Volume 11 - Volume 11
Optimal Power Flow in Deregulated Power Systems by Using Optimization Techniques
Abstract
An independent system operator tasked with providing equitable and fair transmission services in an
open-market context has a challenging job in dynamic security-constrained dispatch of an electric
power network. This study proposes a new methodology based on the optimal flow of power and
swarming mode, which is restricted by iterative stability. In addition to the static and dynamic
functional constraints, dynamic margin needs in relation to normal condition and contingencies,
particle swarm and moth swarm optimizations are used to optimize social welfare. Furthermore,
because the pattern of load growth in the current market environment is difficult to forecast, a new
approach for estimating the sensitive loading direction linked with a dynamic loading margin is
presented. To demonstrate and test the suggested approach, an IEEE 14-bus test system with both
supply and demand bids is utilized.
Paper Details
PaperID: 2058
Author's Name: M. Sindhu, G.V. Nagesh Kumar, Vempalle Rafi, B. Sravan Kumar and M. Aruna Bharathi
Volume: Volume 11
Issues: Volume 11
Keywords: Current Market Environment, Load Growth, Particle Swarm Optimization, Moth Swarm Algorithm.
Year: 2021
Month: May
Pages: 1883-1901