ANT COLONY OPTIMIZATION FOR NEW REDESIGN PROBLEM OF MULTI-STATE ELECTRICAL POWER SYSTEMS
Rabah Ouiddir - Mostefa Rahli - Rachid Meziane - Abdelkader Zeblah
The most important phase in many industrial applications is the design problem. Usually the demand increases randomly
with time in the form of a cumulative demand curve. To adapt the power system capacity to the demand a new design is predicted.
This paper uses an ant colony optimization (ACO)
method to solve the new redesign problem for multi-state series-parallel power systems. The study horizon is divided
into several periods. A
multiple-choice of components can be chosen and included into subsystem component at any stage to improve the system
performance. The components are
characterized by their cost, performance and availability. The objective is to minimize the investment over the study
period while satisfying
availability or performance constraints. A universal generating function technique is applied to evaluate power system
availability. The ant colony
approach is required to identify the optimal combination of components with different parameters to be allocated in parallel.
Keywords: new redesign, ant colony, multi-state, power system, universal generating moment function