Summary
Power system engineers face difficulty in economic operation of large inter-connected power systems.
Economic Load Dispatch (ELD) of large inter-connected power system is complex, constrained and non-linear
problem which require rigorous and complex calculations before taking any decision appropriate to power
dispatch. Genetic Algorithms (GA) which are referred to as Evolutionary Algorithms(EA) have been nowadays
frequently used for optimum performance of non-linear and complex systems. This paper proposed to develop
an Evolutionary Algorithm which considers Economic Load Dispatch (ELD) problem with security constraints
of power systems. The objective is to minimize the non-linear function which is the total fuel cost of thermal
generating units, while taking into account the security constraints (power generations, voltages and line
flows).
Index Terms
Economic Load Dispatch Genetic Algorithm Security constraints Power system optimization Artificial Intelligence Economic Dispatch problems Genetic Algorithm Unit Commitment Linear and Non-Linear Programming Computational Intelligence.How to cite this article
- Published: February 29, 2016
- Volume/Issue: Volume 1, Issue 1
- Pages: 1-15
PDF preview
Other papers in IJIETS
Browse additional articles authored by one or more contributors to this paper.