naa a22 4500 510731368 CHVBK 20180411082954.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.1007/s11708-012-0222-x doi (NATIONALLICENCE)springer-10.1007/s11708-012-0222-x Solving multi-objective optimal power flow problem considering wind-STATCOM using differential evolution [Elektronische Daten] [Belkacem Mahdad, K. Srairi] In this paper, a simple strategy based differential evolution was proposed for solving the problem of multi-objective environmental optimal power flow considering a hybrid model (Wind-Shunt-FACTS). The DE algorithm optimized simultaneously a combined vector control based active power of wind sources and reactive power of multi STATCOM exchanged with the electrical power system to minimize fuel cost and emissions. The proposed strategy was examined and applied to the standard IEEE 30-bus with smooth cost function to solve the problem of security environmental economic dispatch considering multi distributed hybrid model based wind and STATCOM controllers. In addition, the proposed approach was validated on a large practical electrical power system 40 generating units considering valve point effect. Simulation results demonstrate that choosing the installation of multi type of FACTS devices in coordination with many distributed wind sources is a vital research area. Higher Education Press and Springer-Verlag Berlin Heidelberg, 2013 differential evolution nationallicence multi-objective function nationallicence optimal power flow nationallicence economic dispatch nationallicence valve point effect nationallicence environment nationallicence wind source nationallicence STATCOM nationallicence Mahdad Belkacem LMSE Laboratory, Department of Electrical Engineering, University of Biskra, 07000, Biskra, Algeria aut Srairi K. LMSE Laboratory, Department of Electrical Engineering, University of Biskra, 07000, Biskra, Algeria aut Frontiers in Energy SP Higher Education Press 7/1(2013-03-01), 75-89 2095-1701 7:1<75 2013 7 11708 https://doi.org/10.1007/s11708-012-0222-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11708-012-0222-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mahdad Belkacem LMSE Laboratory, Department of Electrical Engineering, University of Biskra, 07000, Biskra, Algeria aut NATIONALLICENCE 700 1- Srairi K. LMSE Laboratory, Department of Electrical Engineering, University of Biskra, 07000, Biskra, Algeria aut NATIONALLICENCE 773 0- Frontiers in Energy SP Higher Education Press 7/1(2013-03-01), 75-89 2095-1701 7:1<75 2013 7 11708 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer