Title :
Research on typical power customers load model of urban distribution network
Author :
Cailian Gu ; Li Liu ; Jun Zhou ; Quanli Guo
Author_Institution :
Shenyang Inst. of Eng., Shenyang, China
Abstract :
In modem electric power systems,a reasonable accurate representation of load is necessary for power system stability and dynamic analysis. Load modeling is one of the most important cause effecting the precision and credibility of the simulation result. For a long time, load modeling studies have been behind the development of the electric power industry. The basic theoretical knowledge of electrical load modeling is introduced and load characteristics of a variety of typical power consumer are also described in the thesis, realistic load modeling methods are selected, improved Comprehensive statistical method combined with the actual modeling ideas is used to construct load model, based on the typical consumer load data, the industrial load static model and the industrial load static model of actual power network are obtained. A useful exploration are carried out for improved comprehensive statistical method to come to practical; what is the most important is that solid foundation is built for establishing integrated actual load model of a urban distribution network in northeast area, new method of industrial load forecast for the region is provided, and the credibility of industrial load simulation of the heavy industrial area is improved.
Keywords :
electricity supply industry; load forecasting; power distribution planning; power system dynamic stability; statistical analysis; electric power industry; improved comprehensive statistical method; industrial load forecast; industrial load simulation; industrial load static model; integrated actual load model; power customers load modeling method; power network; power system dynamic analysis; power system stability; urban distribution network; Abstracts; Analytical models; Assembly; Electricity; Load modeling; Mathematical model; Stability analysis; City Distribution Network; Fuzzy clustering; Load model; The typical power user;
Conference_Titel :
Electricity Distribution (CICED), 2014 China International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICED.2014.6992260