Active and reactive power joint optimization of active distribution network under new energy access

• Published in: IOP conference series. Earth and environmental science Vol. 510; no. 2; pp. 22045 - 22052
• Main Authors: Wei, Wei, Jiangbin, Zhang, Zhao, Yang, Zihan, Ma
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.06.2020
• Subjects: Algorithms; Distributed generation; Electric potential; Electric power distribution; Electric power grids; Electrical loads; Energy distribution; Energy utilization; Load distribution; Mathematical models; Multiple objective analysis; Nodes; Objective function; Optimization; Particle swarm optimization; Power flow; Reactive power; Simulated annealing; Voltage
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/510/2/022045

The access of large-scale distributed generation (DG) to the active distribution network has a great influence on the power flow, node voltage and network loss of the distribution network. In this paper, in order to improve the operation level and economic performance of the active distribution network, the distributed power supply reactive power output and load reduction are used as control variables to establish a multi-objective optimization model with the total network loss, voltage deviation and load reduction cost as the objective function. The voltage of each node, system network loss, load reduction cost and their corresponding control variables are calculated by improved simulated annealing multi-objective particle swarm optimization algorithm. Finally, the IEEE33 node system is used for example verification, the results show that the mathematical model can achieve coordinated control of voltage, reduce network loss and meet the requirements of actual power grid operation.