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India’s renewable energy transition has long been tracked through installed capacity figures, but that single measure is no longer adequate, according to pv magazine. The more pressing question is how well the electricity system can absorb, coordinate and extract value from the renewable capacity being added.
The scale is considerable. Data as of Sept. 30, 2026 shows India had 299 GW of renewable energy generation capacity, comprising 171 GW of solar and 59 GW of wind, while total non-fossil capacity reached 308 GW, according to the Ministry of New and Renewable Energy. These figures confirm the volume India has built, yet they also highlight the operational task that lies ahead.
Solar and wind cannot deliver power on demand. Solar output peaks during daylight hours while consumption can stay elevated into the evening, and wind generation fluctuates with weather and location. As variable renewable energy expands, the difficulty shifts from merely adding generation to aligning generation with consumption and making the power system more responsive.
That difficulty is expected to intensify. The International Energy Agency projects India’s electricity demand rising at an annual rate of 6.4% through 2030, adding more than 570 TWh to yearly consumption. The agency also expects variable renewable energy to reach 24% of India’s electricity generation in 2030, up from 14% in 2025. With demand and variable generation both climbing, flexibility becomes a necessity for the grid rather than a choice.
This is where Battery Energy Storage Systems become essential. Yet discussions about BESS frequently focus only on capacity. Capacity matters, but it is not the sole factor determining system value.
Take a battery paired with a solar plant. Charging whenever surplus solar is available may seem logical, but several questions arise: what if a demand spike is expected later, what if the battery must hold a minimum state of charge for ancillary services, what if committed schedules, market opportunities or grid requirements shift within the same operating period, and what if heavy cycling generates value now but shortens the battery’s useful life? The worth of storage therefore rests not only on how much energy a battery can hold but on the ongoing decisions made about that stored energy.
This turns storage into an intelligence problem.
The size of the requirement is clear in India’s planning documents. The Central Electricity Authority estimates that integrating 364 GW of solar and 121 GW of wind through 2031-32 would need 73.93 GW/411.4 GWh of energy storage capacity, of which 47.24 GW/236.22 GWh would be BESS. As of end-2024, India’s energy storage capacity was only 4.86 GW, with 0.11 GW from BESS.
An Energy Management System can no longer serve merely as a tool for monitoring assets or executing pre-programmed schedules. In a renewable-dominated environment, it must become the decision-making system that links generation, storage and grid requirements.
That calls for combining multiple real-time inputs: forecasted generation, demand, state of charge, committed schedules, grid conditions, deviation risk, market signals, charging and discharging limits, and battery degradation. The aim is not just to keep the battery charged and ready, but to continuously identify when stored energy will be most valuable and how to deploy it without breaching technical, operational or economic requirements. In effect, the system must sense, predict, decide and execute.
Such intelligence cannot come from an EMS alone. As renewable plants grow more complex, SCADA, Power Plant Controllers, forecasting, optimisation and Energy Management Systems increasingly need to function as parts of a coordinated control architecture. A renewable or hybrid plant may hold multiple assets and systems, but the grid ultimately needs the plant to act as one coordinated, predictable and responsive entity. That demands reliable visibility into current conditions, the ability to anticipate what is likely to happen, intelligence to choose the right response and control systems able to carry it out.
The February 2025 Advisory from the CEA illustrates this shift in system requirements. It acknowledged the importance of storage for grid stability, reliability and effective energy utilisation, and recommended that future solar tenders include at least two hours of storage co-located with the solar farm, equal to 10% of solar capacity. This moves the discussion beyond batteries to the technology that manages and coordinates them.
India’s cleantech opportunity is therefore not limited to mass production of solar panels, wind turbines and batteries. It also involves building the intelligence and control systems needed to make these components work together. Indigenous EMS, SCADA, PPC, forecasting and optimisation systems can gain strategic importance as the grid becomes more dynamic and storage assets are expected to perform multiple functions.
At Smart Grid Analytics, the approach to the renewable energy control problem has been to treat it not as a set of isolated software systems but as an intelligence layer connecting renewable generation, storage and the grid. The underlying requirement is straightforward: the system needs to know what is happening across the plant, anticipate changing conditions, decide what should happen next and translate that decision into coordinated action.
This becomes more important as the number of assets, operating conditions and decisions grows. Monitoring alone is insufficient. A dashboard may display state of charge, generation or grid condition, but creating value requires determining what action should follow from that information.
The opportunity for India is thus larger than developing individual indigenous technologies. It lies in building indigenous expertise to make sense of an increasingly complex flow of data on generation, storage and grid conditions, and to turn that data into coordinated decisions.
This also suggests that the next wave of energy metrics must move beyond installed capacity numbers. Gigawatts and gigawatt hours will remain important indicators of physical size, but they should increasingly be supplemented by utilisation, responsiveness, renewable energy accommodation, availability, provision of grid services and the value created from installed capacity.
India has shown it can create renewable capacity at large volumes. The challenge ahead is whether that capacity can become more responsive, coordinated and efficient. The next phase of the energy transition will require more than generation and storage assets; it will require the intelligence layer that connects them. The battery creates flexibility, and the intelligence behind it determines how much of that flexibility the grid can harness. The next clean energy benchmark for India may therefore not be a new gigawatt figure, but the ability to get the maximum out of every gigawatt.
The author is the Founder of Smart Grid Analytics. The views and opinions expressed in this article are the author’s own and do not necessarily reflect those held by pv magazine.
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