Hydro-thermal-wind scheduling employing novel ant lion optimization technique with composite ranking index

Hari Mohan Dubey, Manjaree Pandit and B.K. Panigrahi

Renewable Energy, 2016, vol. 99, issue C, 18-34

Abstract: A solution to the combined hydro-thermal-wind scheduling problem of multi reservoir cascaded hydro plants is presented employing a novel ant lion optimization (ALO) algorithm. Five objectives, cost, various emissions and power loss, are simultaneously optimized. The optimal schedules of thermal, hydro and wind power (WP) units are determined for continuously varying load subject to a large number of practical operational constraints. The effect of reserve and penalty coefficients and WP uncertainty is also investigated for the multi-objective (MO) problem. The newly proposed ALO algorithm has unique features like random walk, roulette wheel, and boundary shrinking. These operations provide a judicious balance between exploration and exploitation, and create a powerful optimization technique for complex real-world problems.

Keywords: Ant lion optimization (ALO); Adaptive boundary shrinking; Composite ranking index (CRI); Random walk mechanism; Multi-objective hydro-thermal-wind scheduling (MOHTWS); Wind reserve and penalty coefficients (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (21)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:99:y:2016:i:c:p:18-34

DOI: 10.1016/j.renene.2016.06.039

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