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Chaowanan Jamroen
King Mongkut’s University of Technology North Bangkok
Computer Science & IT Electrical & Electronics Engineering

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Optimal Generation Scheduling of Power System for Maximum Renewable Energy Harvesting and Power Losses Minimization Bounthanh Banhthasit; Chaowanan Jamroen; Sanchai Dechanupaprittha
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 4: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1872.03 KB) | DOI: 10.11591/ijece.v8i4.pp1954-1966

Abstract

This paper proposes an optimal generation scheduling method for a power system integrated with renewable energy sources (RES) based distributed generations (DG) and energy storage systems (ESS) considering maximum harvesting of RES outputs and minimum power system operating losses. The main contribution aims at economically employing RES in a power system. In particular, maximum harvesting of renewable energy is achieved by the mean of ESS management. In addition, minimum power system operating losses can be obtained by properly scheduling operating of ESS and controllable generations. Particle Swam Optimization (PSO) algorithm is applied to search for a near global optimal solutions. The optimization problem is formulated and evaluated taking into account power system operating constraints. The different operation scenarios have been used to investigate the effective of the proposed method via DIgSILENT PowerFactory software. The proposed method is examined with IEEE standard 14-bus and 30-bus test systems. 
Co-Authors Bounthanh Banhthasit Sanchai Dechanupaprittha