Nature Inspired Optimization for Electrical Power System is popular PDF and ePub book, written by Manjaree Pandit in 2020-04-07, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Nature Inspired Optimization for Electrical Power System can be Read Online from any device for your convenience.

Nature Inspired Optimization for Electrical Power System Book PDF Summary

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.

Detail Book of Nature Inspired Optimization for Electrical Power System PDF

Nature Inspired Optimization for Electrical Power System
  • Author : Manjaree Pandit
  • Release : 07 April 2020
  • Publisher : Springer Nature
  • ISBN : 9789811540042
  • Genre : Technology & Engineering
  • Total Page : 129 pages
  • Language : English
  • PDF File Size : 15,6 Mb

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