The Application of PSO in the Power Grid: A Review
文献类型：会议论文
| 作者 | Yimin Zhou; Zhifei Li; Huazhang Zhou; Ronghui Li |
| 出版日期 | 2016 |
| 会议名称 | CCC2016 |
| 会议地点 | 四川成都 |
| 英文摘要 | Particle swarm optimization (PSO) algorithm is a recently developed swarm intelligent optimization technology. It is originated from the artificial life and evolutionary theory, where the optimization is achieved via particle seeking its optimal solution and global optimal solution simultaneously. The algorithm is easily to be implemented with less adjusting parameters and has been applied broadly in various fields. In the paper, the basic principle of the PSO algorithm is briefly introduced and detailed applications of PSO in power system are discussed, such as power grid planning, maintenance, short-term power generation, unit combination, load frequency control, optimal power flow, reactive power optimization, harmonic analysis and capacitor configuration, parameter identification. Examples in each applied directions are also provided. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10081]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Yimin Zhou,Zhifei Li,Huazhang Zhou,et al. The Application of PSO in the Power Grid: A Review[C]. 见:CCC2016. 四川成都. |
入库方式： OAI收割
来源：深圳先进技术研究院
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