Eco-Bat Algorithm For Combined Heat and Power Economic Load Dispatch - Dewangan, P. D.;Sahu, Ruchi
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The Economic Load Dispatch (ELD) has a very important role to play in the power system. There are various methods which include conventional and non-conventional methods, like lambda iteration, etc. But now a day's soft-computing techniques are more frequently used, as they can be applied to practical applications. Eco Bat Algorithm is nature-inspired for solving CHPED (Combined Heat And PowerEconomic Dispatch) problems involving non-smooth, non-convex, and non-linear problems.CHPED problem aims to determine ideal heat and power, satisfy the constraints and minimize the overall cost of the…mehr

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Produktbeschreibung
The Economic Load Dispatch (ELD) has a very important role to play in the power system. There are various methods which include conventional and non-conventional methods, like lambda iteration, etc. But now a day's soft-computing techniques are more frequently used, as they can be applied to practical applications. Eco Bat Algorithm is nature-inspired for solving CHPED (Combined Heat And PowerEconomic Dispatch) problems involving non-smooth, non-convex, and non-linear problems.CHPED problem aims to determine ideal heat and power, satisfy the constraints and minimize the overall cost of the system under consideration. Eco Bat Algorithm is an advanced form of Bat Algorithm. In this book, an attempt is made to find the minimum cost by using Eco BatAlgorithm, considering data of four, six, ten, and forty unit systems.
Autorenporträt
P. D. Dewangan is working as Associate Professor at National Institute of Technology Raipur, India. His research interests include model order reduction and power systems. Ruchi Sahu obtained her postgraduate degree from National Institute of Technology, Raipur, India in 2018. Her research interests include power systems and optimization.