Optimal　scheduling　of　reconfigurable　interconnected　microgrids　is　a　precious　and　critical　task　for　the　residential　consumers　especially　with　the　integration　of　renewable　energy　sources,　dispatchable　units　and　energy　storage　systems.　In　this　regard,　not　only　the　optimal　scheduling　of　the　microgrids　in　a　realistic　and　correlated　environment　is　a　necessity,　but　also　the　guarantied　security　and　the　prevention　of　cyber-attacks　are　mandatory　tasks　for　the　operators.　This　article　first　addresses　these　issues　by　developing　a　novel　framework　based　on　blockchain　for　secured　data　transaction　from　the　individual　microgrids＇　components　to　the　central　control　unit　and　then　tries　to　find　the　optimal　scheduling　plan　using　stochastic　programming　based　on　point　estimate　method　(PEM).　Through　such　a　hybrid　PEM-blockchain　based　framework,　the　interconnected　microgrids　can　supply　the　residential　loads　in　a　fully　reliable,　economic　and　secured　structure.　We　also　consider　a　social-economic　framework　to　not　only　minimize　the　total　operating　cost　of　the　microgrids,　but　also　benefit　the　customers　by　enhancing　the　social　factors　through　the　optimal　switching.　Considering　the　complex　and　nonlinear　nature　of　the　problem,　an　effective　corrected　crow　search　(CCS)　algorithm　is　deployed　to　find　the　most　optimal　operating　point　for　the　microgrids.　The　quality　and　capabilities　of　the　proposed　model　are　investigated　using　a　practical　residential　interconnected　microgrid.　The　results　show　that　the　optimal　switching　could　reduce　the　total　operation　cost　from　$22,716　to　$21,935　(3.56%　reduction).　Also,　the　average　energy　not　supplied　(AENS)　has　reduced　from　1.4115　to　1.352　kWh/customer.yr　(4.40%　reduction),　which　are　notable　values.　The　results　advocate　the　quality　and　functionality　of　the　proposed　framework.