The transition to renewable energy is remaking India’s power grid at a level that generation capacity figures do not capture. Integrating variable solar and wind power at scale requires continuous, real-time data exchange between generation sources, storage systems and grid operators. Battery storage must respond to grid signals within milliseconds.
Demand response, peer-to-peer energy trading and distributed generation require the grid to function as an information system. Each of these capabilities connects what engineers call operational technology to information networks.
The equipment that manages voltage, frequency and power flow, previously isolated from external networks by design, is now networked by operational requirement. Every new connection extends the boundary of what is reachable from outside.
The draft National Electricity Policy (NEP), 2026, addresses this through two provisions that pull against each other. Section 12 mandates that all infrastructure and control systems storing or processing power sector data should be physically located within India, explicitly including battery management systems. Section 13 requires the same sectoral entities to share their operational and market data under regulatory safeguards to enable AI applications, analytics and innovation.
Territorial control over the data layer is the objective of one; circulation of that data is the objective of the other. The India Energy Stack, named in Section 7 as a foundational framework for interoperable energy systems and financial settlements, is the architecture intended to hold both requirements together.
Embedded security
Battery management systems illustrate how the security logic works at the component level. A battery management system continuously monitors cell behaviour: Charge and discharge rates, thermal conditions, capacity degradation and grid response characteristics. For a grid-scale installation, this data constitutes a detailed operational profile of critical infrastructure across a range of conditions, including emergencies. The mandate to keep this data within Indian jurisdiction is a security measure embedded in technical specification: Operational intelligence on grid behaviour under stress cannot be routed to servers outside Indian control.
The supervisory control and data acquisition systems running India’s load despatch centres present a structurally difficult problem. These are continuous operational systems managing live grid infrastructure, sourced from vendors including ABB, Siemens and GE Vernova. NEP 2026 proposes that the Grid Controller of India Limited and State load despatch centres endeavour to transition to indigenously developed systems by 2030. The transition requires replacing live control systems on infrastructure that cannot be taken offline, against a four-year timeline, with a domestic software and hardware supply chain that does not yet exist at the required scale or reliability.
The policy’s governing logic is clear: Open at the data layer, sovereign at the infrastructure layer. The India Energy Stack is expected to be the framework that will operationalise this principle.
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Published on April 20, 2026



