An Investment Decision Model of Distribution Network Planning Based on Correlation Mining of Reconstruction Measures and Loss Load Index

3rd International Conference on Automation, Control and Robotics Engineering

工业技术;计算机科学;无线电电子学

Xiong, Jun^1 ; Liu, Zhixuan^2 ; Xiang, Yue^3 ; Chai, Yanxin^3 ; Liu, Junyong^3 ; Liu, Youbo^3

State Grid Xiamen Electric Power Supply Company, Xiamen

361000, China^1

State Grid Fujian Electric Power Research Institute, Fuzhou

350007, China^2

Sichuan University, Chengdu

610065, China^3

关键词: Distribution network planning;    Environmental-friendly;    Multi-agent interaction;    Network infrastructure;    Neural network method;    Optimal investment decision;    Power flow calculations;    Smart distribution networks;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/428/1/012011/pdf
DOI  :  10.1088/1757-899X/428/1/012011

来源: IOP

【 摘 要 】

In recent years, how to build a reliable, high-efficient, high-tech and environmental-friendly distribution network infrastructure and service system, especially to accurately assess the reliability impact of various technical measures and establish optimal investment decision model for the future distribution network planning, has great theoretical and practical significance. However, the traditional analysis of investment decision model of distribution network is based on complex power flow calculation, which is not suitable for current construction of large and smart distribution network with multi-agent interaction under electrical market environment. Therefore, in this paper, based on the sample data, the correlation mining methods of the reconstruction measures and loss load index, such as neural network method, are applied to analyse the relationship between different types of reconstruction measures and loss load index. Based on the correlation mining methods, the relationship between the reconstruction measures and loss load index can be obtained and the value of loss load can be fast predicted. Through the comparison the relationship between reconstruction measures and loss load index, the optimal reconstruction measures can be chosen, and the data relationship based accurate investment decision model can be built. Experimental result shows the accuracy and effectiveness of the presented methodology.