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Planning of distributed generation in distribution network based on improved particle swarm optimization algorithm
| Content Provider | Scilit |
|---|---|
| Author | Li, Jinze Qu, Zhi He, Xiaoyang Jin, Xiao Ming Li, Tie Wang, Mingkai Han, Qiu Gao, Ziji Jiang, Feng |
| Copyright Year | 2018 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science Large-scale access of distributed power can improve the current environmental pressure, at the same time, increasing the complexity and uncertainty of overall distribution system. Rational planning of distributed power can effectively improve the system voltage level. To this point, the specific impact on distribution network power quality caused by the access of typical distributed power was analyzed and from the point of improving the learning factor and the inertia weight, an improved particle swarm optimization algorithm (IPSO) was proposed which could solve distributed generation planning for distribution network to improve the local and global search performance of the algorithm. Results show that the proposed method can well reduce the system network loss and improve the economic performance of system operation with distributed generation. |
| Related Links | http://iopscience.iop.org/article/10.1088/1755-1315/121/4/042008/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/121/4/042008 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 4 |
| Volume Number | 121 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-02-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Hardware and Architecture Distribution Network Distributed Power Planning of Distributed Generation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |