Name
Title | ||
|---|---|---|
Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization |
Abstract | ||
|---|---|---|
This paper proposes the random drift particle swarm optimization (RDPSO) algorithm to solve economic dispatch (ED) problems from power systems area. The RDPSO is inspired by the free electron model in metal conductors placed in an external electric field, and it employs a novel set of evolution equations that can enhance the global search ability of the algorithm. Many nonlinear characteristics of a power generator, such as the ramp rate limits, prohibited operating zones and nonsmooth cost functions are considered when the proposed method is used in practice for optimizing the generators' operation. The performance of the RDPSO method is evaluated on three different power systems, and compared with that of other optimization methods in terms of the solution quality, robustness, and convergence performance. The experimental results show that the RDPSO method performs better in solving the ED problems than any other tested optimization techniques. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TII.2013.2267392 | IEEE Trans. Industrial Informatics |
Keywords | Field | DocType |
generator operation optimization,computational intelligence,nonlinear characteristics,convergence performance,global search ability,random drift particle swarm optimization algorithm,particle swarm optimisation,power generation dispatch,generator constraints,ed problems,external electric field,power generator,ac generators,metal conductors,solution quality,constrained nonlinear optimization,power generation economics,free electron model,ramp rate limits,economic dispatch problem,power systems,rdpso algorithm,nonsmooth cost functions,operating zones,power economic dispatch problem,particle swarm optimization | Particle swarm optimization,Convergence (routing),Economic dispatch,Mathematical optimization,Nonlinear system,Computer science,Electric power system,Control engineering,Robustness (computer science),Multi-swarm optimization,Metaheuristic | Journal |
Volume | Issue | ISSN |
10 | 1 | 1551-3203 |
Citations | PageRank | References |
30 | 1.45 | 16 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Sun | 1 | 1060 | 79.09 |
| Vasile Palade | 2 | 1353 | 114.44 |
| Xiaojun Wu | 3 | 230 | 11.79 |
| Wei Fang | 4 | 339 | 19.89 |
| Zhenyu Wang | 5 | 43 | 3.21 |