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

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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.

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  1. Kuntal Bhattacharjee

    Present address: Department of Electrical Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, 382481, India

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  1. Department of Electrical Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, 382481, India

    Jatin Soni

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Soni, J., Bhattacharjee, K. Multi-objective dynamic economic emission dispatch integration with renewable energy sources and plug-in electrical vehicle using equilibrium optimizer. Environ Dev Sustain 26, 8555–8586 (2024). https://doi.org/10.1007/s10668-023-03058-7

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