India 2030 Wind and Solar Integration Study (Interim Report)

Palchak, Joseph D.; Chernyakhovskiy, Ilya; Bowen, Thomas; Narwade, Vinayak

doi:10.2172/1524771

Cited by 11 publications

(5 citation statements)

References 3 publications

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“…Energy storage can potentially delay, reduce, or avoid the costs of transmission investments by providing extra capacity to meet peak demand needs. NREL's production cost modeling 9 of India's planned 2030 power system reveals that 71% of the ISTS transmission corridors (out of 663 modeled) may experience an average annual utilization rate of 30% or less (Palchak et al 2019). Further, 9% of lines are anticipated to have zero power flow for over a quarter of the year.…”

Section: Proposed Network Upgrades With Low Anticipated Utilization M...mentioning

confidence: 99%

“…Figure 8 shows the anticipated load and net load curves on the days with the highest ramping requirements and highest renewable generation in 2022 and 2030 (Palchak et al 2019). On the day with the highest ramps, the total ramping requirement from the lowest point on the net load curve to the highest is expected to increase from 118 GW in 2022 to 286 GW in 2030, a quantum that exceeds India's entire 2020 thermal capacity.…”

Section: Low Flexibility In the Generation MIX Monitormentioning

confidence: 99%

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Policy and Regulatory Environment for Utility-Scale Energy Storage: India

Rose¹,

Wayner²,

Koebrich³

et al. 2020

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Section: Proposed Network Upgrades With Low Anticipated Utilization M...mentioning

confidence: 99%

Section: Low Flexibility In the Generation MIX Monitormentioning

confidence: 99%

Policy and Regulatory Environment for Utility-Scale Energy Storage: India

Rose¹,

Wayner²,

Koebrich³

et al. 2020

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“…Thus, at one fifth of total capacity and almost 10% of total generation, wind and solar already play a significant role in the Indian power system. However, given the targets mentioned above, by 2030, the share of VRE could be expected to be above 25% of total generation (J. D. Palchak et al, 2019). Increasing the share of VRE in the electricity mix brings additional challenges of grid integration.…”

Section: Indian Policy Contextmentioning

confidence: 99%

“…However, this study assessed the year 2022 and a level of VRE capacity by that year which now seems unachievable. In contrast, Palchak et al (2019) used the same modelling framework to study the impact of integrating a 22% share of VRE in total generation by 2030. However, this study looked at a limited number of scenarios.…”

Section: Power System Modelling Studies In Indiamentioning

confidence: 99%

Integrating Wind and Solar in the Indian Power System

Rodrigues

Pachouri

Thakare

et al. 2022

Energiepolitik Und Klimaschutz. Energy Policy and Climate Protection

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India’s coal contribution to the total electricity generation mix stood at 73% in 2018. To meet India’s NDC ambitions, the federal government announced determined targets to integrate 450 GW Renewable Energy in the grid by 2030. This paper explores the pathways to integrate high RE generation by 2030 with effective balancing of supply and demand and associated challenges of flexibility requirements. A Unit commitment and economic dispatch model, which simulates the power system operation was used. The overall share of variable renewables reaches 26% and 32% in the Baseline Capacity Scenario (BCS) and High Renewable Energy Scenario (HRES) respectively. Improved ramp rates and a minimum thermal loading limit induce flexibility in the thermal fleet. In the HRES, more than 16 GW of coal plants are required for two-shift operations in April and more than 50% of days see an aggregate all-India ramp from the coal fleet in excess of 500 MW per minute. Battery Storage provides daily balancing while reducing VRE curtailment to less than 0.2% in the HRES. Nationally Coordinated dispatch shows increased power transfer from high VRE regions to export power during high VRE generation periods. It is thus found that high RE penetration is possible by 2030 at no extra system costs.

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“…This study followed the same input data and set of assumptions presented by for the ReEDS-India CEM, with several key modeling advances noted in this section. The PCM used the same input data and assumptions presented by (J. D. Palchak et al 2019). Input data and assumptions were updated in three categories:…”

Section: Data and Assumptionsmentioning

confidence: 99%