naa a22 4500 510731694 CHVBK 20180411082955.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s11708-013-0279-1 doi (NATIONALLICENCE)springer-10.1007/s11708-013-0279-1 A solution to unit commitment problem using invasive weed optimization algorithm [Elektronische Daten] [B. Saravanan, E. Vasudevan, D. Kothari] Unit commitment (UC) is one of the most important aspect of power generation in the world today. Though, there is no method to find the exact optimized solution, there exists several meta-heuristic algorithms to determine the close to exact solution. This paper proposes a novel solution to effectively determine UC and generation cost using the technique of invasive weed optimization (IWO). The existing technique distributes the load demand among all the generating units. The method proposed here utilizes the output of UC obtained by using the Lagrangian relaxation (LR) method and calculates the required generation from only the plants that are ON discarding the OFF generator units and thereby giving a faster and more accurate response. Moreover, the results show the comparison between the LR-particle swarm optimization (PSO) and LR-IWO, and prove that the cost of generation for a 4 unit, 8 hour schedule is much less in the case of IWO when compared to PSO. Higher Education Press and Springer-Verlag Berlin Heidelberg, 2013 Lagrangian relaxation (LR) nationallicence invasive weed optimization (IWO) nationallicence economic dispatch nationallicence optimization nationallicence fuel cost nationallicence seed nationallicence fitness nationallicence Saravanan B. School of Electrical Engineering, Vellore Institute of Technology University, 632014, Vellore, India aut Vasudevan E. School of Electrical Engineering, Vellore Institute of Technology University, 632014, Vellore, India aut Kothari D. JB Group of Educational Institutions, 500 034, Hyderabad, India aut Frontiers in Energy Springer Berlin Heidelberg 7/4(2013-12-01), 487-494 2095-1701 7:4<487 2013 7 11708 https://doi.org/10.1007/s11708-013-0279-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11708-013-0279-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Saravanan B. School of Electrical Engineering, Vellore Institute of Technology University, 632014, Vellore, India aut NATIONALLICENCE 700 1- Vasudevan E. School of Electrical Engineering, Vellore Institute of Technology University, 632014, Vellore, India aut NATIONALLICENCE 700 1- Kothari D. JB Group of Educational Institutions, 500 034, Hyderabad, India aut NATIONALLICENCE 773 0- Frontiers in Energy Springer Berlin Heidelberg 7/4(2013-12-01), 487-494 2095-1701 7:4<487 2013 7 11708 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer