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This work is devoted to assess the optimal allocation of suitable integrated resources planning for ecofriendly sustainable energy-based hybrid microgrids with distributed generation. The issues due to intermittency of renewable resources and low inertia of these microgrids are alleviated by coordination of suitable demand-response support (DRS) and virtual-inertia support (VIS) systems. Primarily, 3-distributed unequal microgrids are planned with locally available Solar/Wind/Bioenergy resources including combined storage-based VIS and Electric-Vehicle charging station-based DRS units for supply and demand-side management respectively. The planned system is modelled in MATLAB considering real-time recorded Solar/Wind data with 12-months loading and simulated in different scenarios of source and load variations. The controllers are tuned using a new Quasi-oppositional chaotic Selfish-herd …