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Optimized scheduling of hydropower with increase in solar and wind installations

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  • Gupta, Akshita
  • Kumar, Arun
  • Khatod, Dheeraj Kumar

Abstract

The existing hydropower plants that were built to serve the base load in the past are now made to run as stand-by units to take up the variation in generation caused due to the increasing solar and wind energy in the grid. This reduces the generation as well as the revenue of these plants and creating a conflict of interest between generating companies and system operators. Thus, arising a need to revise the operating policies of existing hydropower plants, not only for the present capacities of solar and wind but also taking future additions into the account. This problem is taken up in this study on behalf of the state power generating company for their existing hydropower plants. The optimization is carried out using two algorithms, i.e. non-linear optimization and logical optimization. The optimization results provide certain operational observations on many powerhouses, following which the generation could be increased without any additional investment. The algorithms when used for the future additions of solar, wind and thermal, is found to be quite sensitive to the reservoir inflow data. The critical comparison of the used algorithms reveals that rule of thumb can also perform very well when compared with the true optimization.

Suggested Citation

  • Gupta, Akshita & Kumar, Arun & Khatod, Dheeraj Kumar, 2019. "Optimized scheduling of hydropower with increase in solar and wind installations," Energy, Elsevier, vol. 183(C), pages 716-732.
    • Handle: RePEc:eee:energy:v:183:y:2019:i:c:p:716-732
    DOI: 10.1016/j.energy.2019.06.112
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    1. Pan Liu & Shenglian Guo & Xiaowei Xu & Jionghong Chen, 2011. "Derivation of Aggregation-Based Joint Operating Rule Curves for Cascade Hydropower Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3177-3200, October.
    2. Wolfgang, Ove & Haugstad, Arne & Mo, Birger & Gjelsvik, Anders & Wangensteen, Ivar & Doorman, Gerard, 2009. "Hydro reservoir handling in Norway before and after deregulation," Energy, Elsevier, vol. 34(10), pages 1642-1651.
    3. Argyrou, Maria C. & Christodoulides, Paul & Kalogirou, Soteris A., 2018. "Energy storage for electricity generation and related processes: Technologies appraisal and grid scale applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 804-821.
    4. Førsund, Finn R. & Singh, Balbir & Jensen, Trond & Larsen, Cato, 2008. "Phasing in wind-power in Norway: Network congestion and crowding-out of hydropower," Energy Policy, Elsevier, vol. 36(9), pages 3514-3520, September.
    5. Garcia-Gonzalez, Javier & Parrilla, Ernesto & Mateo, Alicia, 2007. "Risk-averse profit-based optimal scheduling of a hydro-chain in the day-ahead electricity market," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1354-1369, September.
    6. Yuan, Xiaohui & Yuan, Yanbin & Zhang, Yongchuan, 2002. "A hybrid chaotic genetic algorithm for short-term hydro system scheduling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(4), pages 319-327.
    7. Sharma, R.N. & Chand, Narottam & Sharma, Veena & Yadav, Deepika, 2015. "Decision support system for operation, scheduling and optimization of hydro power plant in Jammu and Kashmir region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1099-1113.
    8. Catalão, J.P.S. & Pousinho, H.M.I. & Contreras, J., 2012. "Optimal hydro scheduling and offering strategies considering price uncertainty and risk management," Energy, Elsevier, vol. 37(1), pages 237-244.
    9. Su, Yufei & Kern, Jordan D. & Characklis, Gregory W., 2017. "The impact of wind power growth and hydrological uncertainty on financial losses from oversupply events in hydropower-dominated systems," Applied Energy, Elsevier, vol. 194(C), pages 172-183.
    10. Nazari-Heris, M. & Mohammadi-Ivatloo, B. & B. Gharehpetian, G., 2017. "Short-term scheduling of hydro-based power plants considering application of heuristic algorithms: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 116-129.
    11. Kern, Jordan D. & Patino-Echeverri, Dalia & Characklis, Gregory W., 2014. "An integrated reservoir-power system model for evaluating the impacts of wind integration on hydropower resources," Renewable Energy, Elsevier, vol. 71(C), pages 553-562.
    12. Hongling, Liu & Chuanwen, Jiang & Yan, Zhang, 2008. "A review on risk-constrained hydropower scheduling in deregulated power market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1465-1475, June.
    13. Dujardin, Jérôme & Kahl, Annelen & Kruyt, Bert & Bartlett, Stuart & Lehning, Michael, 2017. "Interplay between photovoltaic, wind energy and storage hydropower in a fully renewable Switzerland," Energy, Elsevier, vol. 135(C), pages 513-525.
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