RECENT TRENDS IN OPTIMIZATION OF FACTS DEVICES | Modern Technique for the Optimization of FACTS Devices

N. Ahamed Hussain Asif (u. a.)

ISBN 10: 6209863051 / ISBN 13: 9786209863059

Published by LAP LAMBERT Academic Publishing, 2026

About this Item

RECENT TRENDS IN OPTIMIZATION OF FACTS DEVICES | Modern Technique for the Optimization of FACTS Devices | N. Ahamed Hussain Asif (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209863059 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Seller Inventory # 135117221

Bibliographic Details

• Title: RECENT TRENDS IN OPTIMIZATION OF FACTS DEVICES | Modern Technique for the Optimization of FACTS Devices
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2026
• Language: English
• ISBN 10: 6209863051
• ISBN 13: 9786209863059
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 256 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This Book aims to introduce two new metaheuristic algorithms, the Marine Predators Algorithm (MPA) and the Giant Trevally Optimizer (GTO), for the optimal placement of FACTS devices in power systems under deregulation to reduce congestion and maximize transmission efficiency. As a first step, the MPA algorithm is used to optimize the placement of FACTS based on contingency analysis in both a four-bus and a 24-bus EHV Indian grid. There are improvements of a large magnitude after FACTS placement: congestion quantity decreased from 8 to 4, power overload from 543.07 MW to 385.08 MW, and overall severity of overloads from 34.77 to 20.75. Comparative studies using evolutionary programming (EP) verify that MPA incurs lower generation costs, e.g., $2.732 million with UPFCs versus $2.738 million with EP in the 24-bus grid. During the second phase, the GTO algorithm solves FACTS sizing and placement in IEEE 14-bus and 30-bus models with different reactive loading conditions. The presented work proves that hybrid metaheuristic-based FACTS optimization can potentially enhance congestion management and system reliability in restructured markets.