traditionally, classical optimization methods were used to effectively solve OPF. But more recently due to incorporation of FACTS devices and deregulation of a power sector, the traditional concepts and practices of power systems are superimposed by an economic market management. So OPF have become complex. In recent years, Artificial Intelligence (AI) methods have been emerged which can solve highly complex OPF problems. The purpose of this paper is to present a comprehensive survey of various optimization methods used to solve OPF problems.

A survey of optimal power flow methods (PDF Download Available). Available from: https://www.researchgate.net/publica...r_flow_methods [accessed Sep 15, 2017].

**أسامة حسن البلخي** · 15-09-17, 08:11 PM

وعليكم السلام ورحمة الله وبركاته :
هذا مختصر مكثف عن البحث يحوي مراجع هامة يمكنكم تتبعها والاسترشاد بها

**أسامة حسن البلخي** · 15-09-17, 08:14 PM

هذه مشاركة من الأستاذ الفاضل كامل بدر خان في هذا الموقع وفيها مرجع من المراجع الهامة في البحث
http://www.sayedsaad.com/montada/showthread.php?t=17952

**أسامة حسن البلخي** · 15-09-17, 08:30 PM

http://www.sayedsaad.com/montada/showthread.php?t=11957
http://www.sayedsaad.com/montada/showthread.php?t=18575

وهذه من الحالات الخاصة بتدفق القدرة في حالات متعددة حالة القصر :
Power System Analysis: Short-Circuit Load Flow and

http://www.sayedsaad.com/montada/sho...t=18374&page=2 Harmonics (Power Engineering

**أسامة حسن البلخي** · 15-09-17, 08:40 PM

Abstract

This paper describes teaching learning based optimization (TLBO) algorithm to solve multi-******ive optimal power flow (MOOPF) problems while satisfying various operational constraints. To improve the convergence speed and quality of solution, quasi-oppositional based learning (QOBL) is incorporated in original TLBO algorithm. The proposed quasi-oppositional teaching learning based optimization (QOTLBO) approach is implemented on IEEE 30-bus system, Indian utility 62-bus system and IEEE 118-bus system to solve four different single ******ives, namely fuel cost minimization, system power loss minimization and voltage stability index minimization and emission minimization; three bi-******ives optimization namely minimization of fuel cost and transmission loss; minimization of fuel cost and L-index and minimization of fuel cost and emission and one tri-******ive optimization namely fuel cost, minimization of transmission losses and improvement of voltage stability simultaneously. In this article, the results obtained using the QOTLBO algorithm, is comparable with those of TLBO and other algorithms reported in the literature. The numerical results demonstrate the capabilities of the proposed approach to generate true and well-distributed Pareto optimal non-dominated solutions of the multi-******ive OPF problem. The simulation results also show that the proposed approach produces better quality
of the individual as well as compromising solutions than other algorithms.

http://www.sciencedirect.com/science...42061514000805

http://www.sciencedirect.com/science...68494614001756