India has set ambitious clean energy targets—500 GW of clean energy capacity by 2030—while its demand continues to grow rapidly with its expanding economy. The increasing variability and uncertainty in both renewable energy generation and electricity demand is introducing new challenges in planning and operating the electricity grid. Integrated resource planning (IRP) is critical to comprehensively evaluate resource portfolios including conventional and renewable generators, storage, transmission, and demand-side resources to meet future demand in India’s electricity system. This project aims to address two challenges: 1) While capacity expansion and production cost models commonly used in IRP studies can determine the location and scale of new generation and storage investments, their simplified treatment of transmission (necessary for computational tractability of multi-year simulation) creates a significant gap in translating IRP investment plans into a well-coordinated and resilient transmission network. A lack of adequate transmission evacuation capacity could lead to renewable energy curtailment, loss of load, higher costs, and other operational challenges. 2) National-scale IRP models need to be scaled down to state-level models for state planners without compromising model and data accuracy. Improved models and capacity building are key to rapid and cost-effective clean energy deployment. This project proposes to closely integrate capacity expansion, production cost, and resource adequacy models with a transmission power flow model to provide realistic recommendations for energy infrastructure investments in India to ensure the reliability and resiliency of the grid. Such a modeling framework will enable the analysis of (1) transmission, generation, and storage investments; (2) current and proposed regulations and policies driving transmission planning, and (3) reliability and resilience in India’s grid operations. Specific insights may include renewable energy siting based on transmission capacity and land resource availability; battery storage sizing and siting to minimize curtailment, costs, and transmission investments; grid reliability and resiliency during extreme events; optimal use of existing transmission to defer costly upgrades; analysis of existing transmission resource plans; and development of state-level models for use by state grid planners. Through workshops, stakeholder engagements, reports, and policy briefs based on the modeling framework and its results, the team will work closely with state-level and national-level planning, operations, regulatory, and academic entities for maximizing feedback and uptake of results and recommendations