Iteration PSO with time varying acceleration coefficients for solving non-convex economic dispatch problems

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Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch (2012, background): “But, the generating units with multi-valve steam turbines exhibit a greater variation in the fuel-cost functions; and thus the natural inputeoutput curve is non-linear and non-smooth due to the effect of multiple steam admission valves (known as valve-points effect) [3,4].”
A self-learning TLBO based dynamic economic/environmental dispatch considering multiple plug-in electric vehicle loads (2014, methodology): “Numerous meta-heuristic algorithms have been used to solve the economic dispatch problem such as particle swarm optimization (PSO) [7], differential evolution (DE) [8], harmony search (HS) [9], biogeography-based optimization (BBO) [10], and imperialist competitive algorithm (ICA) [11], etc. Based o”
Combined emission economic dispatch of power system including solar photo voltaic generation (2015, methodology): “In [29], iteration PSO with time varying acceleration coefficients (IPSO-TVAC) has been proposed for ED with valve-point effects; Iteration term in velocity equation and time varying acceleration coefficients improved the performance (searching ability) of PSO technique.”