Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm

Mojtaba Ghasemi, Sahand Ghavidel, Mohammad Mehdi Ghanbarian, Masihallah Gharibzadeh and Ali Azizi Vahed

Energy, 2014, vol. 78, issue C, 276-289

Abstract: This study presents a new MOMICA (Multi-Objective Modified Imperialist Competitive Algorithm) for the multi-objective OPF (optimal power flow) problem. The OPF problem can be solved for minimum generation cost which satisfies the power balance equations and system constraints. However, cost based OPF problem solutions usually result in unattractive system emission, losses and voltage profiles. In this paper, the fuel cost, emission, voltage deviation and active power losses impacts are considered as the objective functions for the proposed multi-objective OPF problem. The obtained final optimal solution using MOMICA is compared with that obtained using multi-objective algorithm in the literature. The performance of multi-objective algorithms is studied and evaluated on the standard IEEE 30-bus and IEEE 57-bus power systems. The proposed MOMICA method provides better results compared with the other algorithm as demonstrated by simulation results.

Keywords: Multi-objective OPF (optimal power flow) problem; MOMICA (Multi-Objective Modified Imperialist Competitive Algorithm) method; Fuel cost; Emission; Voltage profile; Power losses (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (38)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544214011566
Full text for ScienceDirect subscribers only

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: https://EconPapers.repec.org/RePEc:eee:energy:v:78:y:2014:i:c:p:276-289

DOI: 10.1016/j.energy.2014.10.007

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().