DC Fuzzy Multicriteria Approach to Increase the Probability of Delivering Power in Distribution Networks
This paper proposes a methodology to increase the probability of delivering power to any load point through the identification of new investments. The methodology uses a fuzzy set approach to model the uncertainty of outage parameters, load and generation. A DC fuzzy multicriteria optimization model...
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | conferenceObject |
| Language: | eng |
| Published: |
2015
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10400.22/5895 |
| Country: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/5895 |
| Summary: | This paper proposes a methodology to increase the probability of delivering power to any load point through the identification of new investments. The methodology uses a fuzzy set approach to model the uncertainty of outage parameters, load and generation. A DC fuzzy multicriteria optimization model considering the Pareto front and based on mixed integer non-linear optimization programming is developed in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power to all customers in the distribution network at the minimum possible cost for the system operator, while minimizing the non supplied energy cost. To illustrate the application of the proposed methodology, the paper includes a case study which considers an 33 bus distribution network. |
|---|