<p>With the speedy advancement of the green energy resources infrastructure and extensive encouragement for renewable energy have drawn hybrid power generating structures in power arrangements. The dynamic economic load dispatching (DELD) is among the other optimization issues within modern power systems. The main contribution of the proposed work is to determine the dynamic economic load dispatching (DELD) for variable load through over 24 hours. Secondly, dispatch of the dynamic economy (DED) with wind power, solar power and electric vehicles (EVs) participation model is established for lowering the fuel cost and power loss. In the present work, a bio-inspired strategy using meta-heuristics, Chaotic hippopotamus optimization algorithm (CHOA) has been utilized to optimize generation cost and system losses simultaneously for a hybrid power structure that consists of power stations for wind as well as solar power and electric vehicles (EVs) combined power generators. In order to give requisite power to the grid in the lowest possibilities operating expenses and conventional consumption of fuel, CHOA is implemented to find out the ideal time slot for generation for each power generating unit, simultaneously meeting all system requirements, including transmission power losses, limitations of ramp rate, forbidden working zones and valve point effect. To improve the search capability, the strategy of position update of hippopotamus, defence against predators and escape from the predator using chaotic strategy are introduced. Again, the technique has been approved on two distinct standard assessment cases to confirm its viability and efficacy, (i) a ten-unit, and (ii) a fifteen-unit standard system under test. The validness of the presented algorithm is then validated by a comparison with several different methods that have been documented in the literature.</p>