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Invasive Weed Optimization for Combined Economic and Emission Dispatch Problems

Invasive Weed Optimization for Combined Economic and Emission Dispatch Problems

B.K. Panigrahi, Manjaree Pandit, Hari Mohan Dubey, Ashish Agarwal, Wei-Chiang Hong
Copyright: © 2014 |Volume: 5 |Issue: 1 |Pages: 18
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781466652392|DOI: 10.4018/ijaec.2014010101
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MLA

Panigrahi, B.K., et al. "Invasive Weed Optimization for Combined Economic and Emission Dispatch Problems." IJAEC vol.5, no.1 2014: pp.1-18. http://doi.org/10.4018/ijaec.2014010101

APA

Panigrahi, B., Pandit, M., Mohan Dubey, H., Agarwal, A., & Hong, W. (2014). Invasive Weed Optimization for Combined Economic and Emission Dispatch Problems. International Journal of Applied Evolutionary Computation (IJAEC), 5(1), 1-18. http://doi.org/10.4018/ijaec.2014010101

Chicago

Panigrahi, B.K., et al. "Invasive Weed Optimization for Combined Economic and Emission Dispatch Problems," International Journal of Applied Evolutionary Computation (IJAEC) 5, no.1: 1-18. http://doi.org/10.4018/ijaec.2014010101

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Abstract

In this paper, Invasive Weed Optimization (IWO) algorithm is used to find the optimum solution of Combined Economic Emission Dispatch (CEED) problem. The main objective is to minimize the fuel cost as well as emission level, while satisfying the power demand and associative operational constraints. The bi-objective problem is made to a single objective function using the price penalty factor. Since, the minimize fuel cost and emission are contradictory to each other so to get the optimum compromise solution, weighing factor is used. IWO is applied on three different standard test cases i.e. 6 generators, 10 generators and 40 generators system. To measure the effectiveness and quality of solution, test results have been compared with other existing relevant approaches.

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