India is swiftly enhancing its renewable energy capacity, with over 144 GW installed as of 2024, accounting for 33% of the country's total 443 GW installed capacity, though it only contributes 13% to total electricity generation. Looking ahead, India aims to achieve 500 GW of non-fossil fuel capacity by 2030, primarily from renewable sources. This significant progress is driven by favourable government policies, decreasing technology costs, and increased private sector involvement.
However, the rapid expansion of renewable energy brings specific challenges. The intermittency of solar and wind power can complicate the maintenance of a stable and reliable power supply. As renewable energy's share increases, the power system requires enhanced ramping capabilities and balancing resources to manage rapid changes in supply and demand. There is a growing need for energy storage solutions, like batteries, to store excess energy and release it when production is low. Effective integration of renewable energy also demands demand response measures, where consumers adjust their energy use based on supply availability.
Ensuring Resource Adequacy (RA) is crucial for planning and managing generation and transmission resources to reliably meet projected energy demand while adhering to specified reliability standards and optimizing the generation mix for cost-effectiveness. To facilitate the scaling up of renewable energy, RA must account for the need for flexible resources, energy storage systems for load shifting, and demand response measures to address the intermittency and variability inherent in renewable sources.
This study focuses on assessing the resource adequacy of an Indian state by evaluating the impact of renewable energy (RE) and conventional power plants across different financial years using the methodology outlined by the Central Electricity Authority (CEA) and Forum of Regulators (FOR). Additionally, it covers potential measures for ensuring reliable supply to meet the state's demand.
Key Words: Resource Adequacy, Capacity Crediting, Energy Modelling.