An Efficient Simulated Annealing Algorithm for Economic Load Dispatch Problems
Abstract: This paper presents
an efficient simulated annealing (SA) algorithm with a single decision variable
to solve the economic load dispatch (ELD) problems. The philosophy involves the
introduction of a new decision variable through a prudent mathematical
transformation of the relation between the decision variable and the optimal
generations. The objectives of ELD problems in electric power generation is to
programmed the devoted generating unit outputs so as to meet the mandatory load
demand at lowest amount operating cost while satisfying all units and system
equality and inequality constraints. Global optimization approaches is inspired
by annealing process of thermodynamics. The proposed SA algorithm presented
here is applied to two case studies, which analyze power systems having three,
and six generating units. The results determined by the proposed approach are
compared to those found by conventional quadratic programming (QP) and genetic
algorithm (GA).
Keywords: economic load
dispatch, simulated annealing, quadratic programming, genetic algorithm, efficient,
gobal optimization
Author: Hardiansyah, Junaidi, Yohannes
MS
Journal Code: jptkomputergg130022