Yuwen Liu, Kaiwen Li, Lede Hu, Weiqin Sun, Zhaojun Liu
Line loss electricity; Energy interconnection distribution network;Source-grid-load-storage coordination; Distributed power generation;Multi-objective optimization
To solve the optimization of line loss electricity in energy intercon- nection distribution network, this study deeply analyzes the char- acteristics of Source-Grid-Load-Storage (SGLS), applies power flow theory to describe the process of line loss generation, and constructs an optimization model for power loss in energy interconnection dis- tribution lines. Then, the SGLS coordination strategy is introduced, with the main objective of minimizing the power loss of the distribu- tion network. Non dominated sorting genetic algorithm is used for multi-objective optimization solution. After implementing the strat- egy, the peak power of residential and industrial users decreased to around 6300kW and 7000kW, respectively. The load transfer rate was within 10%-30%, and the Gini coefficient of load balance was within 0.2-0.3. The results indicate that the designed line loss op- timization method based on optimization algorithm can effectively reduce line loss and provide strong support for the efficient operation of energy interconnection distribution networks.
Important Links:
Go Back
