Multiobjective optimal power flow algorithm to enhance multi-microgrids performance incorporating IPFC
2012 (English)In: Power and Energy Society General Meeting, 2012 IEEE, IEEE , 2012, 6345605- p.Conference paper (Refereed)
The idea of connecting some adjacent microgrids and making a multi-microgrid (MMG) have recently attracted attention among power system researchers. It helps better operate, control and manage the power system. This paper presents a multiobjective optimal power flow (MOPF) algorithm for improving the performance of MMGs incorporating interline power flow controller (IPFC). The proposed MOPF simultaneously minimizes MMG operating cost and total energy loss, as well as voltage profile deviation of all buses in the system. The proposed multiobjective nonlinear constraint optimization problem is formulated considering the control variables of IPFC. Also, the proposed algorithm guarantees that the final system operating point has a suitable security margin from the voltage instability point. A typical MMG system is used to demonstrate the effectiveness and proficiency of the algorithm.
Place, publisher, year, edition, pages
IEEE , 2012. 6345605- p.
, IEEE Power and Energy Society General Meeting, ISSN 1944-9925
interline power flow controller (IPFC), Multi-microgrid, multiobjective nonlinear optimization, operating performance
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-111797DOI: 10.1109/PESGM.2012.6345605ISI: 000312493706117ScopusID: 2-s2.0-84870583736ISBN: 978-146732727-5OAI: oai:DiVA.org:kth-111797DiVA: diva2:587724
2012 IEEE Power and Energy Society General Meeting, PES 2012, 22 July 2012 through 26 July 2012, San Diego, CA
QC 201301152013-01-152013-01-142015-05-21Bibliographically approved