An Improved Multicriteria Optimization Method for Solving the Electric Vehicles Planning Issue in Smart Grids via Green Energy Sources

Oveis Abedinia,Maxim Lu,Mehdi Bagheri

doi:10.1109/access.2019.2960557

Oveis Abedinia, Maxim Lu + Show 1 more

Open Access

https://doi.org/10.1109/access.2019.2960557

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Abstract

In the given research, a new multicriterion (multiobjective) optimization algorithm has been considered to solve the problem of electric vehicles (EV) scheduling in a smart network in view of sustainable energy sources based on the cost and pollution minimization. By considering the environmental and economic problems, the application of EVs as a proper charging/discharging scheduling model and green energy sources plays an important role in the power system. This study focuses on multicriteria scheduling through uncertainty factors via inexhaustible assets and EVs, presenting a battery storing framework and reducing both the operation costs and the amount of the framework's pollution while improving the procedures. For this purpose, a new optimization algorithm has been considered to address the mentioned problem taking into account some clean energy sources and emission. The proposed model is examined in smart grid environment based on real-life model by Demand Response Program (DRP) evaluation and the uncertainties in sustainable energies. The proposed optimization algorithm shows more desirable results in comparison with other models, while the efficiency of the suggested approach is studied and evaluated in two power systems, i.e., a 33-bus standard power system and a 94-bus Portugal network. The obtained results validate the proposed method.

Highlights

Reducing fossil fuel sources, stringent policies on reducing environmental pollution, the costly establishment of new infrastructure in the existing energy network, current network low effectiveness, requirements for improving the quality of power, requirements for increasing supply security, the widespread and growing impact of sustainable energy sources, the development of Electric Vehicles (EVs), etc., are all stimulators that play a decisive role in converting the existing energy network into an intelligent network
Providing various schemes for the programming problem of the intelligent distribution network is performed first in terms of a typical thirty-three bus network and it is performed in terms of the actual ninetyfour-bus network, which is comprised of the subsequent schemes
Based on these findings, being charged during expensive hours with more pollution is not observed in terms of programming the linking EVs to the network

Summary

Introduction

Stringent policies on reducing environmental pollution, the costly establishment of new infrastructure in the existing energy network, current network low effectiveness, requirements for improving the quality of power, requirements for increasing supply security, the widespread and growing impact of sustainable energy sources, the development of Electric Vehicles (EVs), etc., are all stimulators that play a decisive role in converting the existing energy network into an intelligent network. The intelligent grid concept could serve as a bridge between the current traditional grid and the future active grid with flexible generation and consumption. This notion could be attributed to some capabilities of the intelligent grid, such as maximizing the use of sustainable energies and creating a widespread communication framework between the operator and the consumer [2]. The aim is to decrease emissions by optimally utilizing electric vehicles as energy storage devices in a combined energy system with sustainable energy sources [3], [4]

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