Research on Reactive Power Optimization of Distribution Network Based on Quantum Particle Swarm Optimization Algorithm

• Published in: 2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC) Vol. 7; pp. 1059 - 1063
• Main Authors: Wu, Xiaomeng, Zhang, Qinkai, Tian, Weidong, Sun, Anlei, Li, Chenchen
• Format: Conference Proceeding
• Language: English
• Published: IEEE 15.09.2023
• Subjects: distributed generation; distribution network; Distribution networks; Linear programming; Low voltage; quantum partile swarm optimization; Reactive power; reactive power optimization; sensitivity; Sensitivity analysis; Switches; Voltage
• ISSN: 2693-289X
• DOI: 10.1109/ITOEC57671.2023.10291600

In order to solve the problem of excessive network loss and low voltage amplitude caused by insufficient reactive power or uneven distribution of distribution network, a reactive power optimization scheme of distribution network based on quantum particle swarm optimization is proposed. The minimum network loss of distribution network is selected as the objective function, and the power flow calculation is carried out by Newton-Raphson method with the constraint conditions of node voltage amplitude and switching capacitor capacity. Based on the sensitivity of node network loss-reactive power, the sensitivity analysis of distribution network nodes is sorted, and the best reactive power compensation node is selected. The quantum particle swarm optimization algorithm is used to optimize the compensation capacity of the selected reactive power compensation nodes. Taking the IEEE33 node distribution network as an example, the reactive power optimization of the distribution network is discussed and verified when there is distributed power access. The results show that the proposed reactive power optimization scheme is feasible and can improve the node voltage amplitude while reducing the network loss of the distribution network.