For decades, the success of India’s renewable energy transition has largely been measured in gigawatts. That indicator remains relevant, but it is no longer sufficient. The more important question today is how effectively the electricity system can accommodate, coordinate, and derive value from the renewable capacity being added.
The scale is significant. As of Sept. 30, 2026 data, India had 299 GW of renewable energy generation capacity, including 171 GW from solar and 59 GW wind. Total non-fossil capacity stood at 308 GW, according to the Ministry of New and Renewable Energy (MNRE). These numbers demonstrate the scale India has achieved. They also point to the operational challenge ahead.
Solar and wind cannot provide electricity on demand. Solar generation peaks during the day while electricity consumption can remain high in the evening. Wind generation varies with weather conditions and location. As variable renewable energy grows, the challenge is no longer only about expanding generation. It is about coordinating generation with consumption and making the power system increasingly responsive.
This challenge will become even more pronounced. The International Energy Agency sees India’s electricity demand increasing at an annual rate of 6.4% up to 2030, adding more than 570 TWh to annual electricity consumption. The agency also sees variable renewable energy accounting for 24% of India’s electricity generation in 2030, compared with 14% in 2025.
With demand growing alongside variable generation, flexibility becomes an imperative for India’s power grid, not just an option.
This is where Battery Energy Storage Systems (BESS) become critical. Yet conversations around BESS often begin and end with capacity. While capacity matters, it is far from the sole determinant of system value.
Consider a battery supporting a solar plant. Charging whenever excess solar is available may appear sensible. But what if a demand surge is anticipated later? What if the battery needs to maintain a minimum state of charge for ancillary services? What if committed schedules, market opportunities, or grid requirements change during the same operating period? What if aggressive cycling creates value today but reduces the battery’s useful life?
The value of storage therefore depends not only on how much energy a battery can store, but on the continuous decisions made around that stored energy.
This is where storage becomes an intelligence problem.
The magnitude of the requirement is evident in India’s planning documents. According to the Central Electricity Authority (CEA), integrating 364 GW of solar and 121 GW of wind up to 2031-32 would require 73.93 GW/411.4 GWh of energy storage capacity. Of this, 47.24 GW/236.22 GWh would be BESS. As per end-of-2024 figures, India’s energy storage capacity stood at just 4.86 GW, of which 0.11 GW was BESS.
This shifts the purpose of the Energy Management System
An EMS can no longer be treated merely as a tool for monitoring assets or following pre-programmed schedules. In a renewable dominated environment, it has to become the decision-making system connecting generation, storage and grid requirements.
This requires bringing together multiple real time inputs: forecasted generation, demand, state of charge, committed schedules, grid conditions, deviation risk, market signals, charging and discharging limitations, and battery degradation.
The objective is not simply to ensure that the battery is charged and ready. It is to continuously determine when that stored energy will be most valuable and how it should be deployed without compromising technical, operational, or economic requirements.
In other words, the system must be able to sense, predict, decide, and execute.
That intelligence cannot exist through EMS alone. As renewable plants become more complex, SCADA, Power Plant Controllers, forecasting, optimisation and Energy Management Systems increasingly need to operate as parts of a coordinated control architecture.
A renewable or hybrid plant may contain multiple assets and systems, but the grid ultimately needs the plant to behave as one coordinated, predictable, and responsive entity.
That requires reliable visibility into what is happening, the ability to anticipate what is likely to happen, intelligence to determine the appropriate response and control systems capable of executing it.
The February 2025 Advisory issued by the CEA demonstrates this change in system requirements. It recognised the significance of storage for grid stability, reliability and effective utilisation of energy and recommended that future solar tenders include at least two hours of storage located alongside the solar farm, equal to 10% of solar capacity.
This takes the conversation beyond batteries and into the technology that manages and coordinates them.
India’s cleantech opportunity, therefore, is not only about the mass production of solar panels, wind turbines and batteries. It is also about building the intelligence and control systems required to make these components work together.
Indigenous EMS, SCADA, PPC, forecasting and optimisation systems can acquire strategic significance as the grid becomes increasingly dynamic and storage assets are expected to perform multiple functions.
At Smart Grid Analytics, this is how we have approached the renewable energy control problem: not as a collection 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 increasingly important as the number of assets, operating conditions, and decisions increases. Monitoring alone is no longer enough. A dashboard may show the state of charge, generation or grid condition, but creating value requires determining what action should follow from that information.
The opportunity for India is therefore larger than developing indigenous individual technologies. It is to build indigenous expertise in making sense of an increasingly complex flow of data about generation, storage and grid conditions, and turning that data into coordinated decisions.
This also indicates that the next wave of energy metrics needs to go beyond installed capacity numbers.
Gigawatts and gigawatt hours will continue to be 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 proven that it can create renewable capacity at large volumes. The challenge ahead is determining whether that capacity can become increasingly responsive, coordinated, and efficient.
The next phase of the energy transition will therefore require more than generation and storage assets. It will require the intelligence layer that connects them.
The battery creates flexibility. The intelligence behind it determines how much of that flexibility the grid can harness.
The next clean energy benchmark for India, therefore, might not just be a new number of gigawatts.
It might be the ability to get the maximum out of every gigawatt.
Author: Kumar M.
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.
This content is protected by copyright and may not be reused. If you want to cooperate with us and would like to reuse some of our content, please contact: [email protected].
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