Work

Reactive Power Optimization of Distribution Network Considering DG Based on Improved Ant Lion Algorithm

Year: 2026

Type: article

Abstract: Large-scale and high-proportion access of distributed generation to distribution network breaks the original power flow structure of distribution network, which affects the power quality and safe operation of distribution network system. Voltage stability can be maintained through reactive power optimization, and the system operation economy can be improved. In this paper, the influence of distributed generation access on the stability of distribution network is analyzed. On this basis, the mathematical model of reactive power optimization is established with the comprehensive consideration of active power loss and node voltage deviation of distribution network with distributed generation access, and the improved ant lion algorithm with dynamic weight coefficient is used to solve the model. Finally, the simulation analysis is carried out in IEEE33-bus system, and the improved ant lion algorithm and standard ant lion algorithm are used to solve the reactive power optimization of distribution network. The comparison of the optimization results of the two algorithms proves the feasibility and superiority of the improved ant lion algorithm in solving the reactive power optimization problem.

Source: EAI Endorsed Transactions on Energy Web

DOI: 10.4108/ew.12188

Authors: Yuan Hu, Jing Yang, Yuehua Cui, Xingjun Tian, Pan He, Peng Wu, Fusheng Zhang, Jianpeng Bian

Institutions: State Grid Corporation of China (China), Shijiazhuang Tiedao University

Language: English

Topic: Optimal Power Flow Distribution

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: diamond

OpenAlex ID: W7154253590

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