Abstract
Recently, the integration of distributed generation (DG) into distribution networks has grown significantly. As a result of this integration, optimal power flow (OPF) can be applied to the distribution network as an effective tool in order to enhance the control, operation and planning in the distribution grid. The nonlinearity of OPF problem in distribution networks requires the application of nonlinear optimization methods. This paper investigates how high penetration photovoltaic (PV) units impact the voltage regulation and power flow in active distribution networks. A multi-objective function is used to define the nonlinear power flow problem and Cuckoo Search (CS) algorithm is applied to solve the OPF problem. The proposed method was tested by using IEEE 123 nodes test case. Comparing the results of the PV unit with the traditional operation methods shows that locating PV units in the unbalanced distribution system would lead to better performance.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE Electrical Power and Energy Conference, EPEC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538608173 |
| DOIs | |
| State | Published - 2 Jul 2017 |
| Externally published | Yes |
| Event | 2017 IEEE Electrical Power and Energy Conference, EPEC 2017 - Saskatoon, Canada Duration: 22 Oct 2017 → 25 Oct 2017 |
Publication series
| Name | 2017 IEEE Electrical Power and Energy Conference, EPEC 2017 |
|---|---|
| Volume | 2017-October |
Conference
| Conference | 2017 IEEE Electrical Power and Energy Conference, EPEC 2017 |
|---|---|
| Country/Territory | Canada |
| City | Saskatoon |
| Period | 22/10/17 → 25/10/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- Cuckoo serach algorithm
- distributed generation
- optimal power flow
- photovoltaic unit
- unbalanced distribution system
