RE Grid Integration Study with India

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Presentation transcript:

RE Grid Integration Study with India

Sponsors and Official GOI Lead Prepared by:

Grid Integration Studies: Our Purpose If India develops 100 GW of solar and 60 GW of wind energy, how would the system operate in 2022? What can policy makers do to lower the cost of operating this system and better integrate RE? Note: Fixed costs considered as sunk cost

Methodology Overview Build an operations model of today’s power system For future year, forecast load and necessary capacity to meet load Simulate power system operations in the future year Greening the Grid uses the PLEXOS production cost model

Studied scenarios Scenario name Solar (GW) Wind (GW) Description No New RE 5 23 Wind and solar capacities installed as of 2016 20S-50W 20 50 Total installed capacity as targeted in Green Energy Corridors & National Solar Mission 100S-60W 100 60 Current Government of India target for 2022 60S-100W Solar and wind targets reversed in comparison to official target 150S-100W 150 Ambitious RE growth

Modeling features High-resolution wind and solar resource data (both forecasts and actuals) Wind: 5-minute weather profiles for each 3 x 3 km2 area Solar: 1-hour weather profiles for each 10 x 10 km2 area, including impact of aerosols Unique properties for each generator CEA/CTU projections of properties and locations of new lines and power plants for 2022 Enforced state-to-state transmission flows Interregional transmission limits that adhere to reliability standards

Transmission representation in the model National study Regional study Full, planned transmission system in Southern and Western Regions plus Rajasthan (3,280 nodes) Loading limits enforced on all relevant intrastate lines; congestion limits enforced on all high-volume intrastate lines ( >400 kV)   All generation and transmission located on a single node per state plus union territories (36 nodes total) No enforced intrastate transmission constraints

Assumptions about the 2022 Power System Locations of installed wind capacity for each scenario Locations of installed solar capacity for each scenario

India’s Power System in 2022—Achieving System Balance Every 15 Minutes Project website: https://www.nrel.gov/analysis/india-renewable-integration-study.html Map visualization: https://maps.nrel.gov/IndiaGTG/

Key Findings

Annual impacts: 175 GW RE can meet 22% of India’s annual electricity demand with minimal RE curtailment

Daily impacts: Existing flexibility in the coal-dominated system can manage RE variability Load Net Load Communicate orally: Wind and solar contribute to less coal overall Dip during the day highlights need for flexibility Coal provides some of this flexibility: min gen, ramping

Coal units are typically backed down midday Coal commitment and dispatch for one week in July

Coal capacity below 25%, and above 75% PLF Average coal plant load factors fall 63% to 50%, with over 19 GW of capacity that never starts* Coal capacity below 25%, and above 75% PLF PLF No New RE 100S-60W <25% PLF 30 GW 61 GW >75% PLF 92 GW 46 GW * Compared to No New RE; Plant load factor (PLF) is calculated using weighted averages

Retiring 46 GW of coal (20% of coal capacity) may not negatively affect operations Change in coal plant load factors after 46 GW of coal plants are retired 46 GW coal (205 units) operate very little in a high-RE future A system with 175 GW of RE could support some combination of higher demand growth or retirements of generation Each dot represents one unit

Scheduling and dispatch Scheduling and dispatch Strategies for better operation can reduce the cost of RE integration and reduce curtailment Coordinated operations across states Lower technical minimums for coal plants Cost savings RE curtailment State Scheduling and dispatch 70% Technical minimum As operated in 2014 INR 6300 crore annually 3.5% 1.4% Regional Scheduling and dispatch 55% Technical minimum

RE curtailment rises from 1. 4% to 2 RE curtailment rises from 1.4% to 2.4% if only centrally-controlled coal plants can meet flexibility standards RE curtailment in energy (upper charts) and as a percentage reduction against available (lower), State Coal Inflexible

Batteries do not add value to RE integration from scheduling/dispatch perspective 2.5 GW batteries reduce RE curtailment and peak coal consumption But batteries charge during the day, in part on coal, and have efficiency losses Electricity savings from reduced RE curtailment (1.2 TWh) is offset by battery efficiency losses (2.0 TWh) Total coal generation is not affected CO2 emissions do not decline Batteries could have value for other reasons outside scope of study: Local transmission congestion, ancillary services… Other things can do before be concerned about storage

Low and high hydro years impact production cost and CO2 emissions, but do not seriously handicap RE integration 100 GW SOLAR, 60 GW WIND Normal operations Increased hydro output (+ 9.8% hydro generation) Decreased hydro output (- 10.7% hydro generation) Production cost (230,000 crore) - 1.9% + 2.3% Coal generation (1000 TWh) - 1.7% + 1.7% CO2 emissions (1,100 MMT ) - 1.6% RE curtailment (1.4%) 1.4% RE curtailment Other things can do before be concerned about storage

Priority Takeaways India’s power system has significant latent physical flexibility to integrate 175 GW RE with existing plans Harnessing this flexibility is the key challenge. Need appropriate regulations, markets, incentives... For example, consider ways at the state level to compensate coal plants for operating flexibly Additional planning could identify optimal locations for new RE and associated inter- and intrastate transmission Communicate orally: 1) We did not find a need for new fast-ramping infrastructure like natural gas 4) Preview of regional study Source: NREL PIX 19498

Next steps for NREL’s grid integration work in India Complementary studies: System stability Solar park analyses Capacity expansion modeling with CEA Production cost modeling that included imports/exports with Nepal, Bangladesh, Bhutan, Sri Lanka Analyses for Greening the Grid pilots Demand Response of Bangalore 2030 production cost study