Renewable Energy Storage Solutions for Grid Stability in High Solar Penetration Regions

Authors

  • Bruno Mendes Department of Environmental Science and Sustainability, Iberian University Center for Environmental Sustainability, Spain Author
  • Eszter Makela Department of Environmental Science and Sustainability, Danube University Center for Climate Policy, Slovakia Author
  • Pierre Solberg Department of Atmospheric Science and Meteorology, Nordic Institute of Climate and Ecology, Finland Author

DOI:

https://doi.org/10.5281/zenodo.22813356

Keywords:

grid-scale battery storage, pumped-hydro storage, duck curve, solar curtailment, frequency response, techno-economic analysis, renewable integration, California ISO

Abstract

High solar photovoltaic penetration reshapes the net-load profile of a power system, compressing midday demand
and forcing steep evening ramps that conventional generation fleets are increasingly ill-suited to follow. We present
a techno-economic and grid-operations analysis of storage solutions for maintaining stability in power systems with
solar penetration above 25% of annual generation, using the California Independent System Operator (CAISO)
balancing area over 2015-2023 as our primary case study, supplemented by comparative operating data from the
South Australian region of the Australian National Electricity Market. We combine a production-cost dispatch model,
calibrated against nine years of five-minute CAISO net-load and curtailment records, with a
levelized-cost-of-storage framework applied to lithium-ion battery, pumped-hydro, and vanadium redox flow storage
options at durations of two, four, and eight hours. Across the deployment range we modeled (0-15 GW of battery
capacity added to the 2023 CAISO fleet), four-hour lithium-ion batteries reduced curtailed utility-scale solar energy
from a 2023 baseline of 2.6 million MWh to a simulated 0.9 million MWh at 10 GW of added capacity, a 65%
reduction, while cutting the steepest three-hour evening net-load ramp by a median of 38%. Marginal curtailment
avoided per added GW of storage declined sharply beyond roughly 8 GW, consistent with diminishing returns as
storage saturates the available midday surplus. Eight-hour durations avoided more curtailment per unit of power
capacity but at a 55-70% higher levelized cost per MWh cycled than four-hour systems under our central cost
assumptions. Pumped hydro, where geographically available, matched or exceeded battery cost-effectiveness at
eight-hour and longer durations but offered materially slower frequency-response ramp rates than battery systems,
a difference that mattered in our sub-hourly frequency simulations even though it barely registered in the daily
curtailment accounting. We conclude that battery storage is currently the most flexible tool for daily duck-curve
management and fast frequency response, that its marginal value erodes as deployment scales, and that storage
alone, without complementary transmission expansion, demand flexibility, or export capacity, cannot fully resolve
overgeneration risk once solar penetration substantially exceeds the levels examined here.

References

Denholm P, O'Connell M, Brinkman G, Jorgenson J (2015) Overgeneration from Solar Energy in California: A Field Guide to the Duck Chart. National Renewable Energy Laboratory Technical Report NREL/TP-6A20-65023. https://doi.org/10.2172/1226167

Denholm P, Margolis R (2007) Evaluating the limits of solar photovoltaics (PV) in traditional electric power systems. Energy Policy 35(9):4424-4433. https://doi.org/10.1016/j.enpol.2007.03.004

Denholm P, Hand M (2011) Grid flexibility and storage required to achieve very high penetration of variable renewable electricity. Energy Policy 39(3):1817-1830. https://doi.org/10.1016/j.enpol.2011.01.019

Dunn B, Kamath H, Tarascon JM (2011) Electrical energy storage for the grid: a battery of choices. Science 334(6058):928-935. https://doi.org/10.1126/science.1212741

Beaudin M, Zareipour H, Schellenberglabe A, Rosehart W (2010) Energy storage for mitigating the variability of renewable electricity sources: an updated review. Energy for Sustainable Development 14(4):302-314. https://doi.org/10.1016/j.esd.2010.09.007

Luo X, Wang J, Dooner M, Clarke J (2015) Overview of current development in electrical energy storage technologies and the application potential in power system operation. Applied Energy 137:511-536. https://doi.org/10.1016/j.apenergy.2014.09.081

Rahman MM, Oni AO, Gemechu E, Kumar A (2020) Assessment of energy storage technologies: a review. Energy Conversion and Management 223:113295. https://doi.org/10.1016/j.enconman.2020.113295

Schmidt O, Hawkes A, Gambhir A, Staffell I (2017) The future cost of electrical energy storage based on experience rates. Nature Energy 2:17110. https://doi.org/10.1038/nenergy.2017.110

Ziegler MS, Trancik JE (2021) Re-examining rates of lithium-ion battery technology improvement and cost decline. Energy & Environmental Science 14:1635-1651. https://doi.org/10.1039/D0EE02681F

Elliston B, MacGill I, Diesendorf M (2013) Least cost 100% renewable electricity scenarios in the Australian National Electricity Market. Energy Policy 59:270-282. https://doi.org/10.1016/j.enpol.2013.03.038

Ela E, Gevorgian V, Fleming P, Zhang YC, Singh M, Muljadi E, Scholbrock A, Aho J, Buckspan A, Pao L, Singhvi V, Tuohy A, Pourbeik P, Brooks D, Bhatt N (2014) Active Power Controls from Wind Power: Bridging the Gaps. National Renewable Energy Laboratory Technical Report NREL/TP-5D00-60574. https://doi.org/10.2172/1130985

Hirth L (2013) The market value of variable renewables: the effect of solar wind power variability on their relative price. Energy Economics 38:218-236. https://doi.org/10.1016/j.eneco.2013.02.004

Sioshansi R, Denholm P, Jenkin T, Weiss J (2009) Estimating the value of electricity storage in PJM: arbitrage and some welfare effects. Energy Economics 31(2):269-277. https://doi.org/10.1016/j.eneco.2008.10.005

Mongird K, Fotedar V, Viswanathan V, Koritarov V, Balducci P, Hadjerioua B, Alam J (2019) Energy Storage Technology and Cost Characterization Report. Pacific Northwest National Laboratory Technical Report PNNL-28866. https://doi.org/10.2172/1573487

Zerrahn A, Schill WP, Kemfert C (2018) On the economics of electrical storage for variable renewable energy sources. European Economic Review 108:259-279. https://doi.org/10.1016/j.euroecorev.2018.07.004

Rehman S, Al-Hadhrami LM, Alam MM (2015) Pumped hydro energy storage system: a technological review. Renewable and Sustainable Energy Reviews 44:586-598. https://doi.org/10.1016/j.rser.2014.12.040

Barbour E, Wilson IAG, Radcliffe J, Ding Y, Li Y (2016) A review of pumped hydro energy storage development in significant international electricity markets. Renewable and Sustainable Energy Reviews 61:421-432. https://doi.org/10.1016/j.rser.2016.04.019

Ela E, Milligan M, Kirby B (2011) Operating Reserves and Variable Generation. National Renewable Energy Laboratory Technical Report NREL/TP-5500-51978. https://doi.org/10.2172/1023095

Xu B, Oudalov A, Ulbig A, Andersson G, Kirschen DS (2018) Modeling of lithium-ion battery degradation for cell life assessment. IEEE Transactions on Smart Grid 9(2):1131-1140. https://doi.org/10.1109/TSG.2016.2578950

Fu R, Remo T, Margolis R (2018) 2018 U.S. Utility-Scale Photovoltaics-Plus-Energy Storage System Costs Benchmark. National Renewable Energy Laboratory Technical Report NREL/TP-6A20-71714. https://doi.org/10.2172/1483193

Craig MT, Jaramillo P, Hodge BM (2018) Carbon dioxide emissions effects of grid-scale electricity storage in a decarbonizing power system. Environmental Research Letters 13(1):014004. https://doi.org/10.1088/1748-9326/aa9a78

Bistline JE, Young DT (2020) Emissions impacts of future battery storage deployment on regional power grids. Environmental Research Letters 15(4):044028. https://doi.org/10.1088/1748-9326/ab8047

Frazier AW, Cole W, Denholm P, Machen S, Gates N, Blair N (2021) Assessing the potential of battery storage as a peaking capacity resource in the United States. Applied Energy 283:116442. https://doi.org/10.1016/j.apenergy.2020.116442

Eyer J, Corey G (2010) Energy Storage for the Electricity Grid: Benefits and Market Potential Assessment Guide. Sandia National Laboratories Report SAND2010-0815. https://doi.org/10.2172/1031895

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Published

2025-06-11