Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations

Few non-traditional optimization techniques are applied to the dynamic economic dispatch (DED) of large-scale thermal power units (TPUs), e.g., 1000 TPUs, that consider effects valve-point loading with ramp-rate limitations. This is a complicated multiple mode problem. In this investigation, novel technique, namely, multi-gradient particle swarm (MG-PSO) algorithm two stages for exploring and exploiting search space area, employed as an tool. The M particles (explorers) in first stage used explore new neighborhoods, whereas (exploiters) second exploit best neighborhood. particles’ negative gradient variation both causes equilibrium between global local capabilities. algorithm’s authentication demonstrated on five medium-scale very systems. MG-PSO effectively reduces difficulty handling DED problem, simulation results confirm suitability such multi-objective problem at varying fitness performance measures consistency. also estimate required generation 24 h meet load demand changes. investigation provides useful technical references operators update their system programs order achieve benefits.