Distributed　hybrid　energy　systems　are　innovative　means　of　effectively　addressing　energy　and　environmental　issues　in　the　age　of　carbon　neutrality.　This　paper　proposes　the　distributed　energy　hierarchical　network　planning　model　for　distributed　energy　systems　at　the　community　level,　which　combines　distributed　energy　planning　and　renewable　energy　use.　This　model　incorporates　the　energy　flow　between　nodes　and　line　length　into　the　optimization　objective　and　analyzes　its　capability　to　improve　the　stability　and　cost-effectiveness　of　the　network.　A　community　is　selected　as　an　example,　and　the　model　is　compared　with　single-layer　network　planning　and　node　distance　planning.　The　stability　of　the　distributed　energy　hierarchical　network　planning　model　is　demonstrated　by　the　network　efficiency,　the　node　degree　distribution　in　the　low-value　region　and　the　relatively　small　number　of　effective　connection　edges.　The　total　line　length　of　the　model　decreases　by　22%　compared　to　the　single-layer　plan　and　by　43%　compared　to　the　node　distance　plan.　By　optimizing　the　topological　connection　structure　of　the　network,　the　total　length　of　transmission　lines　in　energy　communities　can　be　significantly　reduced,　which　affects　line　construction　costs　and　transmission　losses,　and　therefore,　saving　money　on　the　operation　and　maintenance　of　power　lines　as　well　as　management　costs.