1. An Efficient Modified HPSO-TVAC-Based Dynamic Economic Dispatch of Generating Units.
- Author
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Ghasemi, Mojtaba, Akbari, Ebrahim, Zand, Mohammad, Hadipour, Morteza, Ghavidel, Sahand, and Li, Li
- Subjects
PARTICLE swarm optimization ,TRANSMISSION of sound ,TEST systems ,MATHEMATICAL optimization ,SOURCE code - Abstract
This paper proposes a novel particle swarm optimization (PSO) algorithm with population reduction, which is called modified new self-organizing hierarchical PSO with jumping time-varying acceleration coefficients (MNHPSO-JTVAC). The proposed method is used for solving well-known benchmark functions, as well as non-convex and non-smooth dynamic economic dispatch (DED) problems for a 24 h time interval in two different test systems. Operational constraints including the prohibited operating zones (POZs), the transmission losses, the ramp-rate limits and the valve-point effects are considered in solving the DED problem. The obtained numerical results show that the MNHPSO-JTVAC algorithm is very suitable and competitive compared to other algorithms and have the capacity to obtain better optimal solutions in solving the non-convex and non-smooth DED problems compared to the other variants of PSO and the state of the art optimization algorithms proposed in recent literature. The source codes of the HPSO-TVAC algorithms and supplementary data for this paper are publicly available at . [ABSTRACT FROM AUTHOR]
- Published
- 2019
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