Open AccessOptimal market trading strategy of load aggregator based on comprehensive demand response
Author(s) -
Nan Xu,
Linfeng Wang,
Bo Zhou,
Zihao Zhao,
Jun Nie
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/546/4/042004
Subject(s) - news aggregator , demand response , profit (economics) , energy market , smart grid , aggregate demand , supply and demand , computer science , environmental economics , industrial organization , operations research , business , microeconomics , economics , electricity , engineering , electrical engineering , monetary policy , monetary economics , operating system
With the development of smart grids, load aggregators can aggregate users’ responsive loads through advanced measurement equipment and communication networks to achieve demand response. Establish an integrated demand response (IDR) model in the electric-gas-heat multi-energy day-to-day market model, and then take the LA profit as the optimization goal to study the IDR-based electric-gas-heat optimal joint trading strategy. Through the comparative analysis of the traditional demand response (DR) and the proposed multi-energy market IDR model, it is verified that the proposed multi-energy market IDR model is not only conducive to improving the market profit of LA, but also can meet the multiple loads through the mutual assistance of multiple energy peaks and valleys demand.