A New approach for solving Hydrothermal Unit Commitment and Scheduling for Generating Companies Using Particle Swarm Optimization

S. Padmini(1*), R. Jegatheesan(2), S. S. Dash(3), S. Hemanth(4)

(1) SRM University Chennai, India,
(2) Anna University, Chennai,
(3) SRM University Chennai, India,
(4) SRM University Chennai, India,
(*) Corresponding author

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This paper presents a new approach for solving the short-term hydrothermal co-ordination problem for Generating Companies (GENCO) using Particle Swarm Optimization (PSO). In the past the main objective of power utilities was to minimize the  total cost of the thermal units taking into account of both thermal and hydro constraints while satisfying the various constraints. However in a restructured power system, the objective is to maximize the profit of GENCO without considering the necessity of satisfying the forecasted demand. This paper presents results on test case of a cascaded chain of four-hydro plants and three-thermal plants. Here, the thermal power to be generated is calculated by subtracting the hydropower available from the load demand for the scheduled time periods. In this paper, an novel method is proposed for solving hydrothermal unit commitment and scheduling problem clubbed together using PSO technique in a competitive electricity market. Unit Commitment (UC) is performed for the three-thermal power plants so that their on/off status can be determined and accordingly optimum schedule can be calculated. A numerical result demonstrates the improved effectiveness of the presented algorithm as compared to the conventional method
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Hydrothermal scheduling, Profit Based Unit Commitment (PBUC), Particle Swarm Optimization (PSO), Generating Companies (GENCO).

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