Optimal Transmission Switching Considering Probabilistic Reliability

Author

Chi Zhang ; Jianhui Wang

Author_Institution

Dept. of Ind. Eng., Tsinghua Univ., Beijing, China

Volume

29

Issue

2

fYear

2014

fDate

Mar-14

Firstpage

974

Lastpage

975

Abstract

A multi-objective (MO) optimization approach is proposed in this letter to develop optimal transmission switching strategies with minimal generating cost and maximal probabilistic reliability. The problem is solved via an evolutionary algorithm together with Monte Carlo simulation to capture the probabilistic nature of system component failures. The numerical results show that the identified quasi Pareto-optimal solutions can provide insights into the trade-off between generating cost and system reliability considering transmission switching.

Keywords

Monte Carlo methods; Pareto optimisation; evolutionary computation; optimisation; power transmission reliability; probability; Monte Carlo simulation; Pareto-optimal solutions; evolutionary algorithm; generating cost; maximal probabilistic reliability; multiobjective optimization approach; optimal transmission switching strategies; probabilistic reliability; system reliability; Approximation algorithms; Optimization; Power system reliability; Probabilistic logic; Reliability; Standards; Switches; Evolutionary algorithm; multi-objective optimization; reliability; transmission switching;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2013.2287999

Filename

6656013