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Optimization of hydro energy storage plants by using differential evolution algorithm

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  • Glotić, Arnel
  • Glotić, Adnan
  • Kitak, Peter
  • Pihler, Jože
  • Tičar, Igor

Abstract

The optimal dispatching of cascade Hydro Power Plants is known as a complex optimization problem. In order to solve this problem the authors have applied an adapted differential evolution algorithm by using a fixed and dynamic population size. According to the dynamic population size, the proposed algorithm uses novel random and minimum to maximum sort strategy in order to create new populations with decreased or increased sizes. This implementation enables global search with fast convergence. It also uses a multi-core processor, where all the necessary optimization data are sent to the individual core of a central processing unit. The main aim of the optimization process is to satisfy 24 h demand by minimizing the water quantity used per electrical energy produced. This optimization process also satisfies the desired reservoir levels at the end of the day. The models used in this paper were the real parameters' models of eight cascade Hydro Power Plants located in Slovenia (Europe). Also the standard model from the literature is used in order to compare the performance of the adapted optimization algorithm.

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  • Glotić, Arnel & Glotić, Adnan & Kitak, Peter & Pihler, Jože & Tičar, Igor, 2014. "Optimization of hydro energy storage plants by using differential evolution algorithm," Energy, Elsevier, vol. 77(C), pages 97-107.
    • Handle: RePEc:eee:energy:v:77:y:2014:i:c:p:97-107
    DOI: 10.1016/j.energy.2014.05.004
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    2. Rivera-Lugo, Yazmín Y. & Salazar-Gastélum, Moisés I. & López-Rosas, Deisly M. & Reynoso-Soto, Edgar A. & Pérez-Sicairos, Sergio & Velraj, Samgopiraj & Flores-Hernández, José R. & Félix-Navarro, Rosa M, 2018. "Effect of template, reaction time and platinum concentration in the synthesis of PtCu/CNT catalyst for PEMFC applications," Energy, Elsevier, vol. 148(C), pages 561-570.
    3. Glotić, Arnel & Zamuda, Aleš, 2015. "Short-term combined economic and emission hydrothermal optimization by surrogate differential evolution," Applied Energy, Elsevier, vol. 141(C), pages 42-56.
    4. Wenhui Tian & Pascal da Costa & Jean-Claude Bocquet, 2015. "Inequalities of Sectors CO 2 emissions in China, USA and France, 2010-2050," Working Papers hal-01219769, HAL.
    5. Beltrán-Gastélum, M. & Salazar-Gastélum, M.I. & Félix-Navarro, R.M. & Pérez-Sicairos, S. & Reynoso-Soto, E.A. & Lin, S.W. & Flores-Hernández, J.R. & Romero-Castañón, T. & Albarrán-Sánchez, I.L. & Para, 2016. "Evaluation of PtAu/MWCNT (Multiwalled Carbon Nanotubes) electrocatalyst performance as cathode of a proton exchange membrane fuel cell," Energy, Elsevier, vol. 109(C), pages 446-455.
    6. Shang, Ce & Srinivasan, Dipti & Reindl, Thomas, 2016. "Generation-scheduling-coupled battery sizing of stand-alone hybrid power systems," Energy, Elsevier, vol. 114(C), pages 671-682.
    7. Zhang, Jingrui & Tang, Qinghui & Chen, Yalin & Lin, Shuang, 2016. "A hybrid particle swarm optimization with small population size to solve the optimal short-term hydro-thermal unit commitment problem," Energy, Elsevier, vol. 109(C), pages 765-780.
    8. Jianzhong Zhou & Mengfei Xie & Zhongzhen He & Hui Qin & Liu Yuan, 2017. "Medium-Term Hydro Generation Scheduling (MTHGS) with Chance Constrained Model (CCM) and Dynamic Control Model (DCM)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(11), pages 3543-3555, September.

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