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Reserve Constrained Multi-Area Economic Dispatch Employing Evolutionary Approach

Reserve Constrained Multi-Area Economic Dispatch Employing Evolutionary Approach

Manisha Sharma, Manjaree Pandit
Copyright: © 2010 |Volume: 1 |Issue: 3 |Pages: 21
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781609609498|DOI: 10.4018/jaec.2010070103
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MLA

Sharma, Manisha, and Manjaree Pandit. "Reserve Constrained Multi-Area Economic Dispatch Employing Evolutionary Approach." IJAEC vol.1, no.3 2010: pp.49-69. http://doi.org/10.4018/jaec.2010070103

APA

Sharma, M. & Pandit, M. (2010). Reserve Constrained Multi-Area Economic Dispatch Employing Evolutionary Approach. International Journal of Applied Evolutionary Computation (IJAEC), 1(3), 49-69. http://doi.org/10.4018/jaec.2010070103

Chicago

Sharma, Manisha, and Manjaree Pandit. "Reserve Constrained Multi-Area Economic Dispatch Employing Evolutionary Approach," International Journal of Applied Evolutionary Computation (IJAEC) 1, no.3: 49-69. http://doi.org/10.4018/jaec.2010070103

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Abstract

The objective of Multi-area economic dispatch (MAED) is to determine the generation levels and the interchange power between areas that minimize fuel costs, while satisfying power balance and generating limit and transmission constraints. If an area with excess power is not adjacent to a power deficient area, or the tie-line between the two areas is at transmission limit, it is necessary to find an alternative path between these two areas to transmit additional power. When a MAED problem is solved with spinning reserve constraints, the problem becomes further complicated. The power allocation to each unit is done in such a manner that after supplying the total load, some specified reserve is left behind. In this paper, the authors compare classic PSO and DE strategies and their variants for reserve constrained MAED. The superior constraint handling capability of these techniques enables them to produce high quality solutions. The performance is tested on a 2-area system having 4 generating units and a 4-area, 16-unit system.

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