Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Enhanced Economic Load Dispatch by Teaching-Learning-Based Optimization (TLBO) on Thermal Units: A Comparative Study with Different Plug-in Electric Vehicle (PEV) Charging Strategies

Version 1 : Received: 15 August 2023 / Approved: 16 August 2023 / Online: 16 August 2023 (10:04:39 CEST)

A peer-reviewed article of this Preprint also exists.

Khobaragade, T.; Chaturvedi, K.T. Enhanced Economic Load Dispatch by Teaching–Learning-Based Optimization (TLBO) on Thermal Units: A Comparative Study with Different Plug-in Electric Vehicle (PEV) Charging Strategies. Energies 2023, 16, 6933. Khobaragade, T.; Chaturvedi, K.T. Enhanced Economic Load Dispatch by Teaching–Learning-Based Optimization (TLBO) on Thermal Units: A Comparative Study with Different Plug-in Electric Vehicle (PEV) Charging Strategies. Energies 2023, 16, 6933.

Abstract

This research paper presents an enhanced economic load dispatch (ELD) approach using the Teaching-Learning-Based Optimization (TLBO) algorithm for 10 thermal units, examining the impact of Plug-in Electric Vehicles (PEVs) in different charging scenarios. The TLBO algorithm is utilized to optimize the ELD problem, considering the complexities associated with thermal units. The integration of PEVs in the load dispatch optimization is investigated, and different charging profiles and probability distributions are defined for PEVs in various scenarios, including overall charging profile, off-peak charging, peak charging, and stochastic charging. These tables allow for the modeling and analysis of PEV charging behavior and power requirements within the power system. By incorporating PEVs, additional controllable resources are introduced, enabling more effective load management and grid stability. The comparative analysis showcases the advantages of the TLBO-based ELD model with PEVs, demonstrating the potential of coordinated dispatch strategies leveraging PEV storage and controllability. This paper emphasizes the importance of integrating PEVs into the load dispatch optimization process, utilizing the TLBO algorithm, to achieve economic and reliable power system operation while considering different PEV charging scenarios.

Keywords

Teaching-Learning-Based Optimization (TLBO); Thermal Units; Plug-in Electric Vehicles (PEVs); Comparative Study; Load Management Strategies

Subject

Engineering, Electrical and Electronic Engineering

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