电网规划人员终于有了自动化工具——ASP 优雅处理了传统语言难以表达的拓扑约束，做电力系统优化的团队可以直接参考论文方法。
该论文首次提出使用回答集编程（ASP）自动化长期电网规划过程。电网作为关键基础设施，需应对可持续目标、需求模式和城市化趋势，而规划周期可能长达十年，需保持拓扑和组合不变量。传统规划语言难以表达这些复杂约束，而ASP能简洁优雅地编码。实验在合成和真实电网数据上验证了该方法的表达力和有效性。
Long-term Power Grid Planning via Answer Set Programming
The Power grid is a critical infrastructure underpinning all aspects of modern society and its services. Maintaining its effectiveness requires continuous adaptations. In particular, addressing sustainability targets, demand patterns, and urbanisation trends requires implementing changes to the network. Actual developments can potentially span over a decade, with supply continuity and service quality that must be preserved throughout by ensuring conformance to several topological and combinatorial invariants. Long-term power grid planning deals with the above process, and although planning languages could be a natural choice, the kind of properties and invariants needed are cumbersome to express in such languages; on the contrary, they can be elegantly and succinctly encoded in Answer Set Programming (ASP). In this paper, we propose the first approach to automate and optimise the long-term power grid planning process using ASP. Experimental evaluations conducted on synthetic and real-world grid data confirm the expressive power of the proposed ASP-based approach and demonstrate its effectiveness.