menu
{ "item_title" : "Estimation of Flexibility Potentials in Active Distribution Networks", "item_author" : [" Daniel Contreras "], "item_description" : "The feasible operation region (FOR) allows capturing the aggregated flexibility potential of DER within radial distribution networks, while respecting the technical restrictions of both plants and grid. This thesis proposes a novel approach to compute the FOR, the Linear Flexibility Aggregation (LFA) method, based on the solution of a sequence of linear OPF. With the objective of reducing the computation time, without compromising the accuracy of the assessed FOR. It is shown that the proposed method provides a considerable reduction in processing time compared to similar methods, e.g. Monte-Carlo simulations or non-linear OPF-based methods.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/75/439/704/3754397044_b.jpg", "price_data" : { "retail_price" : "17.50", "online_price" : "17.50", "our_price" : "17.50", "club_price" : "17.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Estimation of Flexibility Potentials in Active Distribution Networks|Daniel Contreras

Estimation of Flexibility Potentials in Active Distribution Networks

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

The feasible operation region (FOR) allows capturing the aggregated flexibility potential of DER within radial distribution networks, while respecting the technical restrictions of both plants and grid. This thesis proposes a novel approach to compute the FOR, the Linear Flexibility Aggregation (LFA) method, based on the solution of a sequence of linear OPF. With the objective of reducing the computation time, without compromising the accuracy of the assessed FOR. It is shown that the proposed method provides a considerable reduction in processing time compared to similar methods, e.g. Monte-Carlo simulations or non-linear OPF-based methods.

This item is Non-Returnable

Details

  • ISBN-13: 9783754397046
  • ISBN-10: 3754397044
  • Publisher: Bod - Books on Demand
  • Publish Date: October 2021
  • Dimensions: 8.27 x 5.83 x 0.35 inches
  • Shipping Weight: 0.45 pounds
  • Page Count: 164

Related Categories

You May Also Like...

    1

BAM Customer Reviews