This　paper　presents　an　integrated　research　framework　for　the　techno-economic　feasibility　and　optimal　design　of　a　hybrid　energy　system　for　a　remote　area.　A　mixed-integer　linear　programming　model　is　developed　for　finding　optimal　solutions　to　satisfy　electricity　demand　and　ensure　sustainability.　The　cost-efficiency　and　environmental　benefits　of　the　hybrid　system　under　the　stand-alone　and　grid-connected　operation　modes　are　evaluated　and　compared.　Suifenhe,　a　remote　border　area　in　Northeast　China　was　taken　as　the　case　study　to　verify　this　model.　The　results　suggest　that　a　grid-connected　hybrid　system　consisting　of　solar　power　(28.17　MW),　biomass　generator　(8.71　MW),　and　battery　storage　(79.51　MW)　is　the　best　economically　feasible　option　to　satisfy　local　electricity　demand　with　the　levelized　cost　of　electricity　of　0.1498　$/kWh.　To　achieve　100%　electricity　self-sufficiency,　diesel　generators　would　become　the　main　component　satisfying　70%　of　total　demand　due　to　the　cost　advantage　and　flexibility.　Besides,　a　100%　renewable　energy　system　is　currently　not　economically　feasible　due　to　extremely　high　costs　and　considerable　electricity　supply　surplus.　Future　decreasing　PV　capital　cost　and　implementing　carbon　price　would　facilitate　the　development　of　renewable　energy　and　the　decarbonization　of　the　power　system.