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- Title
Research of Electric Cable Path Planning Based on Heuristic Optimization Algorithm in Mixed-Land Scenario.
- Authors
Tianfeng Xu; Tao Wang; Chengming Ye; Jing Zhang; Peng Xi; Yunhui Chen; Gengwu Zhang
- Abstract
In order to improve the reliability of power supply, the sophisticated design of the structure of electric cable network has become an important issue for modern urban distribution networks. In this paper, an electric cable path planning model based on heuristic optimization algorithm considering mixed-land scenario is proposed. Firstly, based on different land samples, the kernel density estimation (KDE) and the analytic hierarchy process (AHP) are used to estimate the construction cost of each unit grid, in order to construct the objective function of comprehensive investment for electric cable loop network. Then, the ant colony optimization (ACO) was improved in pheromone concentration, factor increment and search direction to accelerate the solving speed, and the cable path planning result with minimum construction cost is obtained. Finally, the feeder’s tie line of the cable loop network is planned by the genetic algorithm (GA) to achieve the minimum operating cost. In the case analysis, compared with the traditional method, not only the subjective factors in the process of investment estimation can be avoided, but also the speed of model solving and the quality of the optimal solution are improved.
- Subjects
OPTIMIZATION algorithms; ELECTRIC cables; HEURISTIC algorithms; ANT algorithms; CONSTRUCTION cost estimates; CABLES
- Publication
Energy Engineering, 2023, Vol 120, Issue 11, p2629
- ISSN
0199-8595
- Publication type
Article
- DOI
10.32604/ee.2023.027537