The European Electricity Grid System and Winter Peak Load Stress: For how long can the european grid system survive the ever increasing demand during cold winter days?
Michael Dittmar

TL;DR
The paper analyzes Europe's electricity grid stability during cold winter peaks, highlighting the risk of blackouts due to reduced spare capacity and lack of new power plants, emphasizing urgent demand reduction measures.
Contribution
It provides an analysis of European grid stress during winter peaks and demonstrates the lack of short-term solutions for continued demand growth.
Findings
System stress during winter peaks is higher than assumed.
Few cold winter days could cause supply problems in 2007/8.
No short-term solutions exist for 1-2% annual demand growth.
Abstract
The rich countries of Western Europe and its citizens benefited during at least the last 30 years from an extraordinary stable electricity grid. This stability was achieved by the european grid system and a large flexible and reliable spare power plant capacity. This system allowed a continuous demand growth during the past 10-20 years of up to a few % per year. However, partially due to this overcapacity, no new large power plants have been completed during the past 10-15 years. The obvious consequence is that the reliable spare capacity has been reduced and that a further yearly demand growth of 1-2% for electric energy can only be achieved if new power plants will be constructed soon. Data from various European countries, provided by the UCTE, indicate that the system stress during peak load times and especially during particular cold winter days is much larger than generally…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIntegrated Energy Systems Optimization · Electric Power System Optimization · Energy Load and Power Forecasting
