Security-aware stochastic optimization method for operating active distribution networks with resilience enhancement
This paper proposes a stochastic optimal operation method for active distribution networks to improve system resilience. The source–network–load uncertainties are handled with a set of typical scenarios, and the system post-contingency security level is quantitatively evaluated by security distance....
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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/bc58bd600faa4804a8a2a4c8f07e4a84 |
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| Sumario: | This paper proposes a stochastic optimal operation method for active distribution networks to improve system resilience. The source–network–load uncertainties are handled with a set of typical scenarios, and the system post-contingency security level is quantitatively evaluated by security distance. The formulated problem determines the on-load tap-changer tap position, the distributed generator (DG) output power, the DG power factor angle, the demand side management participation rate and the switch status to achieve the economic operation solution. The off-the-shelf solver is deployed to solve the proposed mixed-integer nonlinear programming model. Numerical simulations studied on a modified 104-bus distribution network validate the effectiveness and high performance of the presented method. The solutions indicate that the security-aware operation scheme can simultaneously improve system economy and resilience compared with the existing operation model. Moreover, the operation solution accommodates more renewable DGs. |
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