Economic Load Dispatch by Hybrid Swarm Intelligence Based Gravitational Search Algorithm

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Hari Mohan Dubey 1,* Manjaree Pandit 1 B.K. Panigrahi 2 Mugdha Udgir 1

1. Department of Electrical Engineering, Madhav Institute of Technology & science Gwalior, India

2. Department of Electrical Engineering, Indian Institute of Technology Delhi, India

* Corresponding author.


Received: 13 Sep. 2012 / Revised: 29 Jan. 2013 / Accepted: 21 Apr. 2013 / Published: 8 Jul. 2013

Index Terms

PSOGSA, Economic Load Dispatch, Ramp Rate Limits, Prohibited Operating Zones (POZ)


This paper presents a novel heuristic optimization method to solve complex economic load dispatch problem using a hybrid method based on particle swarm optimization (PSO) and gravitational search algorithm (GSA). This algorithm named as hybrid PSOGSA combines the social thinking feature in PSO with the local search capability of GSA. To analyze the performance of the PSOGSA algorithm it has been tested on four different standard test cases of different dimensions and complexity levels arising due to practical operating constraints. The obtained results are compared with recently reported methods. The comparison confirms the robustness and efficiency of the algorithm over other existing techniques.

Cite This Paper

Hari Mohan Dubey, Manjaree Pandit, B.K. Panigrahi, Mugdha Udgir, "Economic Load Dispatch by Hybrid Swarm Intelligence Based Gravitational Search Algorithm", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.8, pp.21-32, 2013. DOI:10.5815/ijisa.2013.08.03


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