# COMPUTATIONAL FRAMEWORK FOR POWER ECONOMIC DISPATCH USING GENETIC ALGORITHM

### Tahir Nadeem Malik, Abdul Qudus Abbasi, Aftab Ahmad

#### 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.

#### References

- Happ H.H, 1997. Optimal power dispatch -- A comprehensive survey. In IEEE Transactions on PAS, vol. PAS-96, no.3, pp.841-854.
- Chiang Chao-Lung, 2005. Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels. In IEEE Transactions on Power System, vol. 20, no. 4, pp. 1690 -1699.
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- Su Ching-Tzong & Lin Chien-Tung, 2000. New approach with a Hopfield modeling framework to economic dispatch. In IEEE Transactions on Power Systems, vol.15, no.2, pp. 541 -545.

#### Paper Citation

#### in Harvard Style

Nadeem Malik T., Qudus Abbasi A. and Ahmad A. (2006). **COMPUTATIONAL FRAMEWORK FOR POWER ECONOMIC DISPATCH USING GENETIC ALGORITHM** . In *Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,* ISBN 978-972-8865-59-7, pages 191-194. DOI: 10.5220/0001203601910194

#### in Bibtex Style

@conference{icinco06,

author={Tahir Nadeem Malik and Abdul Qudus Abbasi and Aftab Ahmad},

title={COMPUTATIONAL FRAMEWORK FOR POWER ECONOMIC DISPATCH USING GENETIC ALGORITHM},

booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},

year={2006},

pages={191-194},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0001203601910194},

isbn={978-972-8865-59-7},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,

TI - COMPUTATIONAL FRAMEWORK FOR POWER ECONOMIC DISPATCH USING GENETIC ALGORITHM

SN - 978-972-8865-59-7

AU - Nadeem Malik T.

AU - Qudus Abbasi A.

AU - Ahmad A.

PY - 2006

SP - 191

EP - 194

DO - 10.5220/0001203601910194