8 C D Jonghe et al Determining optimal electricity technology mix with high

8 c d jonghe et al determining optimal electricity

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[8] C. D. Jonghe et al. , “Determining optimal electricity technology mix with high level of wind power penetration,” Appl. Energy , vol. 88, no. 6, pp. 2231–2238, Jun. 2011.
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6252 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 33, NO. 6, NOVEMBER 2018 [9] P. Sullivan, K. Eurek, and R. Margolis, “Advanced methods for incorpo- rating solar energy technologies into electric sector capacity-expansion models: Literature review and analysis,” Nat. Renewable Energy Lab., Golden, CO, USA, Tech. Rep. NREL/TP-6A20-61185, 2014. [10] M. Welsch et al. , “Incorporating flexibility requirements into long-term energy system models–A case study on high levels of renewable elec- tricity penetration in Ireland,” Appl. Energy , vol. 135, pp. 600–615, Dec. 2014. [11] B. S. Palmintier and M. D. Webster, “Impact of operational flexibility on electricity generation planning with renewable and carbon targets,” IEEE Trans. Sustain. Energy , vol. 7, no. 2, pp. 672–684, Apr. 2016. [12] M. Carrion and J. Arroyo, “A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem,” IEEE Trans. Power Syst. , vol. 21, no. 3, pp. 1371–1378, Aug. 2006. [13] A. Shortt, J. Kiviluoma, and M. O’Malley, “Accommodating variability in generation planning,” IEEE Trans. Power Syst. , vol. 28, no. 1, pp. 158–169, Feb. 2013. [14] R. Golden and B. Paulos, “Curtailment of renewable energy in California and beyond,” Elect. J ., vol. 28, no. 6, pp. 36–50, Jul. 2015. [15] The Brattle Group, E3, BEAR, and Aspen, “Senate bill 350 study: The impacts of a regional ISO-operated power market on California,” Jul. 2016. [ Online ] . Available: SB350Study_AggregatedReport.pdf [16] Energy and Environmental Economics, Inc., “Investigating a higher re- newables portfolio standard in California,” Jan. 2014. [ Online ] . Available: port_2014_01_06_ExecutiveSummary-1.pdf [17] P. Poonpun and W. T. Jewell, “Analysis of the cost per kilowatt hour to store electricity,” IEEE Trans. Energy Convers. , vol. 23, no. 2, pp. 529– 534, Jun. 2008. [18] P. D. Brown, J. P. Lopes, and M. A. Matos, “Optimization of pumped storage capacity in an isolated power system with large renewable pen- etration,” IEEE Trans. Power Syst. , vol. 23, no. 2, pp. 523–531, May 2008. [19] E. Hajipour, M. Bozorg, and M. Fotuhi-Firuzabad, “Stochastic capacity expansion planning of remote microgrids with wind farms and energy storage,” IEEE Trans. Sustain. Energy , vol. 6, no. 2, pp. 491–498, Feb. 2015. [20] P. Yang and A. Nehorai, “Joint optimization of hybrid energy storage and generation capacity with renewable energy,” IEEE Trans. Smart Grid , vol. 5, no. 4, pp. 1566–1574, Jul. 2014. [21] M. Carrion and J. Arroyo, “A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem,” IEEE Trans. Power Syst. , vol. 21, no. 3, pp. 1371–1378, Aug. 2006. [22] A. van Stiphout, K. De Vos, and G. Deconinck, “The impact of operat- ing reserves on investment planning of renewable power systems,” IEEE Trans. Power Syst. , vol. 32, no. 1, pp. 378–388, Jan. 2017. [23] National Energy Administration, “China 13th wind energy develop- ment five year plan (2016-2020),” Nov. 16, 2016. [ Online ] . Available: [24] National Energy Administration, “China 13th solar energy develop- ment five year plan (2016-2020),” Dec. 8, 2016. [ Online ] . Available: [25] CASS Innovation Program, “China energy outlook (2015-2016),” Sep. 2015. [ Online ] . Available:
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