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| Author(s): |
Thais Reggina Kempner
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) |
| Defense date: | 2016-05-19 |
| Examining board members: |
Mário Oleskovicz;
Geraldo Roberto Martins da Costa;
Nelson Kagan;
Arnulfo Barroso de Vasconcellos;
José Carlos de Melo Vieira Júnior
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| Advisor: | Mário Oleskovicz |
| Abstract | |
Short Duration Voltage Variations (SDVVs) are among the most difficult disturbances to be monitored, since they are caused by random and unpredictable factors. Hence, the Distribution System (DS) monitoring is an essential step for obtaining representative information for the regulation of new power quality indices for these disturbances. In this scenario, this work aims to ensure the entire observability of SDVVs, considering any short circuit occurrence in the DS, based on algorithm to achieve the monitors\' optimal allocation. In order to determine the voltage magnitude at each node, the fault positions method is used, showing the influence and propagation of SDVVs on the DS. Subsequently, a resulting binary matrix is determined. This matrix observes the voltage sags, simultaneously, for all fault types. Then, the downsizing of this matrix is proposed in order to reduce the computational effort in large DSs. Furthermore, the vulnerability of each DS node is analyzed to establish the relative weighting in the optimization process. The results show a faster and more direct allocation methodology to obtain the optimal solution, because fewer computational executions are needed for different optimal solutions and to ensure the voltage sags monitoring for all short circuits types. Moreover, the power quality monitor installation priority is performed according to the higher observability of the voltage sags, making it possible to choose the best arrangement of monitors that meets the budget constraints of the power utilities. (AU) | |
| FAPESP's process: | 11/22151-5 - Analisys of the robustness and sensitivity of distribution systems for optimal allocation of monitors in face of Short Duration Voltage Variations. |
| Grantee: | Thais Reggina Kempner |
| Support Opportunities: | Scholarships in Brazil - Doctorate |