Mixed-Integer Linear Programming Based Distribution Network Reconfiguration Model Considering Reliability Enhancement
With the reform of the power system further deepening, the reliance on electricity and importance attached to the reliable power supply are increasing year by year, and the establishment of a high resilient power system has considerable economic, environmental and social benefits. Reconfiguring the...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
China electric power research institute
2025-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10436610/ |
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| Summary: | With the reform of the power system further deepening, the reliance on electricity and importance attached to the reliable power supply are increasing year by year, and the establishment of a high resilient power system has considerable economic, environmental and social benefits. Reconfiguring the network is one of the well-known tactics to enhance reliability. Accordingly, this paper proposes a reconfiguration method of distribution network considering the enhancement of reliability, which reconfigures the network structure both under normal operation conditions and outage scenarios, and considers factors such as power loss, load distribution and voltage quality considered in conventional reconfiguration methods. In this paper, the reliability assessment is integrated into the process of distribution network reconfiguration by using binary variables to represent the operating state of switchable devices. Based on the concept of fictitious fault flows, the reliability indices of distribution network are linearized expressed, and the network loss is reduced by minimizing the voltage deviation. A mixed integer linear programming (MILP) model is established for distribution network reconfiguration problem, which can guarantee the global optimal solution with high solution efficiency. Finally, the applicability and effectiveness of the proposed method are verified by numerical tests on a 54-node test system. |
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| ISSN: | 2096-0042 |