Noori, M. (2020) Reconfiguration, capacitor switching, and determining of renewable distributed generation power factor using improvement multi-objective algorithm. Masters thesis, University of Zabol.
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Abstract
Various applications are running on distribution networks. Today, the use of renewables in these networks has also increased. These sources are connected to the main grid via an inverter and have the ability to inject reactive power into the grid by changing their power factor. This thesis deals with distribution network planning through reconfiguration, switching capacitors, and determining the optimal power factor of renewable dispersive generation sources. Here the load and power curves of the renewable resources are divided into different sections and implemented by the multi-objective genetic optimization algorithm. The objectives here are to reduce losses, improve voltage profile deviation, and reduce the energy lost from renewable sources. Due to the multiple of responses obtained from multiobjective genetic optimization algorithm, fuzzy method was used to select the appropriate solution. The proposed method is implemented on the standard IEEE 33 bus network and for various scenarios such as reconfiguration alone, switching capacitors alone, reconfiguration of the distribution network with determination of renewable sources power factor and reconfiguration of distribution network with determination of renewable sources power factor and capacitors switvhing are evaluated.
| Item Type: | Thesis (Masters) |
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| Uncontrolled Keywords: | Reconfiguration, capacitorswitching, powerfactor, improvement, voltage profile |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Depositing User: | Mrs najmeh khajeh |
| Date Deposited: | 23 Oct 2021 07:41 |
| Last Modified: | 23 Oct 2021 07:41 |
| URI: | http://eprints.uoz.ac.ir/id/eprint/2856 |
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