A method to minimize the maintenance costs of a broadband access network based on optimal steady-state probability mixture distribution of proactive and reactive maintenance

Deljac, Željko; Randić, Mirko

doi:10.1016/j.compeleceng.2022.108280

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…In this paper, firstly, it is essential to define the node type of active electrical power network, analyze power flow, and provide a basic guarantee for multi-target co-enhancement for complex environments operation [6][7][8][9][10]. The flow chart of multi-target co-enhancement research for intelligent electrical networks designed in this article is shown in Figure 1.…”

Section: Power Flow Analysis Of Active Distribution Networkmentioning

confidence: 99%

Multi-objective Collaborative Optimization Method for Intelligent Distribution Network Operation and Maintenance

Zhao,

Zhang

2023

J. Phys.: Conf. Ser.

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Most of the conventional multi-objective coordination methods for active distribution network operation are designed based on the principle of weighted random algorithm, which has limited application scope and cannot simplify the algorithm and reduce the complexity of the solution process, resulting in poor stability of active distribution network lines and potential faults. Based on this, this algorithm is introduced to carry out multi-objective collaborative optimization for intelligent distribution network operation. Firstly, the node types for the intelligent distribution network are defined and the power flow of the distribution network is analyzed. Secondly, a multi-objective configuration model for the lower level of the operation is constructed to maximize the distribution network investment and operation benefit index. A multi-objective collaborative optimization algorithm based on an enhanced particle swarm optimization algorithm is designed to reduce the operation cost of the distribution network and enhance the security and stability of the distribution network system during operation. The simulation test results show that after the application of the new method, the intelligent distribution network voltage stability index Vm is always less than 1, and the line stability has been significantly improved.

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