Long-term Power Grid Planning via Answer Set Programming

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The Power grid is a critical infrastructure underpinning all aspects of modern society and its services. Maintaining its effectiveness requires…
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.
Source
Original Article: Long-term Power Grid Planning via Answer Set Programming
Published: May 19, 2026
Author: Antonio Ielo
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References
- [1]NewsCredibility: 9/10ArXiv AI Papers. "Long-term Power Grid Planning via Answer Set Programming." May 19, 2026.
Transparency Notice: This article may contain AI-assisted content. All citations link to verified sources. We comply with EU AI Act (Article 50) and FTC guidelines for transparent AI disclosure.
Original Source
This article is based on Long-term Power Grid Planning via Answer Set Programming (ArXiv AI Papers)


