ew 21(33): e14

Research Article

Dispatch model of Power Systems in Thermal Wind and Pumped Storage Hydro Framework using Hybrid Optimization technique

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  • @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
R. Soundara Pandian1,*, R. Jayashree1
  • 1: Department of Electrical and Electronics Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India
*Contact email: soundarapandian312@gmail.com

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.