1) HPX went dark across products for a full trading week 8Cleared volume and MCP printed as 0.00 across RTM for 2026-01-26 to 2026-02-01. Inference: This looks like no-trade / no-publication rather than low liquidity, because every daily row is zeroed. Why it matters: A “blank” week breaks cross-exchange price discovery and weakens any congestion/price attribution story.
2) IEX HPDAM showed sellers queued, but not a single buyer cleared 8HPDAM posted sell bids ~124,358–133,022 MWh/day through the week, but MCV and final scheduled volume stayed 0.00 every day. Inference: Persistent one-sided sell interest without matching bids suggests either price expectations gap or product-level participation failure. Why it matters: HPDAM cannot signal hydro/flex scarcity if it never clears; it becomes “intent” data, not a market outcome.
3) Day-ahead to real-time flipped sharply positive on 2026-01-31 8On 2026-01-31, IEX DAM MCP = 2821.20 Rs/MWh while RTM MCP = 3399.37 Rs/MWh (basis +578.17 Rs/MWh). Inference: Such a late-day premium is consistent with tighter balancing needs vs day-ahead expectations, especially when frequency discipline is stressed. Why it matters: A near Rs 0.58/kWh basis can quickly inflate balancing costs for buyers who under-covered day-ahead.
4) Ancillary down-dispatch dominated 2026-02-01 balancing energy 8TRAS Down = -41,945 MWh on 2026-02-01, with average TRAS+SRAS = -1,543 MW across the day. Inference: The system leaned more on downward balancing, pointing to surplus/over-schedule pockets rather than scarcity. Why it matters: Down-dispatch at this scale changes who pays/earns in balancing, and it can distort real-time price signals.
5) Zero ATC/(N-1) breaches, yet a 765-kV corridor saw repeated voltage excursions 8For 2026-02-01, ATC and (N-1) violation counts are 0 on all listed corridors, but Chittorgarh shows 8.13% time outside IEGC band. Inference: Corridor transfer headroom can look “clean” while local voltage control still strains-two different risk surfaces. Why it matters: Voltage excursions are operational risk even when transfer indices say “no constraint.”
6) Frequency softened from Friday to Sunday, with deeper low-end touchpoints 8Average frequency moved from 50.008 Hz (2026-01-30) to 49.992 Hz (2026-02-01); minimum instantaneous on 2026-02-01 hit 49.693 Hz. Inference: The shift is small in average terms but the tail risk (deep dips) is what forces tighter balancing actions. Why it matters: More low-end exposure increases deviation risk for states and raises the system’s need for fast reserves.
7) Southern region reported zero shortage, but deviations diverged across states 8On 2026-02-01, SR evening peak demand 45,803 MW was met with 0 MW shortage, yet state UI energy shows Tamil Nadu -3.72 MU and Karnataka -1.49 MU. Inference: Zero-shortage can coexist with state-level deviation behaviour-the balancing burden shifts internally rather than showing as shortage. Why it matters: Persistent negative/positive UI pockets can become the hidden driver of reserve deployment and settlement friction.
8) A zero-stock captive unit still appears inside the national coal ledger 8On 2026-01-31, SHREE CEMENT LTD TPS (344 MW) shows Actual Stock = 0.0 (‘000 tonnes) and Stock vs normative = 0%. Inference: Even if it’s not a grid-critical ISGS station, zero-stock pockets can worsen local drawal volatility when captive demand flips to the grid. Why it matters: It’s a small-unit signal, but it’s the kind that turns into sudden demand shocks in tight hours. Click on Details for moreDetails