Intelligent energy management in hybrid microgrids considering tidal, wind, solar and battery

•Developing an intelligent scheduling plan for hybrid AC-DC microgrids with tidal unit, solar unit and battery as popular renewable sources.•Proposing a stochastic framework to capture the uncertainties of renewable sources, market price and load demand.•Developing a new optimization algorithm based on bat algorithm and a new modification to solve the problem.