<p>To enable efficient low-carbon dispatch in carbon-neutral parks, this paper proposes a bilevel optimization framework for the coordinated operation of shared energy storage systems (SESS) in carbon-neutral parks, aimed at optimizing both economic performance and carbon reduction. The upper-level model designs dynamic pricing strategies based on the state of charge (SOC) to influence electricity pricing, while the lower-level model focuses on minimizing operational costs and carbon emissions in response to these pricing signals. To efficiently solve the optimization problem, a Polar Lights Optimization (PLO) algorithm is employed. The framework integrates carbon reduction mechanisms and incorporates scenario-based stochastic programming to account for the intermittency of renewable energy sources. Simulation results across multiple case studies demonstrate that the proposed approach effectively reduces peak-valley load imbalances, enhances the utilization of renewable energy, and significantly lowers carbon emissions, achieving superior environmental and economic outcomes compared to conventional grid-dependent and fixed storage configurations. This research underscores the critical role of dynamic pricing and scheduling strategies in facilitating the transition towards carbon-neutral, economically efficient energy systems in Carbon-neutral Parks.</p>