Journal of Energy Management and Technology

Journal of Energy Management and Technology

A study on electrification of agricultural wells using fuzzy clustering algorithm and selection of optimal scenarios

Document Type : Original Article

Authors
hossein azizi moghaddam 1
Mohammad Hosein Asgharinejad Keisami 2
1 Niroo Research Institute (NRI), Tehran, Iran
2 Niroo Research Institute (NRI)
10.22109/jemt.2024.402218.1454
Abstract
Every year a large amount of subsidized diesel fuel is delivered to farmers for irrigation purposes. In addition to low efficiency and high maintenance costs, diesel pumps increase environmental pollution and produce greenhouse gases. For this reason, in recent decades, the replacement of diesel pumps with electric pumps has been a priority for governments in most developing countries. Despite the many benefits of electrifying agricultural wells, providing the required demand for electric pumps has always been one of the main challenges facing grid operators. The development of renewable resources and distributed generation resources can be an effective strategy to provide economically justifiable solutions to supply the demand for agricultural wells and result in savings in fossil fuel consumption. Policymakers must have a clear understanding of different approaches regarding the electrification of irrigation systems and conceivable scenarios. In this paper, economic studies based on the enactments of the plan to supply electricity to Iran's agricultural wells are presented on a pilot scale. In this paper, a clustering of agricultural wells based on the fuzzy clustering method is presented. The purpose of using the fuzzy clustering method is to present the best classification of wells in terms of dispersion rate and select the best demand-supply scenario (of the four proposed scenarios) based on the analysis of the economic indices. In the final section of the paper, the analysis of the results of the proposed method is discussed.
Keywords
Irrigation Electrification
Fuzzy Clustering
Renewable resources

Subjects

1. "Electricity Or Diesel For Irrigation Pumping The Key Energy Consideration At A Mixed-Farm Enterprise," [Online].
Available: Aginnovators.Org. Au. [Accessed 2020].
2. "A Report about Electrifying Agricultural Wells," Iran Fuel Conservation Company, 2015.
3. K. Clark, "Farm Beneficial Electrification: Opportunities and Strategies for Rural Electric Cooperatives," 2018.
4. L. Agheli, "Estimating the demand for diesel in agriculture sector of Iran," International Journal of Energy Economics and Policy, 2015.
5. G. D. K. Robert G. Curley, "Cost comparison: engines vs. electric motors for irrigation pumping," California Agricul-
ture, no. 46(5), pp. 24-26, 1992.
6. "Diesel Versus Electric Pumps | Aginnovators," [Online]. Available: Aginnovators.Org.Au. [Accessed 2020].
7. D. L. e. a. Martin, " Evaluating energy use for pumping irrigation water," in Central Plains irrigation conference, Burling-
ton, Colorado, 2011.
8. X. e. a. Wang, " Comparison of electrical and mechanical water pump performance in internal combustion engine,"
International Journal of Vehicle Systems Modelling and Testing, no. 10.3, pp. 205-223, 2015.
9. "Enactment of the Supreme Economic Council," Planning and Budget Organization of the Islamic Republic of Iran, March 2015.
10. M. T.-A.-I. Khan, S. Sarkar, S. Hossain, A. U. Ahmed and B. B. Pathik, "The feasibility study of solar irrigation: Eco-
nomical comparison between diesel and photovoltaic water pumping systems for different crops," in 2013 International
Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 2014.
11. H. Singh, B. K. Saxena and K. V. S. Rao, "Performance study of a solar photovoltaic water pump used for irrigation at
Jaipur in Rajasthan, India," in 2017 International Conference on Technological Advancements in Power and Energy (TAP Energy), Kollam, India, 2017.
12. S. M. S. Reza and N. I. Sarkar, "Design and performance analysis of a directly-coupled solar photovoltaic irrigation
pump system at Gaibandha, Bangladesh," in 2015 3rd International Conference on Green Energy and Technology (ICGET),
Dhaka, Bangladesh, 2015.
13. J. H. Ugale and M. Panse, "Single phase AC drive for isolated solar photovoltaic water pumping system," in 2015
International Conference on Green Computing and Internet of Things (ICGCIoT), Greater Noida, India, 2015.
14. R. K. Megalingam and V. V. Gedela, "Solar powered automated water pumping system for eco-friendly irrigation,"
in 2017 International Conference on Inventive Computing and Informatics (ICICI), Coimbatore, India, 2017.
15. C. Ghenai, A. Almasri, J. Alrejjal and N. Khalil, "Modeling, Simulation and Performance Analysis of Solar PV In-
tegrated with Reverse Osmosis Water Treatment Unit for Agriculture Farming," in 2019 8th International Conference
on Modeling Simulation and Applied Optimization (ICMSAO), Manama, Bahrain, 2019.
16. "Report on identifying potential sites and evaluating the country’s renewable resources", Report No.11, Kerman
provinces," SATBA.
17. "School Of Geosciences," The University Of Sydney, [Online]. Available: http://www.geosci.usyd.edu.au.. [Ac-
cessed 2020].
18. "Yellowstone Research Coordination Network," Rcn.Montana.Edu, [Online]. Available: http://rcn.montana.edu.. [Accessed 2020].
19. "Software for Solar Power Investments," Solargis, [Online]. Available: https://solargis.com.
20. I. Tanaka and H. Ohmori, "Scenario generation with clustering for optimal allocation of renewable DG," in 2016 IEEE
Innovative Smart Grid Technologies - Asia (ISGT-Asia), Melbourne, VIC, Australia, 2016.
21. Z. Tang, Y. Liu, J. Liu, R. Li, L. Wen and G. Zhang, "Multistage sizing approach for development of utility-scale BESS
considering dynamic growth of distributed photovoltaic connection," Journal of Modern Power Systems and Clean En-
ergy, vol. IV, no. 4, 2016.
22. Z. Shi, Z. Wang, Y. Jin, N. Tai, X. Jiang and X. Yang, "Optimal Allocation of Intermittent Distributed Generation under
Active Management," Energies, 2018.
23. M. D. B. X. L. X. R. Di Hu, "Sizing and placement of distributed generation and energy storage for a large-scale
distribution network employing cluster partitioning," Journal of Renewable and Sustainable Energy, vol. 10, no. 2, 2018.
24. H. Wu, J. Zhang, C. Luo and B. Xu, "Equivalent Modeling of Photovoltaic Power Station Based on Canopy-FCM Clus-
tering Algorithm," IEEE Access, vol. 7, pp. 102911 - 102920, 2019.
25. H.-K. C. ,.-Q. H. Y.-B. T. Xin Liu, "Optimal Sizing for Wind/PV/Battery System Using Fuzzy -Means Clustering
with Self-Adapted Cluster Number," International Journal of Rotating Machinery, 2017.
26. K. Li, X. Cao, X. Ge, F. Wang, X. Lu, M. Shi, R. Yin, Z. Mi and S. Chang, "Meta-Heuristic Optimization-Based Two-Stage
Residential Load Pattern Clustering Approach Considering Intra-Cluster Compactness and Inter-Cluster Separation,"
IEEE Transactions on Industry Applications , vol. 56, no. 4, pp. 3375 - 3384, 2020 .
27. "Detailed statistics of Iran’s electricity industry for strategic management," Tavanir, 2019.
Journal of Energy Management and Technology
Volume 8, Issue 4
Autumn 2024
Pages 348-359

  • Receive Date 14 June 2023
  • Revise Date 31 January 2024
  • Accept Date 28 April 2024