Publication Type:

Book Chapter

Source:

Recent Advances In Harmony Search Algorithm, Springer Berlin Heidelberg, Berlin, Heidelberg, p.65–75 (2010)

ISBN:

9783642043178

URL:

http://dx.doi.org/10.1007/978-3-642-04317-8_6

Abstract:

This chapter presents a novel Harmony Search (HS) algorithm used to solve security constrained optimal power flow (OPF) with various generator fuel cost characteristics. HS is a recently developed derivative-free, meta-heuristic optimization algorithm, which draws inspiration from the musical process of searching for a perfect state of harmony. This chapter analyses the evolution of the populationvariance over successive generations in HS and thereby draws some important attention regarding the explorative power of HS. This novel methodology of modified population variance harmony search algorithm (PVHS) easily takes care of solving optimal power flow problem even with non-smooth and piecewise cost functions. This PVHS algorithm was tested on the IEEE30 bus system with three different types of cost characteristics and compared with other reported results.

Cite this Research Publication

B. K. Panigrahi, Dr. V. Ravikumar Pandi, Das, S., and Abraham, A., “Population Variance Harmony Search Algorithm to Solve Optimal Power Flow with Non-Smooth Cost Function”, in Recent Advances In Harmony Search Algorithm, Z. Woo Geem Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp. 65–75.

207
PROGRAMS
OFFERED
6
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS