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Flexibility evaluation of wind-PV-hydro multi-energy complementary base considering the compensation ability of cascade hydropower stations

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  • Zhao, Mingzhe
  • Wang, Yimin
  • Wang, Xuebin
  • Chang, Jianxia
  • Chen, Yunhua
  • Zhou, Yong
  • Guo, Aijun

Abstract

The widespread expansion of renewable energy, like wind and photovoltaic (PV), increases the importance of power system flexibility. Quantify the balance between the flexibility supply of hydropower and the flexibility demand of wind-PV power is the key to the planning and development of multi-energy complementary system. Based on the power system flexibility balance principle, a novel flexibility evaluation method is proposed for watershed-type wind-PV-hydro multi-energy complementary bases (WMCB) considering the complementary characteristics of cascade hydropower stations. First, the wind and PV power capacity ratio are determined by complementarity index, and the timing production simulation model are used to determine the wind-PV-hydro power output to calculate the flexible supply. And the flexibility demand is calculated by the combined bias distribution of the wind-PV power output states. Then, the flexibility margin distribution is calculated by the convolution difference, and loss of flexibility probability (LOFP), loss of flexibility expectation (LOFE), and flexibility demand shortage (FDS) indices are used to measure various aspects of the WMCB system flexibility margin. Finally, the relationship is established between the wind-PV power capacity and system flexibility margin indices, and the impact of wind-PV power capacity improvement on the system flexibility margin is analyzed. To verify the feasibility of the method, the WMCB of the downstream Yalong River basin is taken as a case study, and 21 wind-PV power capacity scenarios are set as the comparative schemes. The case study results indicate that the wind and PV power capacity rate should be 0.43:0.57. The suitable wind-PV power developing capacity of the WMCB should be 12.7 GW to 14.7 GW without other flexibility resources. And the developing development potential of wind-PV power capacity would reach about 22.0 GW with 1600 MW upward flexibility resources and 850 MW downward flexibility resources. This study provides a novel method framework for the flexibility analysis of the wind-PV-hydro power systems and provides a valuable reference for the planning and design of WMCBs.

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  • Zhao, Mingzhe & Wang, Yimin & Wang, Xuebin & Chang, Jianxia & Chen, Yunhua & Zhou, Yong & Guo, Aijun, 2022. "Flexibility evaluation of wind-PV-hydro multi-energy complementary base considering the compensation ability of cascade hydropower stations," Applied Energy, Elsevier, vol. 315(C).
    • Handle: RePEc:eee:appene:v:315:y:2022:i:c:s0306261922004299
    DOI: 10.1016/j.apenergy.2022.119024
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    1. Zhang, Juntao & Cheng, Chuntian & Yu, Shen & Wu, Huijun & Gao, Mengping, 2021. "Sharing hydropower flexibility in interconnected power systems: A case study for the China Southern power grid," Applied Energy, Elsevier, vol. 288(C).
    2. Child, Michael & Kemfert, Claudia & Bogdanov, Dmitrii & Breyer, Christian, 2019. "Flexible electricity generation, grid exchange and storage for the transition to a 100% renewable energy system in Europe," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 139, pages 80-101.
    3. Li, Pei-Hao & Pye, Steve, 2018. "Assessing the benefits of demand-side flexibility in residential and transport sectors from an integrated energy systems perspective," Applied Energy, Elsevier, vol. 228(C), pages 965-979.
    4. Narayanan, Arun & Mets, Kevin & Strobbe, Matthias & Develder, Chris, 2019. "Feasibility of 100% renewable energy-based electricity production for cities with storage and flexibility," Renewable Energy, Elsevier, vol. 134(C), pages 698-709.
    5. Kondziella, Hendrik & Bruckner, Thomas, 2016. "Flexibility requirements of renewable energy based electricity systems – a review of research results and methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 10-22.
    6. Li, Yanxue & Zhang, Xiaoyi & Gao, Weijun & Ruan, Yingjun, 2020. "Capacity credit and market value analysis of photovoltaic integration considering grid flexibility requirements," Renewable Energy, Elsevier, vol. 159(C), pages 908-919.
    7. Xinshuo Zhang & Guangwen Ma & Weibin Huang & Shijun Chen & Shuai Zhang, 2018. "Short-Term Optimal Operation of a Wind-PV-Hydro Complementary Installation: Yalong River, Sichuan Province, China," Energies, MDPI, vol. 11(4), pages 1-19, April.
    8. Xiong, Bobby & Predel, Johannes & Crespo del Granado, Pedro & Egging-Bratseth, Ruud, 2021. "Spatial flexibility in redispatch: Supporting low carbon energy systems with Power-to-Gas," Applied Energy, Elsevier, vol. 283(C).
    9. Panos, Evangelos & Kober, Tom & Wokaun, Alexander, 2019. "Long term evaluation of electric storage technologies vs alternative flexibility options for the Swiss energy system," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    10. Wang, Xuebin & Chang, Jianxia & Meng, Xuejiao & Wang, Yimin, 2018. "Short-term hydro-thermal-wind-photovoltaic complementary operation of interconnected power systems," Applied Energy, Elsevier, vol. 229(C), pages 945-962.
    11. Huang, Kangdi & Liu, Pan & Ming, Bo & Kim, Jong-Suk & Gong, Yu, 2021. "Economic operation of a wind-solar-hydro complementary system considering risks of output shortage, power curtailment and spilled water," Applied Energy, Elsevier, vol. 290(C).
    12. Chloi Syranidou & Jochen Linssen & Detlef Stolten & Martin Robinius, 2020. "Integration of Large-Scale Variable Renewable Energy Sources into the Future European Power System: On the Curtailment Challenge," Energies, MDPI, vol. 13(20), pages 1-23, October.
    13. Hou, Qingchun & Zhang, Ning & Du, Ershun & Miao, Miao & Peng, Fei & Kang, Chongqing, 2019. "Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China," Applied Energy, Elsevier, vol. 242(C), pages 205-215.
    14. Ali, Syed Muhammad Hassan & Lenzen, Manfred & Sack, Fabian & Yousefzadeh, Moslem, 2020. "Electricity generation and demand flexibility in wastewater treatment plants: Benefits for 100% renewable electricity grids," Applied Energy, Elsevier, vol. 268(C).
    15. Heggarty, Thomas & Bourmaud, Jean-Yves & Girard, Robin & Kariniotakis, Georges, 2019. "Multi-temporal assessment of power system flexibility requirement," Applied Energy, Elsevier, vol. 238(C), pages 1327-1336.
    16. Wang, Qin & Wu, Hongyu & Florita, Anthony R. & Brancucci Martinez-Anido, Carlo & Hodge, Bri-Mathias, 2016. "The value of improved wind power forecasting: Grid flexibility quantification, ramp capability analysis, and impacts of electricity market operation timescales," Applied Energy, Elsevier, vol. 184(C), pages 696-713.
    17. Kaur, Amanpreet & Nonnenmacher, Lukas & Coimbra, Carlos F.M., 2016. "Net load forecasting for high renewable energy penetration grids," Energy, Elsevier, vol. 114(C), pages 1073-1084.
    18. Bampoulas, Adamantios & Saffari, Mohammad & Pallonetto, Fabiano & Mangina, Eleni & Finn, Donal P., 2021. "A fundamental unified framework to quantify and characterise energy flexibility of residential buildings with multiple electrical and thermal energy systems," Applied Energy, Elsevier, vol. 282(PA).
    19. Amaral Lopes, Rui & Grønborg Junker, Rune & Martins, João & Murta-Pina, João & Reynders, Glenn & Madsen, Henrik, 2020. "Characterisation and use of energy flexibility in water pumping and storage systems," Applied Energy, Elsevier, vol. 277(C).
    20. Ji, Haoran & Wang, Chengshan & Li, Peng & Song, Guanyu & Yu, Hao & Wu, Jianzhong, 2019. "Quantified analysis method for operational flexibility of active distribution networks with high penetration of distributed generators," Applied Energy, Elsevier, vol. 239(C), pages 706-714.
    21. Olsen, Karen Pardos & Zong, Yi & You, Shi & Bindner, Henrik & Koivisto, Matti & Gea-Bermúdez, Juan, 2020. "Multi-timescale data-driven method identifying flexibility requirements for scenarios with high penetration of renewables," Applied Energy, Elsevier, vol. 264(C).
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