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Multi-Fuel Power Dispatch in an Interconnected Power System using Ant Lion Optimizer: Multi-Fuel Dispatch Considering Tie-Line Limits

Multi-Fuel Power Dispatch in an Interconnected Power System using Ant Lion Optimizer: Multi-Fuel Dispatch Considering Tie-Line Limits

Balachandar P, Ganesan S, Jayakumar N, Subramanian S
Copyright: © 2017 |Volume: 6 |Issue: 3 |Pages: 26
ISSN: 2160-9500|EISSN: 2160-9543|EISBN13: 9781522515234|DOI: 10.4018/IJEOE.2017070102
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MLA

Balachandar P, et al. "Multi-Fuel Power Dispatch in an Interconnected Power System using Ant Lion Optimizer: Multi-Fuel Dispatch Considering Tie-Line Limits." IJEOE vol.6, no.3 2017: pp.29-54. http://doi.org/10.4018/IJEOE.2017070102

APA

Balachandar P, Ganesan S, Jayakumar N, & Subramanian S. (2017). Multi-Fuel Power Dispatch in an Interconnected Power System using Ant Lion Optimizer: Multi-Fuel Dispatch Considering Tie-Line Limits. International Journal of Energy Optimization and Engineering (IJEOE), 6(3), 29-54. http://doi.org/10.4018/IJEOE.2017070102

Chicago

Balachandar P, et al. "Multi-Fuel Power Dispatch in an Interconnected Power System using Ant Lion Optimizer: Multi-Fuel Dispatch Considering Tie-Line Limits," International Journal of Energy Optimization and Engineering (IJEOE) 6, no.3: 29-54. http://doi.org/10.4018/IJEOE.2017070102

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Abstract

The electrical power generation from fossil fuel releases several contaminants into the air and this become excrescent if the generating unit is fed by Multiple Fuel Sources (MFS).The ever more stringent environmental regulations have forced the power producers to produce electricity not only at the cheapest price but also at the minimum level of pollutant emissions. Inclusion of this issue in the operational task is a welcome perspective. The cost effective and environmental responsive power system operations in the presence of MFS can be recognized as a multi-objective constrained optimization problem with conflicting operational objectives. The modern meta-heuristic algorithm namely, Ant Lion Optimizer (ALO) has been applied for the first time to obtain the feasible solution. The fuzzy decision-making mechanism has been integrated to determine the Best Compromise Solution (BCS) in the multi-objective framework. The intended algorithm is implemented on the standard test systems considering valve-point effects, CO2 emission and tie-line limits.

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