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

• Published in: Journal of physics. Conference series Vol. 2662; no. 1; pp. 12010 - 12016
• Main Authors: Zhao, Chenxu, Zhang, Lei
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.12.2023
• Subjects: Algorithms; Collaboration; Multiple objective analysis; Optimization algorithms; Particle swarm optimization; Physics; Power flow; Voltage stability
• ISSN: 1742-6588; 1742-6596; 1742-6596
• DOI: 10.1088/1742-6596/2662/1/012010

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 V m is always less than 1, and the line stability has been significantly improved.