Open Access

ARTICLE

Research of Electric Cable Path Planning Based on Heuristic Optimization Algorithm in Mixed-Land Scenario

Tianfeng Xu¹, Tao Wang¹, Chengming Ye², Jing Zhang¹, Peng Xi¹, Yunhui Chen², Gengwu Zhang^3,*

1 State Grid Hebei Electric Power Economic Research Institute, Shijiazhuang , 050023, China
2 Shanghai Electric Power Design Institute Co., Ltd., Shanghai, 200025, China
3 College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, 030024, China

* Corresponding Author: Gengwu Zhang. Email:

Energy Engineering 2023, 120(11), 2629-2650. https://doi.org/10.32604/ee.2023.027537

Received 03 November 2022; Accepted 20 April 2023; Issue published 31 October 2023

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.

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Keywords

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