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Multi-objective dynamic economic emission dispatch integration with renewable energy sources and plug-in electrical vehicle using equilibrium optimizer

Author

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  • Jatin Soni

    (Institute of Technology, Nirma University)

  • Kuntal Bhattacharjee

    (Institute of Technology, Nirma University)

Abstract

The thermal power plants, electrical industries, and transportation are the major source of emission of pollutant gases. Renewable energy sources (RES) such as wind plants and plug-in electric vehicles (PEVs) have been integrated in multi-objective dynamic economic emission dispatch (DEED) for a day to reduce wind–thermal energy cost and emission of pollutant gases. The several practical and nonlinear constraints have been considered to make system more realistic. The equilibrium optimizer (EO) has been proposed to solve the DEED model with RES and PEVs from different aspects. The four cases of ten and twenty thermal generating units have been considered to validate and analyze the efficacy of different types of integration in the proposed model. The results obtained by proposed technique have been compared with other recently developed techniques to show accuracy, efficiency, and speed of this technique in solving the proposed problem.

Suggested Citation

  • Jatin Soni & Kuntal Bhattacharjee, 2024. "Multi-objective dynamic economic emission dispatch integration with renewable energy sources and plug-in electrical vehicle using equilibrium optimizer," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(4), pages 8555-8586, April.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:4:d:10.1007_s10668-023-03058-7
    DOI: 10.1007/s10668-023-03058-7
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    References listed on IDEAS

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    Cited by:

    1. Wenjing Wang & Renjun Zhou, 2024. "Application of improved ant-lion algorithm for power systems," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-22, December.

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