Research Article
Dispatch model of Power Systems in Thermal Wind and Pumped Storage Hydro Framework using Hybrid Optimization technique
@ARTICLE{10.4108/eai.23-12-2020.167661, author={R. Soundara Pandian and R. Jayashree}, title={Dispatch model of Power Systems in Thermal Wind and Pumped Storage Hydro Framework using Hybrid Optimization technique}, journal={EAI Endorsed Transactions on Energy Web}, volume={8}, number={33}, publisher={EAI}, journal_a={EW}, year={2020}, month={12}, keywords={Wind, Pumped Hydro Storage, Generation Scheduling, Optimization Problem, Gravitational Search Algorithm, Thermal Generation Cost}, doi={10.4108/eai.23-12-2020.167661} }
- R. Soundara Pandian
R. Jayashree
Year: 2020
Dispatch model of Power Systems in Thermal Wind and Pumped Storage Hydro Framework using Hybrid Optimization technique
EW
EAI
DOI: 10.4108/eai.23-12-2020.167661
Abstract
An ideal scheduling model of Thermal-Wind and Pumped Storage Hydro framework is introduced in this paper. Thermal-Wind-Pumped store up Generation Scheduling (TWPGS) with practical and natural highlights of a multi-target optimization issue with many figured constraints are proposed. The fundamental target is to create 60 minutes by-hour ideal schedule of Thermal-wind-Pumped Storage plants to lessen the operating cost of the thermal power plant and fulfilling the system constraints. The paper introduces a point by point structure of the TWPGS issue, and Gravitational Search Algorithm (GSA) is proposed to formulate the solution. The proposed GSA chooses the ON/OFF situation of the generating unit and resultant power dispatch with least operating expense. To decide the effectiveness of the GSA model, testing is executed in a standard IEEE 6 bus framework utilizing MATLAB programming. The ideal consequences of the proposed model have been confirmed with the current method. The examination results demonstrated the amazingness of the proposed GSA model.
Copyright © 2020 R. Soundara Pandian et al., licensed to EAI. This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.