| Autor: |
Wei-Jie Liao, Hui-Jen Chuang |
| Rok vydání: |
2016 |
| Předmět: |
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| Zdroj: |
2016 International Conference on Advanced Materials for Science and Engineering (ICAMSE). |
| DOI: |
10.1109/icamse.2016.7840285 |
| Popis: |
This paper is to solve the proper expansion planning of traction substations (TSS) by minimizing the overall cost of power consumption, voltage drop of train sets and investment cost of traction substations for mass rapid transit power systems with immune algorithm (IA). The objective function and constraints are expressed as antigens, and all feasible solutions are expressed as antibody in the IA simulation process. The diversity of antibodies is then enhanced by considering the proximity of antigens so that the global optimization during the solution process can be obtained. By operating on the memory cell with the IA method, the optimal unit commitment strategy of traction substations has been solved to meet the system peak power demand and provide sufficient capacity reserve to maintain the N-1 reliability criterion. According to the computer simulation, the expansion planning of traction substations to achieve the minimum overall cost has been solved by identifying the optimal expansion planning of traction substations to be committed at each year. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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