Article: An intelligent distribution network source grid load storage optimisation scheduling based on improved ant lion algorithm Journal: International Journal of Modelling, Identification and Control (IJMIC) 2025 Vol.46 No.2 pp.73 - 81 Abstract: To enhance the stability of the distribution network's load and minimise its loss rate, an optimised scheduling approach for intelligent distribution network source load storage is introduced, leveraging an improved ant lion algorithm. Firstly, mathematical modelling is conducted on the diversified energy supply capacity within the intelligent distribution network, and a charging and discharging model is designed for the energy storage device. Secondly, a comprehensive optimisation scheduling system is established with the goal of reducing costs and minimising pollutant gas emissions, and multiple constraint factors are carefully planned. Finally, by improving the ant lion algorithm, a balance between global search and local optimisation is achieved. The results of the experiments demonstrate that the proposed technique closely approximates the actual load in terms of overall load correspondence within the distribution network, with the power grid experiencing a consistent loss rate of approximately 3% across all periods. Inderscience Publishers - linking academia, business and industry through research

Title: An intelligent distribution network source grid load storage optimisation scheduling based on improved ant lion algorithm

Authors: Guangyong Zheng; Junjie Zhang; Weiquan Ye; Jin Yi; Lianghao Huang; Hui Jiang

Addresses: Jiangmen Power Supply Bureau, Guangdong Power Grid Co., Ltd., Jiangmen, 529000, China ' Jiangmen Power Supply Bureau, Guangdong Power Grid Co., Ltd., Jiangmen, 529000, China ' Jiangmen Power Supply Bureau, Guangdong Power Grid Co., Ltd., Jiangmen, 529000, China ' Jiangmen Power Supply Bureau, Guangdong Power Grid Co., Ltd., Jiangmen, 529000, China ' Jiangmen Power Supply Bureau, Guangdong Power Grid Co., Ltd., Jiangmen, 529000, China ' Product Department, Dongfang Electronics Corporation, Yantai, 264000, China

Abstract: To enhance the stability of the distribution network's load and minimise its loss rate, an optimised scheduling approach for intelligent distribution network source load storage is introduced, leveraging an improved ant lion algorithm. Firstly, mathematical modelling is conducted on the diversified energy supply capacity within the intelligent distribution network, and a charging and discharging model is designed for the energy storage device. Secondly, a comprehensive optimisation scheduling system is established with the goal of reducing costs and minimising pollutant gas emissions, and multiple constraint factors are carefully planned. Finally, by improving the ant lion algorithm, a balance between global search and local optimisation is achieved. The results of the experiments demonstrate that the proposed technique closely approximates the actual load in terms of overall load correspondence within the distribution network, with the power grid experiencing a consistent loss rate of approximately 3% across all periods.

Keywords: intelligent distribution network; improve the ant lion algorithm; source network load storage; optimise scheduling.

DOI: 10.1504/IJMIC.2025.150851

International Journal of Modelling, Identification and Control, 2025 Vol.46 No.2, pp.73 - 81

Received: 31 Dec 2024
Accepted: 11 Jun 2025
Published online: 24 Dec 2025 *

Title: An intelligent distribution network source grid load storage optimisation scheduling based on improved ant lion algorithm

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