DeepAI AI Chat
Log In Sign Up

A Probabilistic Transmission Expansion Planning Methodology based on Roulette Wheel Selection and Social Welfare

03/12/2012
by   Neeraj Gupta, et al.
0

A new probabilistic methodology for transmission expansion planning (TEP) that does not require a priori specification of new/additional transmission capacities and uses the concept of social welfare has been proposed. Two new concepts have been introduced in this paper: (i) roulette wheel methodology has been used to calculate the capacity of new transmission lines and (ii) load flow analysis has been used to calculate expected demand not served (EDNS). The overall methodology has been implemented on a modified IEEE 5-bus test system. Simulations show an important result: addition of only new transmission lines is not sufficient to minimize EDNS.

READ FULL TEXT
05/26/2019

Justifications of Welfare Guarantees under Normalized Utilities

It is standard in computational social choice to analyse welfare conside...
06/18/2020

The Social Welfare Implications of the Zenga Index

We introduce the social welfare implications of the Zenga index, a recen...
01/20/2022

Transfer Learning for Fault Diagnosis of Transmission Lines

Recent artificial intelligence-based methods have shown great promise in...
04/21/2019

On the Taylor Expansion of Probabilistic λ-Terms (Long Version)

We generalise Ehrhard and Regnier's Taylor expansion from pure to probab...
10/07/2018

A General Sensitivity Analysis Approach for Demand Response Optimizations

It is well-known that demand response can improve the system efficiency ...