1. A Triple State Time Variant Cost Function Unit Commitment with Significant Vehicle to Grid Penetration

Morteza Aien; Mahmud Fotuhi Firuzabad

Volume 06, Issue 04 , December 2017, , Pages 143-151

Abstract
  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 ...  Read More

2. Optimal Allocation of the Distributed Active Filters Based on Total Loss Reduction

Vahid Chakeri; Mehrdad Tarafdar Hagh

Volume 06, Issue 04 , December 2017, , Pages 171-175

Abstract
  With the dramatic growth of nonlinear loads, it is desired to improve active filters performance and enhance their capacity. One of the most favorable methods is applying distributed active filter system (DAFS) in which leads to minimizing the cost, weight & size .The main purpose of this paper is ...  Read More

3. Per Unit Coding for Combined Economic Emission Load Dispatch using Smart Algorithms

Naser Ghorbani; Ebrahim Babaei; Sara Laali; Payam Farhadi

Volume 05, Issue 01 , February 2016, , Pages 11-21

Abstract
  This paper proposes per unit coding for combined economic emission load dispatch problem. In the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. In the proposed per unit coding, each function is transformed into per ...  Read More

4. Particle Swarm Optimization with Smart Inertia Factor for Combined Heat and Power Economic Dispatch

Naser Ghorbani; Babak Adham; Payam Farhadi

Volume 04, Issue 04 , December 2015, , Pages 197-202

Abstract
  In this paper particle swarm optimization with smart inertia factor (PSO-SIF) algorithm is proposed to solve combined heat and power economic dispatch (CHPED) problem. The CHPED problem is one of the most important problems in power systems and is a challenging non-convex and non-linear optimization ...  Read More

5. Artificial Intelligence Based Approach for Identification of Current Transformer Saturation from Faults in Power Transformers

A. R Moradi; Y Alinejad Beromi; K Kiani; Z Moravej

Volume 03, Issue 01 , February 2014, , Pages 37-46

Abstract
  Protection systems have vital role in network reliability in short circuit mode and proper operating for relays. Current transformer often in transient and saturation under short circuit mode causes mal-operation of relays which will have undesirable effects. Therefore, proper and quick identification ...  Read More

6. Efficient Data Mining with Evolutionary Algorithms for Cloud Computing Application

Hamid Malmir; Fardad Farokhi; Reza Sabbaghi-Nadooshan

Volume 03, Issue 01 , February 2014, , Pages 47-53

Abstract
  With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using ...  Read More

7. Mix proportioning of high-performance concrete by applying the GA and PSO

Alireza rezaee; mohamad reza hasani ahangar

Volume 01, Issue 01 , March 2012, , Pages 1-8

Abstract
  High performance concrete is designed to meets special requirements such as high strength, high flowability, and high durability in large scale concrete construction. To obtain such performance many trial mixes are required to find desired combination of materials and there is no conventional way to ...  Read More