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
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 was utilized to optimize t...
Main Authors: | Tejaswita Khobaragade, K. T. Chaturvedi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/16/19/6933 |
Similar Items
-
Machine Learning Based PEVs Load Extraction and Analysis
by: Amin Mansour-Saatloo, et al.
Published: (2020-07-01) -
Demand Response Optimal Dispatch and Control of TCL and PEV Agents with Renewable Energies
by: Jianqiang Hu, et al.
Published: (2021-09-01) -
A PEV Charging Service Model for Smart Grids
by: Mohammed Abdel-Hafez, et al.
Published: (2012-11-01) -
A Multi-Period Framework for Coordinated Dispatch of Plug-in Electric Vehicles
by: Yinuo Huang, et al.
Published: (2016-05-01) -
Stochastic Modeling Method of Plug-in Electric Vehicle Charging Demand for Korean Transmission System Planning
by: Jong Hui Moon, et al.
Published: (2020-08-01)