This study quantifies how a bio-adaptive warm-start strategy (inZORi) reduces the number of Newton-Raphson iterations needed for N-1 contingency power flow convergence under real renewable volatility. **Setup: ** case1354pegase Pan-European benchmark network (1354 buses, 1991 lines, ~73 GW nominal). 8, 832 sequential 15-minute intervals of real ENTSO-E generation data from Germany Q2 2025 (April–June). 132, 480 N-1 contingency assessments (3 seeds × 5 random lines per interval). Identical tolerance (10⁻⁶ MVA) for both solvers. **Core Result: ** inZORi converges in **3. 15 iterations** on average vs Newton-Raphson's **5. 22 iterations** — a **1. 66× speedup** that translates to **1, 058 vs 638 contingencies verified per minute**. The advantage is consistent from 0. 90× to 1. 31× load (the full physical operating range) and largest at normal operation (~1. 99× at 0. 92× load). **Key Findings: ** - Global speedup: 1. 66× (3. 15 vs 5. 22 iterations) - Iterations saved per contingency: +2. 07 (mean) - Throughput gain: +66% more N-1 security checks per minute (1, 058 vs 638 ctg/min) - Peak speedup: 1. 99× at 0. 92× load (normal operation) - Both solvers solve exactly the same 130, 056 cases and fail on the same 2, 424 (physical collapse at >1. 31× load) - Advantage consistent across all renewable share levels (12%–91%) **Methodology: ** Both solvers use identical Newton-Raphson mathematics (pandapower) and convergence tolerance (10⁻⁶ MVA). Only the starting strategy differs: NR uses flat-start (V=1. 0, angle=0°), inZORi uses a genomically-evolved warm-blend (97. 9% previous solution + 2. 1% flat). The genome (memoryₗr=0. 979) was evolved using (μ+λ) evolutionary strategy on case1354pegase N-1 scenarios. **Practical Impact: ** On a 2, 000-line network, inZORi saves ~1. 2 minutes per full N-1 scan. Over a 15-minute real-time cycle, this enables 3 additional complete security assessments — directly supporting EU renewable integration targets by maintaining grid security assessment speed as the generation mix becomes more volatile. **Limitations: ** Results use case1354pegase benchmark topology, not real TSO network. Load scaling is uniform across all nodes. Real SCADA data not available for validation. **Related publications: ** - Phase 1 (IEEE 118-bus, Proof of Concept): https: //doi. org/10. 5281/zenodo. 18716837 - Phase 2 (Real AC Power Flow): https: //doi. org/10. 5281/zenodo. 18717007 - Phase 3 (N-2 Contingencies): https: //doi. org/10. 5281/zenodo. 18735120 - Phase 4 (Historical Blackouts): https: //doi. org/10. 5281/zenodo. 18735099 - Phase 5 (ENTSO-E Real Load RO/DE/FR 2024): https: //doi. org/10. 5281/zenodo. 18806567 - Phase 6 (Capacity Boundary case1354pegase): https: //doi. org/10. 5281/zenodo. 18806643
Dumitru Novic (Fri,) studied this question.