For sustainability of environment, the progression in energy management leads to the development of advance optimization solving techniques that are used to decipher the complex energy and economic dispatch (EED) problem of grid system. Further, it also leads to enhancement of a synthesis structure of a system that helps to lessen the overall operational cost and pollutant emission of electrical system along with approved set of environmental elements. The main concern of this paper is to resolve the problem of energy and economic factor by application of hybrid intelligent optimization technique. This technique is called random oppositional coral reef shark algorithm (ROCRSA) which is integrated with inspired from the biological behavior of coral reef and shark reef under sea bed. The coral inspired proposed algorithm (ROCRSA) is a competent in solving the complex behavior of hybrid power system along with swift permutations and calculations. Further, this meta-heuristic optimization technique gives a new dimension to design the complex arrangement of microgrid system having various economic and emission constraints. The performance of proposed hybrid method on various generating units enhances the exploration and exploitation process of the grid system which is being compared with existing algorithms. The results of proposed intelligent algorithm show advanced optimal value for both local and global parameters that leads to better range of power system and environmental constraints.