Security constrained optimal power flow by modern optimization tools

Abstract

In this paper, two approaches are studied for scheduling the power generators of the least cost. This is called security constrained optimal power flow [SCOPF]. This problem is represented as a two stage, security constrained OPF problem, in which the first stage optimizes the problem using a genetic algorithm for the purpose of comparison, while the second stage optimize the problem of each contingency using flower pollination algorithms (FPA) as a new trend. Case studies based on IEEE 30 bus system show that the discussed techniques are advantageous and can guarantee operational reliability and economy.

Keywords: Optimal power flow, security, genetic algorithm, flower pollination algorithm