Economics at your fingertips  

A novel Optimization Plan for Multiple-Area Economic Dispatch: An Electro Search Optimization Approach

Advik Kapoor and Vijay Kaur

MPRA Paper from University Library of Munich, Germany

Abstract: Economic dispatch is an approach that can indirectly improve the power system resonance. A novel algorithm called JAYA is introduces in this manuscript to have an answer for the non-convex multiple-area economic dispatch (MAED). MAED comprises some zone which satisfy the load-generation balance in each area. The aggregated cost is minimized through transferring the energy from the area that has the lower cost to the zone owns the higher-cost. In above of the transmission line rating, our proposed approach provides the scientists with the multiple petroleum cost function for the generators as well as the prohibited zones for generating the power in the large-scale power generations. Moreover, a new procedure according to the electro search optimization algorithm (ESOA) is projected to obtain the global solution for the MAED problem, when all the limitations are simultaneously considered. The proposed approach is tested to validate its performance through a case system consist of seven generators located in two areas. The results show that the proposed ESOA procedure is more efficient in compare with the other approaches.

Keywords: Economic Dispatch; Prohibited Operating Zone; Transmission line rating; Optimization approach. (search for similar items in EconPapers)
JEL-codes: A23 E31 E37 I39 O21 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ene and nep-mac
Date: 2018-09-12
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link) original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

Page updated 2018-11-03
Handle: RePEc:pra:mprapa:88979