针对新型电力系统新能源高占比下源网荷储平衡难度加大、传统理论难以适配刚性负荷场景的现状，本文以高密度陆基水产养殖为典型对象，系统综述刚性负荷约束下源网荷储系统的研究进展。文章从技术融合、场景适配、规模扩展三个维度梳理系统演进规律；构建时间连续性、调节弹性、安全后果三维刚性量化分级体系；提炼源荷时空错配、荷网协同滞后、成本适配冲突、监测控制割裂四大核心矛盾；归纳生物质-电热耦合、光伏-热泵协同、电网-源荷互动三类配置模式；从感知、预测、决策、执行四个层面综述关键支撑技术。分析表明，现有策略可缓解源荷失衡与可靠性压力，但在动态建模、极端工况韧性、跨场景标准化及协同调控方面仍存在不足。未来刚性负荷源网荷储一体化将成为重要发展方向，多能耦合与人工智能技术可为强约束场景下系统安全高效运行提供新路径。

Aiming at the challenges of source-grid-load-storage balance under high renewable penetration and the inadaptability of traditional adjustable-load theories, this paper systematically reviews the research progress of source-grid-load-storage systems for high-density land-based aquaculture under rigid load constraints. The system evolution is analyzed from three dimensions: technical integration, scenario adaptability, and scale expansion. A three-dimensional load rigidity classification system is constructed, and four core contradictions are extracted. Three typical configuration modes and four-level key supporting technologies are summarized. Results show that existing strategies can alleviate source-load imbalance and reliability pressure, but still have deficiencies in dynamic modeling, operational resilience, standardization, and coordinated control. Future directions are also prospected. This review provides theoretical support and technical reference for relevant system planning and optimal configuration.