Authors:
Tahir Nadeem Malik
1
;
Abdul Qudus Abbasi
2
and
Aftab Ahmad
3
Affiliations:
1
University of Engg.& Tech., Pakistan
;
2
Quaid-i-Azam University, Pakistan
;
3
National Power Control Centre WAPDA; University of Engg.& Tech., Pakistan
Keyword(s):
Artificial Intelligence (AI), Software Architecture, Framework, Power Economic Dispatch (PED), Genetic Algorithm (GA), GA Parameters, White-box Reuse.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Evolutionary Computing
;
Genetic Algorithms
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Soft Computing
Abstract:
Economic Dispatch Problem (EDP) is the important step in Power System operation and is non-convex optimization problem. It has been solved comprehensively with mathematical programming approaches. However, these approaches handle non-convexity with assumption and resulting in an inaccurate dispatch. Genetic algorithms are potential tools for Economic dispatch solution. Computational framework “PED_Frame” has been developed which can handle economic dispatch solutions based on mathematical programming and Genetic Algorithm based approaches independently and in hybrid form. It has been tested on standard three machine and twenty machine test systems.