Journal
IEEE ACCESS
Volume 6, Issue -, Pages 45907-45922Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2018.2865960
Keywords
Economic dispatch; firefly algorithm; multiple fuel options; valve-point effects
Categories
Funding
- National Natural Science Foundation of China [51577085, 51867003]
- National High-Tech R&D Program of China (863 Program) [2015AA050204]
- Natural Science Foundation of Guangxi [2015GXNSFBA139235]
- Foundation of Guangxi Science and Technology Department [AE020069]
- Foundation of Guangxi Education Department [T3020097903]
- National Key Research and Development Program of China [2016YFB0900101]
- Training Program for Thousands of Young and Middle-Aged Backbone Teachers in Guangxi, Guangxi Education Department
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This paper presents a new metaheuristic optimization algorithm, the firefly algorithm (FA), and an enhanced version of it, called chaos mutation FA (CMFA), for solving power economic dispatch problems while considering various power constraints, such as valve-point effects, ramp rate limits, prohibited operating zones, and multiple generator fuel options. The algorithm is enhanced by adding a new mutation strategy using self-adaptation parameter selection while replacing the parameters with fixed values. The proposed algorithm is also enhanced by a self-adaptation mechanism that avoids challenges associated with tuning the algorithm parameters directed against characteristics of the optimization problem to be solved. The effectiveness of the CMFA method to solve economic dispatch problems with high nonlinearities is demonstrated using five classic test power systems. The solutions obtained are compared with the results of the original algorithm and several methods of optimization proposed in the previous literature. The high performance of the CMFA algorithm is demonstrated by its ability to achieve search solution quality and reliability, which reflected in minimum total cost, convergence speed, and consistency.
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