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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.