期刊
ENERGIES
卷 13, 期 17, 页码 -出版社
MDPI
DOI: 10.3390/en13174281
关键词
numerical polynomial homotopy continuation; multiobjective optimization; power generation; economic emission dispatch
资金
- National Council of Science and Technology (CONACyT), Mexico under the SNI program
- CONACyT [CVU-736083]
The economic emission dispatch (EED) is a highly constrained nonlinear multiobjective optimization problem with a convex (or nonconvex) solution space. These characteristics and constraints make the EED a difficult problem to solve. Several approaches for a solution have been proposed, such as deterministic techniques, stochastic techniques, or a combination of both. This work presents the use of an algebraic (deterministic) technique, the numerical polynomial homotopy continuation (NPHC) method, to solve the EED problem. A comparison with the sequential quadratic programming (SQP) algorithm and the nondominated sorting genetic algorithm II (NSGA-II) is also presented. Results show that the NPHC algorithm finds all the roots (solutions) of the problem starting from any initial point and assures an accurate solution with a good convergence time. In addition, the NPHC algorithm provides a more accurate solution than the SQP algorithm and the NSGA-II.
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