#westernregion

WRPC's 604th Operation Coordination Committee reviewed a major system disturbance on 13 May 2026 involving the Khavda renewable complex.

Tripping of evacuation lines caused generation loss of about 8,963 MW.

Grid frequency fell to 49.4 Hz at 14:10 hours and triggered Stage-I under-frequency relay load shedding.

Why it matters

The event exposes the grid-security risk of concentrating very large renewable capacity at a single complex.

A transmission contingency at a large renewable park can cascade into a frequency excursion severe enough to trigger load shedding.

Event details

The agenda records renewable generation loss of around 8,963 MW after evacuation-line tripping.

The committee also reviewed Adani's proposed 30-day outages of the 765 kV Kotra-Tamnar and Kotra-Durg lines.

It also discussed standardisation of outage procedures for transmission lines directly connected to generation evacuation.

Implications

For system operators, the event highlights the need for stronger protection coordination and redundancy.

For developers, it shows the commercial risk of evacuation outages.

For consumers, under-frequency load shedding means actual supply interruptions.

Outlook

WRLDC is to present a detailed brief on the event.

The disturbance is likely to inform transmission-reinforcement and operating-procedure decisions across the Western Region.

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The Western Region’s operating window from 10–23 November 2025 reveals a decisive shift in how states balance long-term entitlements with short-term flexibility. GNA allocations increased by nearly 3.9%, while TGNA volumes contracted by about 5.9%, signalling a move away from corridor-led manoeuvres towards more embedded, station-level scheduling.

But the biggest story of the fortnight is the sharp TRAS rebalancing across major coal stations — pushing WR from a deficit of over 537,000 units to a near-neutral ~53,735 units.

GNA Rises Across Most States

The entitlement picture shows broad strength:

Madhya Pradesh: +107,000 units

Haryana: +78,000

Maharashtra: +56,000

Kerala & Chhattisgarh: Moderate additions

Rajasthan: +46%

Uttarakhand: +96%

In contrast, Gujarat trims more than 102,000 units, making it the lone outlier.

Overall, WR becomes more dependent on internal generation and less reliant on historical corridor-heavy drawal patterns.

TGNA Tightens: Less Inter-Regional, More Internal Balancing

Inter-regional TGNA flows shrink sharply:

WR–NR: –146,000 units

WR–SR: –62,000 units

At the same time:

Intra-WR TGNA: +149,000 units

This reinforces a growing preference for internal WR balancing, reducing exposure to inter-regional variability and placing more activity within regional corridors.

TRAS Normalisation: The Most Significant Movement

Major coal stations drive the region’s TRAS recovery:

SASAN: Deficit slashed from ~209,000 to ~66,000

MBMP: Cuts more than 34,000 units

KSK Mahanadi, Mouda I & II, Gadarwara: Shift from negative to positive TRAS

Solapur: Strengthens positive TRAS to ~34,000 units

Thanks to these shifts, WR’s overall TRAS deficit collapses to just ~53,735 units, achieving near-neutrality for the first time in several cycles.

Commercial Impact: Less Volatility, More Predictability

With TRAS positions stabilising:

Ancillary settlement volatility declines

Commercial spread-capture opportunities narrow

NR–WR corridor arbitrage reduces

Both generators and buyers see clearer visibility on net positions

This fortnight favours predictability over opportunistic monetisation.

Operational Impact: A More Disciplined Grid

Higher GNA and softer TGNA show that states prefer assured entitlements over quick transactional fixes. TRAS stabilisation across megastations reduces:

Over-correction

Under-correction

Systemic ancillary imbalances

The only caution is the sharp week-on-week swings from smaller states, which may introduce localised corridor stress in future cycles.

Conclusion

By the end of Week 2, the Western Region grid is:

More entitlement-driven

Less inter-region dependent

Nearly TRAS-neutral

Operationally stable

Commercially predictable

WR is clearly tightening its internal architecture, reducing reliance on high-variance balancing levers, and laying a steadier foundation for upcoming settlement cycles.