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A Novel Parallel Cellular Automata Algorithm for Multi-Objective Reservoir Operation Optimization

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  • Mohammad Hadi Afshar

    (Iran University of Science and Technology)

  • R. Hajiabadi

    (Iran University of Science and Technology)

Abstract

In this paper, a novel Parallel Cellular Automata (PCA) approach is presented for multi-objective reservoir operation optimization. The problem considers the multi-objective operation of a single reservoir with the two conflicting objectives of water supply and energy production. The water supply objective is defined as the squared deviation of the monthly release from the downstream demand while the hydropower objective is defined as the squared deficit of the monthly power production from the installed capacity. The proposed method uses two parallel cellular automata methods each searching for the solution of a single objective problem starting from an initial random solution. Each CA, however, is randomly seeded with the solution provided by the other CA method at each CA iteration. Two different version of the proposed PCA is considered based on the way the CAs are seeded. In the first method referred to as PCA1, a fixed value of 0.5 is used for the probability of exchange while in the second method, referred to as PCA2, a temperature-based variable probability of exchange is used for seeding the CAs. The proposed methods are used for bi-objective operation of Dez reservoir in Iran. Various operation periods of 60, 120, 240 and 480 months are considered to illustrate the efficiency and effectiveness of the proposed PCA methods for problems of different scales. In addition, Non-dominated Sorting Genetic Algorithm (NSGAII), is also used to solve the problems and the results are presented and compared. The results indicate that Pareto solutions obtained by the proposed temperature based method PCA2 are well-scattered over the front and in particular toward the end points compared to those of NSGAII requiring much less computational time. The superiority of the proposed method to that of NSGAII is shown to increase with increasing scale of the problem.

Suggested Citation

  • Mohammad Hadi Afshar & R. Hajiabadi, 2018. "A Novel Parallel Cellular Automata Algorithm for Multi-Objective Reservoir Operation Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 785-803, January.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:2:d:10.1007_s11269-017-1839-7
    DOI: 10.1007/s11269-017-1839-7
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    References listed on IDEAS

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    1. Yutao Qi & Liang Bao & Yingying Sun & Jungang Luo & Qiguang Miao, 2016. "A Memetic Multi-objective Immune Algorithm for Reservoir Flood Control Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 2957-2977, July.
    2. M. Ahmadi & Omid Bozorg Haddad & M. Mariño, 2014. "Extraction of Flexible Multi-Objective Real-Time Reservoir Operation Rules," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 131-147, January.
    3. Reza Hajiabadi & Mahdi Zarghami, 2014. "Multi-Objective Reservoir Operation with Sediment Flushing; Case Study of Sefidrud Reservoir," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(15), pages 5357-5376, December.
    4. Xuning Guo & Tiesong Hu & Conglin Wu & Tao Zhang & Yibing Lv, 2013. "Multi-Objective Optimization of the Proposed Multi-Reservoir Operating Policy Using Improved NSPSO," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2137-2153, May.
    5. Ashkan Shokri & Omid Bozorg Haddad & Miguel Mariño, 2013. "Algorithm for Increasing the Speed of Evolutionary Optimization and its Accuracy in Multi-objective Problems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2231-2249, May.
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    Cited by:

    1. M. A. Bonora & G. Capano & A. Rango & Mario Maiolo, 2022. "Novel Eulerian Approach with Cellular Automata Modelling to Estimate Water Quality in a Drinking Water Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5961-5976, December.
    2. Hamid Reza Yavari & Amir Robati, 2021. "Developing Water Cycle Algorithm for Optimal Operation in Multi-reservoirs Hydrologic System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2281-2303, June.
    3. Ali Zarei & Sayed-Farhad Mousavi & Madjid Eshaghi Gordji & Hojat Karami, 2019. "Optimal Reservoir Operation Using Bat and Particle Swarm Algorithm and Game Theory Based on Optimal Water Allocation among Consumers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3071-3093, July.
    4. Zengchuan Dong & Xiaokuan Ni & Mufeng Chen & Hongyi Yao & Wenhao Jia & Jiaxing Zhong & Li Ren, 2021. "Time-varying Decision-making Method for Multi-objective Regulation of Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3411-3430, August.
    5. Fatemeh Barzegari Banadkooki & Jan Adamowski & Vijay P. Singh & Mohammad Ehteram & Hojat Karami & Sayed Farhad Mousavi & Saeed Farzin & Ahmed EL-Shafie, 2020. "Crow Algorithm for Irrigation Management: A Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 1021-1045, February.
    6. Shen, Jianjian & Cheng, Chuntian & Wang, Sen & Yuan, Xiaoye & Sun, Lifei & Zhang, Jun, 2020. "Multiobjective optimal operations for an interprovincial hydropower system considering peak-shaving demands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).

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