Title :
Optimal Transmission Switching Considering Probabilistic Reliability
Author :
Chi Zhang ; Jianhui Wang
Author_Institution :
Dept. of Ind. Eng., Tsinghua Univ., Beijing, China
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;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2013.2287999
