Optimization of economic load dispatch of higher order general cost polynomials and its sensitivity using modified particle swarm optimization

This paper presents a modified particle swarm optimization (MPSO) for constrained economic load dispatch (ELD) problem. Real cost functions are more complex than conventional second order cost functions when multi-fuel operations, valve-point effects, accurate curve fitting, etc., are considering in...

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Bibliographic Details
Published in:Electric power systems research 2009, Vol.79 (1), p.98-106
Main Authors: Saber, Ahmed Yousuf, Chakraborty, Shantanu, Abdur Razzak, S.M., Senjyu, Tomonobu
Format: Article
Language:English
Subjects:
Applied sciences
Appropriate fitness function
Economic load dispatch
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Higher order general cost function
Miscellaneous
Modified particle swarm optimization
Operation. Load control. Reliability
Power networks and lines
Sensitivity
Unit vector
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Summary:This paper presents a modified particle swarm optimization (MPSO) for constrained economic load dispatch (ELD) problem. Real cost functions are more complex than conventional second order cost functions when multi-fuel operations, valve-point effects, accurate curve fitting, etc., are considering in deregulated changing market. The proposed modified particle swarm optimization (PSO) consists of problem dependent variable number of promising values (in velocity vector), unit vector and error–iteration dependent step length. It reliably and accurately tracks a continuously changing solution of the complex cost function and no extra concentration/effort is needed for the complex higher order cost polynomials in ELD. Constraint management is incorporated in the modified PSO. The modified PSO has balance between local and global searching abilities, and an appropriate fitness function helps to converge it quickly. To avoid the method to be frozen, stagnated/idle particles are reset. Sensitivity of the higher order cost polynomials is also analyzed visually to realize the importance of the higher order cost polynomials for the optimization of ELD. Finally, benchmark data sets and methods are used to show the effectiveness of the proposed method.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2008.05.017