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A Substation-Based Optimal Photovoltaic Generation System Placement Considering Multiple Evaluation Indices
| Content Provider | MDPI |
|---|---|
| Author | Leou, Rong-Ceng |
| Copyright Year | 2022 |
| Description | The placement of the photovoltaic generation system (PVGS) and operation of the on-load tap changer (OLTC) should have great impacts on the system loss and voltage quality, which are the main concerns of the distribution operator. Considering these multiple evaluation indices and other constraints, this paper proposed a substation-based optimal PVGS placement and OLTC operation model. The objective function that was used to evaluate the optimal PVGS placement and OLTC operation consists of a minimization of system loss and voltage quality. The model’s constraints contain the voltage and line flow limits, voltage deviations, voltage unbalance, etc. Uncertainties of the load and irradiance are also included in the model. A nondominated sorting genetic algorithm II (NSGA II) is used to solve this multi-objective optimization problem. Comparisons of the substation-based and feeder-based planning are also studied in this paper. The test results demonstrate the substation-based planning could obtain a better solution. |
| Starting Page | 5592 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en15155592 |
| Journal | Energies |
| Issue Number | 15 |
| Volume Number | 15 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-08-01 |
| Access Restriction | Open |
| Subject Keyword | Energies Industrial Engineering Photovoltaic Generation System On-load Tap Changer System Loss Voltage Quality Optimal Pvgs Placement Nondominated Sorting in Genetic Algorithm Ii |
| Content Type | Text |
| Resource Type | Article |
