Power Generation Technology ›› 2023, Vol. 44 ›› Issue (2): 261-269.DOI: 10.12096/j.2096-4528.pgt.21119

• Smart Grid • Previous Articles     Next Articles

Pricing Method for Season of Use in Integrated Energy Park

Jiangwu DU1, Xiaoqiang TANG2, Zhiwei LUO3, Dunnan LIU4, Jixu CHEN3, Erfeng XU4,6, Sheng BI5   

  1. 1.Fujian Branch, China Huadian Corporation Ltd. , Fuzhou 350001, Fujian Province, China
    2.Fujian Huadian Energy Retail Co. , Ltd. , Fuzhou 350001, Fujian Province, China
    3.Huadian (Fujian) Wind Power Co. , Ltd. , Fuzhou 350001, Fujian Province, China
    4.School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China
    5.Huadian Electric Power Research Institute Co. , Ltd. , Hangzhou 310030, Zhejiang Province, China
    6.Zhejiang Zheneng Energy Service Co. , Ltd. , Hangzhou 310002, Zhejiang Province, China
  • Received:2021-12-29 Published:2023-04-30 Online:2023-04-28
  • Supported by:
    National Social Science Foundation of China(19ZDA081);China Huadian Corporation Ltd(CHDKJ20-02-05)

Abstract:

Integrated energy park is the basic unit of new electric power system dominated by renewable energy. Depending on distributed generators, the energy production and consumption nearby and self-balance of park are achieved. The contradiction of seasonal load mismatch between distributed generators and users can be released by tapping demand response potential and stipulating different season of use (SOU) price. A pricing method for SOU price in integrated energy park was put forward accordingly. First of all, considering characteristics of load and demand response, users were classified by k-means clustering algorithm. Then, according to unbalance load of park, SOU periods were determined by k-means clustering algorithm. At last, the optimization model was established to stipulate SOU price of different types of users. As the case shown, based on this method, SOU price can promote local consumption of distributed generators efficiently and raise the utilization ratio of clean energy and overall economic benefit of park.

Key words: new power system, integrated energy park, distributed generator, season of use price, k-means clustering, demand response

CLC Number: