Open AccessPeak-valley time division model based on net load curve
Author(s) -
Junhong Guo,
Xiaoqiang Xue,
Ling Li,
Yiping Cheng,
Yajie Li
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 - 10.1088/1755-1315/467/1/012037
Subject(s) - bidding , division (mathematics) , competition (biology) , power (physics) , distributive property , database transaction , thermal power station , power market , computer science , electric power system , economics , microeconomics , mathematics , electrical engineering , engineering , ecology , physics , arithmetic , quantum mechanics , pure mathematics , programming language , biology
As China has been quickly promoting its power market reform, the degree of thermal power units participating in market transaction has been gradually deepened. Aiming at different situations of load, thermal power units need to adopt bidding strategy accordingly. In power system with high proportion of renewable energy, the competition curve that thermal power units actually face is no longer total load curve. Proper division of peak-valley time intervals will guide thermal power units to adjust bidding strategy positively and effectively in the competition. A net-load-curve-based peak-valley time division model is built in this paper with the help of K-means algorithm. And then the paper contrasts and analyses the distributive characteristics of total and net load curves through a calculation example to verify the positive effect this model has on accurate bid for thermal power units.