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Optimal dispatch schedule for the coordinated hydro-wind-photovoltaic system with non-priority output utilizing combined meta-heuristic

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  • Gan, Lu
  • Xiong, Qian
  • Chen, Xiuyun
  • Lin, Zhiyi
  • Jiang, Wen

Abstract

With rising power demand and stringent carbon emission regulations, renewable energy is gaining traction in the power grid. However, its acceptance is lower than that of fossil energy due to its inherent intermittency. This study is motivated by such challenges and seeks to overcome it by enabling electricity consumption through coordinated operation strategies for the hydro-wind-photovoltaic systems. To match electricity demand and maximize system power output, non-priority output scheduling should be used. This study presents a systematic nonlinear programming strategy coupled with a combined meta-heuristic approach. The programming aims to increase total power generation, control wasted power, and balance the fluctuation of fossil energy output. The programming makes use of the corresponding constraints for hydro, wind, and photovoltaic power generation. A scenario-based approach also considers the effects of seasonal meteorological factors on electricity output. To address NP-hard issues in complicated nonlinear programming, a hybrid cuckoo search technique and multiple objective particle swarm optimization are used. The combined meta-heuristic technique includes a flight and elimination mechanism to increase search capacity and accelerate convergence. The case study of a hydro-wind-photovoltaic system is then performed over a four-season scheduling horizon. The case supports the study's viability and efficacy. The findings demonstrate the developed methodology's ability to balance the three objectives. The optimal dispatch schedule is shown to reduce intermittency, ensure renewable energy acceptance, and then adjust the power source's installed capacity. This study's coordinated operation strategies promote a more efficient method of establishing MECS and help to reduce power grid risk.

Suggested Citation

  • Gan, Lu & Xiong, Qian & Chen, Xiuyun & Lin, Zhiyi & Jiang, Wen, 2025. "Optimal dispatch schedule for the coordinated hydro-wind-photovoltaic system with non-priority output utilizing combined meta-heuristic," Omega, Elsevier, vol. 131(C).
  • Handle: RePEc:eee:jomega:v:131:y:2025:i:c:s0305048324001634
    DOI: 10.1016/j.omega.2024.103198
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    References listed on IDEAS

    as
    1. Xu, Xiao & Hu, Weihao & Cao, Di & Huang, Qi & Chen, Cong & Chen, Zhe, 2020. "Optimized sizing of a standalone PV-wind-hydropower station with pumped-storage installation hybrid energy system," Renewable Energy, Elsevier, vol. 147(P1), pages 1418-1431.
    2. Xie, Kaigui & Dong, Jizhe & Singh, Chanan & Hu, Bo, 2016. "Optimal capacity and type planning of generating units in a bundled wind–thermal generation system," Applied Energy, Elsevier, vol. 164(C), pages 200-210.
    3. Zhang, Mengling & Jiao, Zihao & Ran, Lun & Zhang, Yuli, 2023. "Optimal energy and reserve scheduling in a renewable-dominant power system," Omega, Elsevier, vol. 118(C).
    4. Das, Utpal Kumar & Tey, Kok Soon & Seyedmahmoudian, Mehdi & Mekhilef, Saad & Idris, Moh Yamani Idna & Van Deventer, Willem & Horan, Bend & Stojcevski, Alex, 2018. "Forecasting of photovoltaic power generation and model optimization: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 912-928.
    5. Garðarsdóttir, Stefanía Ó. & Göransson, Lisa & Normann, Fredrik & Johnsson, Filip, 2018. "Improving the flexibility of coal-fired power generators: Impact on the composition of a cost-optimal electricity system," Applied Energy, Elsevier, vol. 209(C), pages 277-289.
    6. He, Li & Zhang, Shiyue & Chen, Yizhong & Ren, Lixia & Li, Jing, 2018. "Techno-economic potential of a renewable energy-based microgrid system for a sustainable large-scale residential community in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 631-641.
    7. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
    8. Wu, Xueqi & Che, Ada, 2020. "Energy-efficient no-wait permutation flow shop scheduling by adaptive multi-objective variable neighborhood search," Omega, Elsevier, vol. 94(C).
    9. Hocine, Amine & Kouaissah, Noureddine, 2020. "XOR analytic hierarchy process and its application in the renewable energy sector," Omega, Elsevier, vol. 97(C).
    10. Yin, Yue & Liu, Tianqi & He, Chuan, 2019. "Day-ahead stochastic coordinated scheduling for thermal-hydro-wind-photovoltaic systems," Energy, Elsevier, vol. 187(C).
    11. Ahmed, Ferdous & Al Amin, Abul Quasem & Hasanuzzaman, M. & Saidur, R., 2013. "Alternative energy resources in Bangladesh and future prospect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 698-707.
    12. Tang, Ningning & Zhang, Yuning & Niu, Yuguang & Du, Xiaoze, 2018. "Solar energy curtailment in China: Status quo, reasons and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 509-528.
    13. Juaidi, Adel & Montoya, Francisco G. & Gázquez, Jose A. & Manzano-Agugliaro, Francisco, 2016. "An overview of energy balance compared to sustainable energy in United Arab Emirates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1195-1209.
    14. Li, Canbing & Shi, Haiqing & Cao, Yijia & Wang, Jianhui & Kuang, Yonghong & Tan, Yi & Wei, Jing, 2015. "Comprehensive review of renewable energy curtailment and avoidance: A specific example in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1067-1079.
    15. Han, Shuang & Zhang, Lu-na & Liu, Yong-qian & Zhang, Hao & Yan, Jie & Li, Li & Lei, Xiao-hui & Wang, Xu, 2019. "Quantitative evaluation method for the complementarity of wind–solar–hydro power and optimization of wind–solar ratio," Applied Energy, Elsevier, vol. 236(C), pages 973-984.
    16. Zhang, Xinyue & Guo, Xiaopeng & Zhang, Xingping, 2023. "Bidding modes for renewable energy considering electricity-carbon integrated market mechanism based on multi-agent hybrid game," Energy, Elsevier, vol. 263(PA).
    17. Jordehi, A. Rezaee, 2015. "Optimisation of electric distribution systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1088-1100.
    18. Kwon, Soon-Duck, 2010. "Uncertainty analysis of wind energy potential assessment," Applied Energy, Elsevier, vol. 87(3), pages 856-865, March.
    19. Chen, J.J. & Zhuang, Y.B. & Li, Y.Z. & Wang, P. & Zhao, Y.L. & Zhang, C.S., 2017. "Risk-aware short term hydro-wind-thermal scheduling using a probability interval optimization model," Applied Energy, Elsevier, vol. 189(C), pages 534-554.
    20. Jiang, He & Wang, Jianzhou & Dong, Yao & Lu, Haiyan, 2015. "Comprehensive assessment of wind resources and the low-carbon economy: An empirical study in the Alxa and Xilin Gol Leagues of inner Mongolia, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1304-1319.
    21. Wang, K.Y. & Luo, X.J. & Wu, L. & Liu, X.C., 2013. "Optimal coordination of wind-hydro-thermal based on water complementing wind," Renewable Energy, Elsevier, vol. 60(C), pages 169-178.
    22. Hao, Peng & Guo, Jun-Peng & Chen, Yihsu & Xie, Bai-Chen, 2020. "Does a combined strategy outperform independent policies? Impact of incentive policies on renewable power generation," Omega, Elsevier, vol. 97(C).
    23. Wang, Xianxun & Virguez, Edgar & Xiao, Weihua & Mei, Yadong & Patiño-Echeverri, Dalia & Wang, Hao, 2019. "Clustering and dispatching hydro, wind, and photovoltaic power resources with multiobjective optimization of power generation fluctuations: A case study in southwestern China," Energy, Elsevier, vol. 189(C).
    24. Arslan, Hilal & Baltaci, Hakki & Akkoyunlu, Bulent Oktay & Karanfil, Salih & Tayanc, Mete, 2020. "Wind speed variability and wind power potential over Turkey: Case studies for Çanakkale and İstanbul," Renewable Energy, Elsevier, vol. 145(C), pages 1020-1032.
    25. Khennas, Smail, 2012. "Understanding the political economy and key drivers of energy access in addressing national energy access priorities and policies: African Perspective," Energy Policy, Elsevier, vol. 47(S1), pages 21-26.
    26. Li, Xue & Zhang, Rufeng & Bai, Linquan & Li, Guoqing & Jiang, Tao & Chen, Houhe, 2018. "Stochastic low-carbon scheduling with carbon capture power plants and coupon-based demand response," Applied Energy, Elsevier, vol. 210(C), pages 1219-1228.
    27. Gu, Yujiong & Xu, Jing & Chen, Dongchao & Wang, Zhong & Li, Qianqian, 2016. "Overall review of peak shaving for coal-fired power units in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 723-731.
    28. Iris, Çağatay & Lam, Jasmine Siu Lee, 2021. "Optimal energy management and operations planning in seaports with smart grid while harnessing renewable energy under uncertainty," Omega, Elsevier, vol. 103(C).
    29. Zhang, Yi & Sun, Hexu & Tan, Jianxin & Li, Zheng & Hou, Weimin & Guo, Yingjun, 2022. "Capacity configuration optimization of multi-energy system integrating wind turbine/photovoltaic/hydrogen/battery," Energy, Elsevier, vol. 252(C).
    30. Gebretsadik, Yohannes & Fant, Charles & Strzepek, Kenneth & Arndt, Channing, 2016. "Optimized reservoir operation model of regional wind and hydro power integration case study: Zambezi basin and South Africa," Applied Energy, Elsevier, vol. 161(C), pages 574-582.
    31. Chen, Fang & Zhou, Jianzhong & Wang, Chao & Li, Chunlong & Lu, Peng, 2017. "A modified gravitational search algorithm based on a non-dominated sorting genetic approach for hydro-thermal-wind economic emission dispatching," Energy, Elsevier, vol. 121(C), pages 276-291.
    32. Yang, Yuqi & Zhou, Jianzhong & Liu, Guangbiao & Mo, Li & Wang, Yongqiang & Jia, Benjun & He, Feifei, 2020. "Multi-plan formulation of hydropower generation considering uncertainty of wind power," Applied Energy, Elsevier, vol. 260(C).
    33. Baseer, M.A. & Meyer, J.P. & Alam, Md. Mahbub & Rehman, S., 2015. "Wind speed and power characteristics for Jubail industrial city, Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1193-1204.
    34. Pishgar-Komleh, S.H. & Keyhani, A. & Sefeedpari, P., 2015. "Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 313-322.
    35. Suresh K. Damodaran & T. K. Sunil Kumar, 2018. "Hydro-Thermal-Wind Generation Scheduling Considering Economic and Environmental Factors Using Heuristic Algorithms," Energies, MDPI, vol. 11(2), pages 1-19, February.
    36. Zhou, Sheng & Wang, Yu & Zhou, Yuyu & Clarke, Leon E. & Edmonds, James A., 2018. "Roles of wind and solar energy in China’s power sector: Implications of intermittency constraints," Applied Energy, Elsevier, vol. 213(C), pages 22-30.
    37. Lu Gan & Pengyan Jiang & Xiuyun Chen & Lin Hu, 2019. "Sustainable Optimization for China’s Hydropower Project Investment Portfolio Using Multiobjective Decision Analysis," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-19, September.
    38. Lee, Chien-Chiang & Hussain, Jafar & Chen, Yongxiu, 2022. "The optimal behavior of renewable energy resources and government's energy consumption subsidy design from the perspective of green technology implementation," Renewable Energy, Elsevier, vol. 195(C), pages 670-680.
    39. 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.
    40. Wang, Yadong & Mao, Jinqi & Chen, Fan & Wang, Delu, 2022. "Uncovering the dynamics and uncertainties of substituting coal power with renewable energy resources," Renewable Energy, Elsevier, vol. 193(C), pages 669-686.
    41. Nadjemi, O. & Nacer, T. & Hamidat, A. & Salhi, H., 2017. "Optimal hybrid PV/wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1352-1365.
    42. Lu Gan & Dirong Xu & Xiuyun Chen & Pengyan Jiang & Benjamin Lev & Zongmin Li, 2023. "Sustainable portfolio re-equilibrium on wind-solar-hydro system: An integrated optimization with combined meta-heuristic," Energy & Environment, , vol. 34(5), pages 1383-1408, August.
    43. Youcef Ettoumi, Fatiha & Adane, Abd El Hamid & Benzaoui, Mohamed Lassaad & Bouzergui, Nabila, 2008. "Comparative simulation of wind park design and siting in Algeria," Renewable Energy, Elsevier, vol. 33(10), pages 2333-2338.
    44. Bird, Lori & Lew, Debra & Milligan, Michael & Carlini, E. Maria & Estanqueiro, Ana & Flynn, Damian & Gomez-Lazaro, Emilio & Holttinen, Hannele & Menemenlis, Nickie & Orths, Antje & Eriksen, Peter Børr, 2016. "Wind and solar energy curtailment: A review of international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 577-586.
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