Abstract
Integration of renewable energy sources (RES) to the grid comes with its own set of challenges like overgeneration, limited frequency regulation capabilities, lack of flexibility of the generation, and voltage fluctuation due to the intermittent nature of generation. All these issues are even more pronounced when the generation mix is slightly leaning towards the Solar generation. With much of the load taken up by RES, the net load suffers a huge valley during the noon followed by the steep ramp in the evening. This phenomenon is termed as the duck curve because the graph looks like a sitting duck. In this paper, the load profile of the present Indian grid scenario has been considered to highlight the issue of the duck curve. Using this curve various strategies have been proposed to handle the issue of the duck curve and the results of the implementation of these strategies have been presented to highlight the importance of these strategies to handle the duck curve. Furthermore, TOPSIS a multi-criteria decision making framework has been utilized in this paper to rank the various strategies used in the mitigation of the Duck curve.
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References
Abdel-Basset M, Gamal A, Chakrabortty RK, Ryan M (2021) A new hybrid multi-criteria decision-making approach for location selection of sustainable offshore wind energy stations: a case study. J Clean Prod 280:124462. https://doi.org/10.1016/j.jclepro.2020.124462
Abdollahi S, Madadi M, Ostad-Ali-Askari K (2021) Monitoring and investigating dust phenomenon on using remote sensing science, geographical information system and statistical methods. Appl Water Sci 11(7):1–14. https://doi.org/10.1007/s13201-021-01419-z
Ahmed MI, Kumar R (2022) A systematic review on optimal placement of CHP. Smart Sci. https://doi.org/10.1080/23080477.2022.2063528
Alsayed M, Cacciato M, Scarcella G, Scelba G (2014) Design of hybrid power generation systems based on multi criteria decision analysis. Sol Energy 105:548–560. https://doi.org/10.1016/j.solener.2014.03.011
Argent Solar (2018) West-facing solar mean more money in your pockets
Azhar NA, Radzi NAM, Ahmad WSHMW (2021) Multi-criteria decision making: a systematic review. Recent Adv Electr Electron Eng (former Recent Patents Electr Electron Eng) 14(8):779–801. https://doi.org/10.2174/2352096514666211029112443
Banerjee R, Marshall F (2017) Energy transitions in India: A what is an energy transition?, pp 1–45
Bansal MK, Garg P, Gupta N, Agarwal M (2021) Optimal placement of renewable energy based distributed generation units using MCDM technique. Int J Math Eng Manag Sci 6(4):1199–1213. https://doi.org/10.33889/IJMEMS.2021.6.4.072
Bohra SS, Anvari-Moghaddam A, Mohammadi-Ivatloo B (2019) AHP-assisted multi-criteria decision-making model for planning of microgrids. IECON Proc (ind Electron Conf) 2019:4557–4562. https://doi.org/10.1109/IECON.2019.8926887
Calero I, Cañizares CA, Bhattacharya K, Baldick R (2022) Duck-curve mitigation in power grids with high penetration of PV generation. IEEE Trans Smart Grid 13(1):314–329. https://doi.org/10.1109/TSG.2021.3122398
Chakravorty S, Ghosh S (2009) Power distribution planning using multi-criteria decision making method. Int J Comput Electr Eng 1(5):596–601. https://doi.org/10.7763/ijcee.2009.v1.92
Chaudhary P, Rizwan M (2018) Energy management supporting high penetration of solar photovoltaic generation for smart grid using solar forecasts and pumped hydro storage system. Renew Energy 118(April):928–946. https://doi.org/10.1016/j.renene.2017.10.113
Colmenar-Santos A, Muñoz-Gómez AM, Rosales-Asensio E, López-Rey Á (2019) Electric vehicle charging strategy to support renewable energy sources in Europe 2050 low-carbon scenario. Energy 183:61–74. https://doi.org/10.1016/j.energy.2019.06.118
Daim TU, Bhatla A, Mansour M (2013) Site selection for a data centre—a multi-criteria decision-making model. Int J Sustain Eng 6(1):10–22. https://doi.org/10.1080/19397038.2012.719554
Dall E, Muller GH, Bailey F, Jagau R, Pfohl AR, Swart J, Caballos JMS (2019) CSP in Namibia—Solution to the ‘duck curve’? AIP Conf Proc. DOI 10(1063/1):5117595
Dehshiri H, Shahabaddin S (2022) New hybrid multi criteria decision making method for offshore windfarm site location in Persian Gulf, Iran. Ocean Eng 256(May):111498. https://doi.org/10.1016/j.oceaneng.2022.111498
Díaz H, Guedes Soares C (2022) A novel multi-criteria decision-making model to evaluate floating wind farm locations. Renew Energy 185:431–454. https://doi.org/10.1016/j.renene.2021.12.014
Dutta W (2021) Design of a coordinated electric vehicle charging system to flatten the duck curve. In: 2021 International conference on science and contemporary technologies, ICSCT 2021, pp 1–6. https://doi.org/10.1109/ICSCT53883.2021.9642591
Elboshy B, Alwetaishi M, Aly RMH, Zalhaf AS (2022) A suitability mapping for the PV solar farms in Egypt based on GIS-AHP to optimize multi-criteria feasibility. Ain Shams Eng J 13(3):101618. https://doi.org/10.1016/j.asej.2021.10.013
Erbaş M, Kabak M, Özceylan E, Çetinkaya C (2018) Optimal siting of electric vehicle charging stations: a GIS-based fuzzy multi-criteria decision analysis. Energy 163:1017–1031. https://doi.org/10.1016/j.energy.2018.08.140
Esmaeili A, Kahnali RA, Rostamzadeh R, Zavadskas EK, Sepahvand A (2014) The formulation of organizational strategies through integration of Freeman model, SWOT, and fuzzy MCDM methods: a case study of oil industry. Transform Bus Econ 13(3C):602–627
Le Floch C, Belletti F, Moura S (2016) Optimal charging of electric vehicles for load shaping: a dual-splitting framework with explicit convergence bounds. IEEE Trans Transp Electrif 2(2):190–199. https://doi.org/10.1109/TTE.2016.2531025
Gandhi O, Kumar DS, Rodríguez-Gallegos CD, Srinivasan D (2020) Review of power system impacts at high PV penetration part I: factors limiting PV penetration. Sol Energy 210:181–201. https://doi.org/10.1016/j.solener.2020.06.097
Gaur K, Kumar H, Agarwal RPK, Baba KVS, Soonee SK (2016) Analysing the electricity demand pattern. In: 2016 National Power Systems Conference (NPSC), Bhubaneswar, India. pp 1–6. https://doi.org/10.1109/NPSC.2016.7858969
Haider R (2021) Flatteniin the duck curve a case for distributed decision making.Pdf. https://doi.org/10.48550/arXiv.2111.06361
Hou Q, Zhang N, Ershun Du, Miao M, Peng F, Kang C (2019) Probabilistic duck curve in high PV penetration power system: concept, modeling, and empirical analysis in China. Appl Energy 242(February):205–215. https://doi.org/10.1016/j.apenergy.2019.03.067
Huang H, Li F (2015) Bidding strategy for wind generation considering conventional generation and transmission constraints. J Mod Power Syst Clean Energy 3(1):51–62. https://doi.org/10.1007/s40565-015-0100-8
Jovanovic R, Bayhan S, Bayram IS (2021) A multiobjective analysis of the potential of scheduling electrical vehicle charging for flattening the duck curve. J Comput Sci 48:101262. https://doi.org/10.1016/j.jocs.2020.101262
Julianto P, Soeprijanto A, Mardlijah (2020) Dynamic economic load dispatch by introducing compressed air energy storage for solving duck curve. In: Proceedings—2020 international seminar on intelligent technology and its application: humanification of reliable intelligent systems, ISITIA 2020, pp 129–134. https://doi.org/10.1109/ISITIA49792.2020.9163698
Kalair AR, Abas N, Seyedmahmoudian M, Rauf S, Stojcevski A, Khan N (2021) Duck curve leveling in renewable energy integrated grids using internet of relays. J Clean Prod. https://doi.org/10.1016/j.jclepro.2021.126294
Kaya İ, Çolak M, Terzi F (2019) A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making. Energy Strat Rev 24(March):207–228. https://doi.org/10.1016/j.esr.2019.03.003
Krietemeyer B, Dedrick J, Sabaghian E, Rakha T (2021) Managing the duck curve: energy culture and participation in local energy management programs in the United States. Energy Res Soc Sci 79:102055. https://doi.org/10.1016/j.erss.2021.102055
Kumar P, Rathore S, Chauhan DS, Singh RP (2019) Decentralized solar rooftop photovoltaic in India: On the path of sustainable energy security. Renew Energy 131:297–307. https://doi.org/10.1016/j.renene.2018.07.049
Liu HC, Yang M, Zhou M, Tian G (2019) An integrated multi-criteria decision making approach to location planning of electric vehicle charging stations. IEEE Trans Intell Transp Syst 20(1):362–373. https://doi.org/10.1109/TITS.2018.2815680
Mcgrath M (2022). Climate change: ‘sand battery’ could solve green energy’s big problem.” BBC News
SM Mirbagheri, D Falabretti, M Merlo (2018) Voltage control in active distribution grids: a review and a new set-up procedure for local control laws, pp 1203–1208
Mondal S, De M (2021) A graph theoretic approach based capacitor placement in unbalanced distribution system. In: ICPS 2021—9th IEEE international conference on power systems: developments towards inclusive growth for sustainable and resilient grid. https://doi.org/10.1109/ICPS52420.2021.9670358
Nǎdǎban S, Dzitac S, Dzitac I (2016) Fuzzy TOPSIS: a general view. Procedia Comput Sci 91:823–831. https://doi.org/10.1016/j.procs.2016.07.088
NITIAYOG (2021) Turning around the power sector
Noorollahi Y, Senani AG, Fadaei A, Simaee M, Moltames R (2022) A framework for GIS-based site selection and technical potential evaluation of PV solar farm using fuzzy-Boolean logic and AHP multi-criteria decision-making approach. Renew Energy 186:89–104. https://doi.org/10.1016/j.renene.2021.12.124
Obi M, Bass R (2016) Trends and challenges of grid-connected photovoltaic systems—a review. Renew Sustain Energy Rev 58:1082–1094. https://doi.org/10.1016/j.rser.2015.12.289
Olczak P, Jaśko P, Kryzia D, Matuszewska D, Fyk MI, Dyczko A (2021) Analyses of duck curve phenomena potential in polish PV prosumer households’ installations. Energy Rep 7:4609–4622. https://doi.org/10.1016/j.egyr.2021.07.038
Olivella-Rosell P, Lloret-Gallego P, Munné-Collado Í, Villafafila-Robles R, Sumper A, Ottessen SØ, Rajasekharan J, Bremdal BA (2018) Local flexibility market design for aggregators providing multiple flexibility services at distribution network level. Energies. https://doi.org/10.3390/en11040822
Ostad-Ali-Askari K (2022) Management of risks substances and sustainable development. Appl Water Sci 12(4):1–23. https://doi.org/10.1007/s13201-021-01562-7
Pandey W, Harsh RK, Mandal RK (2022) Transformation of Indian distribution sector: opportunity and challenges for unlocking the demand response potential. Renew Energy Focus 42(July):221–235. https://doi.org/10.1016/j.ref.2022.06.008
Patel S, Meer S, Murari K (2022) Distributed control of distributed energy resources in active power distribution system for local power balance with optimal spectral clustering. IEEE Trans Ind Appl 9994:1–14. https://doi.org/10.1109/TIA.2022.3172391
Pillalamarri P (n.d.) The key to India’s energy future
Pirnazar M, Hasheminasab H, Karimi AZ, Ostad-Ali-Askari K, Ghasemi Z, Haeri-Hamedani M, Mohri-Esfahani E, Eslamian S (2018) The evaluation of the usage of the fuzzy algorithms in increasing the accuracy of the extracted land use maps. Int J Global Environ Issues 17(4):307–321. https://doi.org/10.1504/IJGENVI.2018.095063
Pitra GM, Sastry Musti KS (2021) Duck curve with renewable energies and storage technologies. In: 2021 13th International conference on computational intelligence and communication networks (CICN), pp 66–71. IEEE. https://doi.org/10.1109/CICN51697.2021.9574671
Ponnaganti P, Pillai JR, Bak-Jensen B (2018) Opportunities and challenges of demand response in active distribution networks. Wiley Interdiscip Rev Energy Environ. https://doi.org/10.1002/wene.271
Ramesh A, Ostad-Ali-Askari K (2023) Effect of effluent and magnetized effluent on manning roughness coefficient in furrow irrigation. Appl Water Sci 13(1):1–10. https://doi.org/10.1007/s13201-022-01818-w
Rood D (2018) The solar duck curve and sustainable storage options: a policy recommendation
Sharma V, Aziz SM, Haque MH (2020) MH Haque (2020) Effects of high solar photovoltaic penetration on distribution feeders and the economic impact. Renew Sustain Energy Rev 131:110021. https://doi.org/10.1016/j.rser.2020.110021
Shayannejad M, Ghobadi M, Ostad-Ali-Askari K (2022) Modeling of surface flow and infiltration during surface irrigation advance based on numerical solution of Saint-Venant equations using Preissmann’s scheme. Pure Appl Geophys 179(3):1103–1113. https://doi.org/10.1007/s00024-022-02962-9
Sheha M, Mohammadi K, Powell K (2020) Solving the duck curve in a smart grid environment using a non-cooperative game theory and dynamic pricing profiles. Energy Convers Manag 220:113102. https://doi.org/10.1016/j.enconman.2020.113102
Silva BN, Khan M, Han K (2020) Futuristic sustainable energy management in smart environments: a review of peak load shaving and demand response strategies, challenges, and opportunities. Sustainability (switzerland) 12(14):1–23. https://doi.org/10.3390/su12145561
Singh PN, Meena K, Yang J, Vega-Fuentes E, Bishnoi SK (2020) Multi-criteria decision making monarch butterfly optimization for optimal distributed energy resources mix in distribution networks. Appl Energy 278:115723. https://doi.org/10.1016/j.apenergy.2020.115723
Sockeel N, Srivastava SK, Futrell B, Cox R, Mazzola M (2021) Using electric water heater tanks as an energy storage solution to solve the duck curve issue. IECON Proc (ind Electron Conf). https://doi.org/10.1109/IECON48115.2021.9589918
Soonee SK et al (2019) Renewable energy integration in India: present state and long-term perspective. In: 2019 IEEE milan powertech, Milan, Italy. pp 1–6. https://doi.org/10.1109/PTC.2019.8810779
Stocks M, Stocks R, Lu B, Cheng C, Blakers A (2021) Increasing the value of solar: the opportunity for bulk energy storage with pumped hydro in the USA. In: Conference record of the IEEE photovoltaic specialists conference, pp 586–889. https://doi.org/10.1109/PVSC43889.2021.9519042
Tauqeer HA, Saeed F, Yousuf MH, Ahmed H, Idrees A, Khan MH, Gelani HE (2021) Proposed model of sustainable resource management for smart grid utilization. World Electr Veh J. https://doi.org/10.3390/wevj12020070
Topalović Z, Haas R, Ajanović A, Hiesl A (2022) Economics of electric energy storage. The case of Western Balkans. Energy. https://doi.org/10.1016/j.energy.2021.121669
Uhlenhuth K (2017) To solve ‘ duck curve’, Missouri utility to pay bonus for west-facing solar panels
Wang Q, Chang P, Bai R, Liu W, Dai J, Tang Y (2019) Mitigation strategy for duck curve in high photovoltaic penetration power system using concentrating solar power station. Energies 12(18):3521. https://doi.org/10.3390/en12183521
Xing Y, Zhao H, Shen Z, Zhang L, Zhang Z, Li Q, Wu S (2021) Optimal coordinated energy management in active distribution system with battery energy storage and price-responsive demand
Zheng H, Zhang Y, Zhao J, Liu J, Zeng Qi (2018) Applications of fuzzy multicriteria decision making to complex engineering problems. Adv Fuzzy Syst 2018:3–6. https://doi.org/10.1155/2018/4536234
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Pandey, H.W., Kumar, R. & Mandal, R.K. Ranking of mitigation strategies for duck curve in Indian active distribution network using MCDM. Int J Syst Assur Eng Manag 14, 1255–1275 (2023). https://doi.org/10.1007/s13198-023-01929-w
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DOI: https://doi.org/10.1007/s13198-023-01929-w