P. K. Chattopadhyay

TL;DR: In this paper, a biogeography-based optimization (BBO) algorithm is proposed to solve both convex and non-convex economic load dispatch (ELD) problems of thermal plants.

TL;DR: A hybrid technique combining differential evolution with biogeography-based optimization (DE/BBO) algorithm to solve both convex and nonconvex economic load dispatch (ELD) problems of thermal power units considering transmission losses, and constraints such as ramp rate limits, valve-point loading and prohibited operating zones.

TL;DR: In this article, a biogeography-based optimisation (BBO) algorithm is proposed to solve optimal power flow (OPF) problems of a power system with generators that may have either convex or non-convex fuel cost characteristics.

TL;DR: In this paper, the authors proposed a dynamic economic dispatch (DED) based on a simulated annealing (SA) technique for the determination of the global or near global optimum dispatch solution.

TL;DR: This paper presents an algorithm, biogeography-based optimization (BBO) to solve both convex and non-convex economic load dispatch (ELD) problems of thermal generators of a power system, considered to be a promising alternative approach for solving the ELD problems in practical power system.