A covariance matrix adapted evolution strategy based solution to optimal power flow plus transmission charging

1Citations
Citations of this article
1Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The main objective of the paper is to minimize the overall operating cost while satisfying the power flow constraints, system security and equipments operating limits. The operating cost includes generation cost, transmission cost and consumer benefit. CMAES (Covariance matrix adapted evolution strategy) algorithm has been used as optimization tool to solve the problem. Newton Raphson's method is used to calculate power mismatch, loss and bus voltages. Power flow tracing method is used to find transmission cost. A nine bus, three generator power system is taken as test system. © 2011 Springer-Verlag.

Cite

CITATION STYLE

APA

Bastin Solai Nazaran, J., & Selvi, K. (2011). A covariance matrix adapted evolution strategy based solution to optimal power flow plus transmission charging. In Communications in Computer and Information Science (Vol. 250 CCIS, pp. 765–769). https://doi.org/10.1007/978-3-642-25734-6_135

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free