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Abstract
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Article Information:
Economic Emission Short-term Hydrothermal Scheduling using a Dynamically Controlled Particle Swarm Optimization
Vinay K. Jadoun, Nikhil Gupta, K.R. Niazi and Anil Swarnkar
Corresponding Author: Vinay K. Jadoun
Submitted: May 26, 2014
Accepted: June 20, 2014
Published: October 05, 2014 |
Abstract:
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In this study a Dynamically Controlled Particle Swarm Optimization (DCPSO) method has been developed to solve Economic Emission Short-Term Hydrothermal Scheduling (EESTHS) problem of power system with a variety of operational and network constraints. The inertial, cognitive and social behavior of the swarm is modified by introducing exponential functions for better exploration and exploitation of the search space. A new concept of preceding and aggregate experience of particle is proposed which makes PSO highly efficient. A correction algorithm is suggested to handle various constraints related to hydrothermal plants. The overall methodology efficiently regulates the velocity of particles during their flight and results in substantial improvement. The effectiveness of the proposed method is investigated on two standard hydrothermal test systems considering various operational constraints. The application results show that the proposed DCPSO method is very promising.
Key words: Constriction functions, emission minimization, fuel cost minimization, particle swarm optimization, prohibited operating zones, ramp rate limits, short-term hydrothermal scheduling, valve-point loading effect
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Cite this Reference:
Vinay K. Jadoun, Nikhil Gupta, K.R. Niazi and Anil Swarnkar, . Economic Emission Short-term Hydrothermal Scheduling using a Dynamically Controlled Particle Swarm Optimization. Research Journal of Applied Sciences, Engineering and Technology, (13): 1544-1557.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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