Load Shedding Optimization in Power System Using Swarm Intelligence-Based Optimization Techniques

Authors

  • Vedant V. Sonar Electrical Engineering Department, L.D. College of Engineering Ahmedabad
  • H. D. Mehta Electrical Engineering Department, L.D. College of Engineering Ahmedabad

Keywords:

Load shedding, Firefly Algorithm, Particle Swarm Optimization, New Voltage Stability Index, Multi-objective Optimization.

Abstract

In this paper, an Optimal Load Shedding problem pertaining to system overloading is solved using two swarm intelligence based,
bio-inspired algorithms, viz. the Firefly Algorithm (FA) and the Particle Swarm Optimization (PSO). The standard objective
functions, viz. the amount of load shedding and the New Voltage Stability Index (NVSI), indicating the optimal location of load to
be shed, are minimized using the proposed algorithms. The NVSI acts as a voltage stability indicator in transmission line and its
minimization improves transmission line performance, thus improving voltage stability of the system. A standard IEEE 30-bus test
system is used for solving load flow problem using Gauss-Siedel method. This paper compares the effectiveness of both the
algorithms in solving the proposed multi-objective problem.

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Published

2015-05-25

How to Cite

Vedant V. Sonar, & H. D. Mehta. (2015). Load Shedding Optimization in Power System Using Swarm Intelligence-Based Optimization Techniques . International Journal of Advance Research in Engineering, Science & Technology, 2(5), 199–203. Retrieved from https://ijarest.org/index.php/ijarest/article/view/148

Issue

Vol. 2 No. 5 (2015): Volume: 02, Issue: 05 - May, 2015.

Section

Articles