The rapid integration of distributed renewable energy and microgrids has exposed distribution issues such redundant energy storage investments, low asset usage, and poor coordination. While energy storage can solve the above problems, traditional standalone storage solutions and shared storage schemes based on static contracts or capacity pre-allocation struggle to share capacity and synchronize dispatch to account for network constraints. Additionally, imperfect bidirectional grid access fees and income distribution can distort incentives. A distribution system operator-managed cloud energy storage (CES) investment and capacity leasing method is proposed. A three-tier Stackelberg game structure featuring Distribution System Operators (DSO), Cloud Energy Storage Operator (CESO), and Microgrid Cluster Operator (MGCO) is created. DSO determine time-of-use energy tariffs and dynamic transmission rates, while CESO and MGCO monitor price signals and construct operational plans. In the first part of a two-stage optimal scheduling technique, NSGA-II solves a multi-objective optimization model to compute the microgrid's energy storage leasing needs. Quantum Particle Swarm Optimization (QPSO) and CPLEX calculate phase 2 Stackelberg game equilibrium. Distributing microgrid revenue using power interaction ratio-based cooperative gaming. This investment option for distribution system operators reduces energy storage capacity by 24.36%, transmission capacity by 34.46%, and system operation costs by 17.6% compared to standalone microgrid systems. Lower wind and solar power and external transmission penalties drop 6%, but net load fluctuation mitigation rises 30%. From two to four microgrids, the system retained economic benefits and stability. Research shows that the distribution system operator-led cloud energy storage investment leasing model improves techno-economic performance, incentive coordination, and scalability.
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