Decomposition Approaches for Dynamic Line Switching and Rating

Masood Jabarnejad

ISBN 10: 6202675578 / ISBN 13: 9786202675574

Published by LAP LAMBERT Academic Publishing Jul 2020, 2020

About this Item

Neuware -Economic transmission switching is a new practice to improve the economics of electric power systems. Nevertheless, frequently switching lines into or out of service is a disruptive action to the system and can create undesirable effects. In this work, we describe an economic seasonal transmission switching model where transmission switching occurs only once at the beginning of a time period (season) and then the transmission topology remains unchanged during that period. We develop a novel decomposition method that decomposes the seasonal problem into one-hour problems which are then solved efficiently. The dynamic thermal rating is another new technology that utilizes the capacity of power transmission lines based on the ambient factors and the line condition. It usually offers higher thermal capacity than the traditional static rating. We propose a multi-period mixed integer programming model and find the optimal investment plan for the dynamic ratings using Benders Decomposition. Our studies show that the utilization of the dynamic ratings and the practice of transmission switching are complementary and can reduce the costs significantly. 120 pp. Englisch.

Seller Inventory # 9786202675574

Bibliographic Details

• Title: Decomposition Approaches for Dynamic Line Switching and Rating
• Publisher: LAP LAMBERT Academic Publishing Jul 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 6202675578
• ISBN 13: 9786202675574
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 197 grams

About this title

Synopsis

Economic transmission switching is a new practice to improve the economics of electric power systems. Nevertheless, frequently switching lines into or out of service is a disruptive action to the system and can create undesirable effects. In this work, we describe an economic seasonal transmission switching model where transmission switching occurs only once at the beginning of a time period (season) and then the transmission topology remains unchanged during that period. We develop a novel decomposition method that decomposes the seasonal problem into one-hour problems which are then solved efficiently. The dynamic thermal rating is another new technology that utilizes the capacity of power transmission lines based on the ambient factors and the line condition. It usually offers higher thermal capacity than the traditional static rating. We propose a multi-period mixed integer programming model and find the optimal investment plan for the dynamic ratings using Benders Decomposition. Our studies show that the utilization of the dynamic ratings and the practice of transmission switching are complementary and can reduce the costs significantly.