Optimal Power Flow Problem Using Particle Swarm Optimization Algorithm
- Resource Type
- Conference
- Authors
- Patil, Monal; Vyas, Deepak; Lehru, Kinjal; Jain, Ritu; Mahajan, Vasundhara
- Source
- 2019 IEEE 5th International Conference for Convergence in Technology (I2CT) Convergence in Technology (I2CT), 2019 IEEE 5th International Conference for. :1-5 Mar, 2019
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Load flow
Optimization
Mathematical model
Generators
Birds
Particle swarm optimization
Optimal power flow
Optimization technique
Economic dispatch
Power system network
Artificial intelligence and particle swarm optimization
- Language
In this paper, an optimization issue namely optimal power flow that requires to minimize an objective while satisfying physical and specialized conditions of technical constraints on the power system networks. This analysis represents solution of optimal power flow problem of power system using particle swarm optimization algorithm. Optimal power flow is the main objectives is to minimize the generation fuel cost and meet the load demand of power system network. Optimal load will be allocated to particular generator in power system network by economic dispatch process and it is regularly optimized by optimization technique. Particle swarm optimization technique is one of the artificial intelligence-based method which shall be explored extensively in this research work. Simulation results got from IEEE14 bus and IEEE 30 bus test systems. It is representing and analysis in order to show the effectiveness of presented work.