London Jeans

Nature Inspired Optimization for Electrical Power System - 9789811540035

Description: Nature Inspired Optimization for Electrical Power System Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Manjaree Pandit, Hari Mohan Dubey, Jagdish Chand Bansal Format: Hardback Publisher: Springer Verlag, Singapore, Singapore Imprint: Springer Verlag, Singapore ISBN-13: 9789811540035, 978-9811540035 Synopsis This book presents a wide range of optimization methods and their applications to various electrical power system problems such as economical load dispatch, demand supply management in microgrids, levelized energy pricing, load frequency control and congestion management, and reactive power management in radial distribution systems. Problems related to electrical power systems are often highly complex due to the massive dimensions, nonlinearity, non-convexity and discontinuity associated with objective functions. These systems also have a large number of equality and inequality constraints, which give rise to optimization problems that are difficult to solve using classical numerical methods. In this regard, nature inspired optimization algorithms offer an effective alternative, due to their ease of use, population-based parallel search mechanism, non-dependence on the nature of the problem, and ability to accommodate non-differentiable, non-convex problems. The analytical model of nature inspired techniques mimics the natural behaviors and intelligence of life forms. These techniques are mainly based on evolution, swarm intelligence, ecology, human intelligence and physical science.

Price: 103.96 GBP

Location: Aldershot

End Time: 2025-01-26T09:02:17.000Z

Shipping Cost: 34.68 GBP

Product Images

Nature Inspired Optimization for Electrical Power System - 9789811540035

Item Specifics

Return postage will be paid by: Buyer

Returns Accepted: Returns Accepted

After receiving the item, your buyer should cancel the purchase within: 60 days

Return policy details:

Book Title: Nature Inspired Optimization for Electrical Power System

Number of Pages: 129 Pages

Language: English

Publication Name: Nature Inspired Optimization for Electrical Power System

Publisher: Springer Verlag, Singapore

Publication Year: 2020

Subject: Mathematics, Physics

Item Height: 235 mm

Item Weight: 389 g

Type: Textbook

Author: Manjaree Pandit, Jagdish Chand Bansal, Hari Mohan Dubey

Subject Area: Electrical Engineering

Series: Algorithms for Intelligent Systems

Item Width: 155 mm

Format: Hardcover

Recommended

Nature Inspired Coloring Paperback
Nature Inspired Coloring Paperback

$6.18

View Details
Nature Inspired Leaf Earrings with Turquoise Glass Bead
Nature Inspired Leaf Earrings with Turquoise Glass Bead

$19.99

View Details
Natural Turquoise Stone Stud Earrings Blue Gemstone Gold Plated Earring Handmade
Natural Turquoise Stone Stud Earrings Blue Gemstone Gold Plated Earring Handmade

$16.80

View Details
Silver Boho Nature Inspired  Feather Earrings, 2.75” Long, New
Silver Boho Nature Inspired Feather Earrings, 2.75” Long, New

$8.49

View Details
Gold Bird Nest & Eggs Nature Inspired Snap Button Charm 18 mm - Fits Ginger Snap
Gold Bird Nest & Eggs Nature Inspired Snap Button Charm 18 mm - Fits Ginger Snap

$6.95

View Details
Nature-Inspired Computing for Control Systems (Studies in (2015)
Nature-Inspired Computing for Control Systems (Studies in (2015)

$92.35

View Details
Lion Night Light - Animal and Nature Inspired Home Decor Gift
Lion Night Light - Animal and Nature Inspired Home Decor Gift

$19.99

View Details
ANGARA 0.15 Ct Nature Inspired Pav?-Set Emerald Leaf and Vine Ring in 14K Gold
ANGARA 0.15 Ct Nature Inspired Pav?-Set Emerald Leaf and Vine Ring in 14K Gold

$896.72

View Details
Fashion Large Button Earrings Beige Italy  #9
Fashion Large Button Earrings Beige Italy #9

$7.99

View Details
Inspired By Nature Hues of Fuchsia and Purple Hydrangea Bundle
Inspired By Nature Hues of Fuchsia and Purple Hydrangea Bundle

$12.90

View Details