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{ "item_title" : "Mathematical Models and Algorithms for Power System Optimization", "item_author" : [" Mingtian Fan", "Zuping Zhang", "Chengmin Wang "], "item_description" : "Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/12/813/231/0128132310_b.jpg", "price_data" : { "retail_price" : "175.00", "online_price" : "175.00", "our_price" : "175.00", "club_price" : "175.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mathematical Models and Algorithms for Power System Optimization|Mingtian Fan

Mathematical Models and Algorithms for Power System Optimization : Modeling Technology for Practical Engineering Problems

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Overview

Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations.

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Details

  • ISBN-13: 9780128132319
  • ISBN-10: 0128132310
  • Publisher: Academic Press
  • Publish Date: August 2019
  • Dimensions: 9.25 x 7.5 x 1 inches
  • Shipping Weight: 2.17 pounds
  • Page Count: 450

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