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{ "item_title" : "Power System Optimization Modeling in Gams", "item_author" : [" Alireza Soroudi "], "item_description" : "This unique book describes how the General Algebraic Modeling System (GAMS) can be used to solve various power system operation and planning optimization problems. This book is the first of its kind to provide readers with a comprehensive reference that includes the solution codes for basic/advanced power system optimization problems in GAMS, a computationally efficient tool for analyzing optimization problems in power and energy systems. The book covers theoretical background as well as the application examples and test case studies. It is a suitable reference for dedicated and general audiences including power system professionals as well as researchers and developers from the energy sector and electrical power engineering community and will be helpful to undergraduate and graduate students. ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/962/349/3319623494_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Power System Optimization Modeling in Gams|Alireza Soroudi

Power System Optimization Modeling in Gams

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Overview

This unique book describes how the General Algebraic Modeling System (GAMS) can be used to solve various power system operation and planning optimization problems. This book is the first of its kind to provide readers with a comprehensive reference that includes the solution codes for basic/advanced power system optimization problems in GAMS, a computationally efficient tool for analyzing optimization problems in power and energy systems. The book covers theoretical background as well as the application examples and test case studies. It is a suitable reference for dedicated and general audiences including power system professionals as well as researchers and developers from the energy sector and electrical power engineering community and will be helpful to undergraduate and graduate students.

This item is Non-Returnable

Details

  • ISBN-13: 9783319623498
  • ISBN-10: 3319623494
  • Publisher: Springer
  • Publish Date: September 2017
  • Dimensions: 9.21 x 6.14 x 0.75 inches
  • Shipping Weight: 1.38 pounds
  • Page Count: 295

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