Domain-Specific Cloud Business Operating System for New Power Systems: Concept, Key Technologies and Initial Applications

Abstract

The deep digitization of power system business faces three major challenges: computational resources are prone to crashes, business response is slow, and platform maintenance is unsustainable. To address these issues, this paper proposes a domain-specific cloud Business Operating System (BOS) for new power systems. BOS establishes a unified management paradigm for four core digital objects— Containers, Tasks, Programs, and Data—through their standardized definition and indexed organization. Building upon this foundation, it implements three dedicated plugins to enable synergistic task-container co-scheduling, plug-and-play program integration, and optimized data access. This paper elaborates on BOS’s architecture and its rationale as an operating system, detailing the key technologies for object management. Case studies on a real-world regional power grid demonstrate that BOS effectively ensures the efficient execution of large-scale computational tasks, supports the agile integration of domain-specific models and algorithms, achieves seamless and efficient data connectivity across business chains, thereby providing a robust foundation for next-generation power system digitization.

Keywords

Power system business digitalization / Cloud computing architecture / Computational resilience / Operational efficiency / Platform maintainability / Task-container co-scheduling / Plug-and-play integration / Unified data foundation

Statement of the Use of Generative AI and AI-Assisted Technologies in the Writing Process

DeepSeek V3.1 and V3.2 were used only for language refinement and not for content generation.

Acknowledgments

The authors would like to thank all those who provided support and constructive feedback during the preparation of this work.

Author Contributions

Conceptualization, J.Z.; Methodology, J.Z. and J.H.; Software, J.Z., Y.L. (Yijian Luo), S.T. and J.H.; Validation, J.H., W.Y., Y.L. (Yang Liu), Z.L., Y.P. and Z.H.; Formal Analysis, J.H.; Investigation, J.H.; Resources, J.Z.; Data Curation, Y.L. (Yijian Luo) and S.T.; Writing—Original Draft Preparation, J.Z. and J.H.; Writing—Review & Editing, J.Z. and J.H.; Visualization, Y.L. (Yijian Luo); Supervision, J.Z.; Project Administration, J.Z.; Funding Acquisition, J.Z.

Ethics Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Due to BOS is not open-source, the study’s supporting data are only accessible to authorized South China University of Technology users via the platform through internal network access.

Funding

This work was supported in part by the National Natural Science Foundation of China (No. 52277101) and in part by the Fundamental Research Funds for the Central Universities (No. 2024ZYGXZR109).

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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