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Optimization of emission/economic dispatch using euclidean affine flower pollination algorithm (eFPA) and binary FPA (BFPA) in solar photo voltaic generation

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  • Shilaja, C.
  • Ravi, K.

Abstract

Economic dispatch is the optimal output for a number of electricity generating units, to meet the system load, at the lowest possible cost, subject to transmission and operational constraints. The different Economic Dispatch (ED) methods have been developed in order to deal with the challenge of continuous and sustainable power at an improved cost. The increase in cost depletion of non-renewable sources has forced us to use the renewable energy resource as an alternative energy source. For optimizing the Economic Dispatch problem, a new algorithm is proposed based on Combined Emission Economic Dispatch (CEED) for Photo Voltaic (PV) plants and thermal power generation units. In CEED approach for improvising the Economic Dispatch Euclidean Affine Flower Pollination Algorithm (eFPA) and Binary Flower Pollination Algorithm (BFPA) has been used for solving the optimization problem for twenty PV and five thermal generators are done with full solar radiations and with reduced solar radiation. Power demand data has been taken from India in the district of Tuticorin Thermal Power Station (TTPS). Simulation results are tested with IEEE 30 bus and IEEE 57 bus systems and the comparison has been made with existing algorithm to provide better results.

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  • Shilaja, C. & Ravi, K., 2017. "Optimization of emission/economic dispatch using euclidean affine flower pollination algorithm (eFPA) and binary FPA (BFPA) in solar photo voltaic generation," Renewable Energy, Elsevier, vol. 107(C), pages 550-566.
    • Handle: RePEc:eee:renene:v:107:y:2017:i:c:p:550-566
    DOI: 10.1016/j.renene.2017.02.021
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    References listed on IDEAS

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    Cited by:

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    4. Ziad M. Ali & Shady H. E. Abdel Aleem & Ahmed I. Omar & Bahaa Saad Mahmoud, 2022. "Economical-Environmental-Technical Operation of Power Networks with High Penetration of Renewable Energy Systems Using Multi-Objective Coronavirus Herd Immunity Algorithm," Mathematics, MDPI, vol. 10(7), pages 1-43, April.
    5. Basu, M., 2021. "Fuel constrained dynamic economic dispatch with demand side management," Energy, Elsevier, vol. 223(C).
    6. Qun Niu & Ming You & Zhile Yang & Yang Zhang, 2021. "Economic Emission Dispatch Considering Renewable Energy Resources—A Multi-Objective Cross Entropy Optimization Approach," Sustainability, MDPI, vol. 13(10), pages 1-33, May.
    7. Chen, Min-Rong & Zeng, Guo-Qiang & Lu, Kang-Di, 2019. "Constrained multi-objective population extremal optimization based economic-emission dispatch incorporating renewable energy resources," Renewable Energy, Elsevier, vol. 143(C), pages 277-294.
    8. Basu, M., 2020. "Optimal generation scheduling of hydrothermal system with demand side management considering uncertainty and outage of renewable energy sources," Renewable Energy, Elsevier, vol. 146(C), pages 530-542.
    9. Ismail Marouani & Tawfik Guesmi & Hsan Hadj Abdallah & Badr M. Alshammari & Khalid Alqunun & Ahmed S. Alshammari & Salem Rahmani, 2022. "Combined Economic Emission Dispatch with and without Consideration of PV and Wind Energy by Using Various Optimization Techniques: A Review," Energies, MDPI, vol. 15(12), pages 1-35, June.
    10. Kheshti, Mostafa & Ding, Lei & Ma, Shicong & Zhao, Bing, 2018. "Double weighted particle swarm optimization to non-convex wind penetrated emission/economic dispatch and multiple fuel option systems," Renewable Energy, Elsevier, vol. 125(C), pages 1021-1037.
    11. Basu, M., 2022. "Fuel constrained combined heat and power dynamic dispatch using horse herd optimization algorithm," Energy, Elsevier, vol. 246(C).
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