CLC number: TM715
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2013-11-18
Cited: 2
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Mahdi Samadi, Mohammad Hossein Javidi, Mohammad Sadegh Ghazizadeh. Modeling the effects of demand response on generation expansion planning in restructured power systems[J]. Journal of Zhejiang University Science C, 2013, 14(12): 966-976.
@article{title="Modeling the effects of demand response on generation expansion planning in restructured power systems",
author="Mahdi Samadi, Mohammad Hossein Javidi, Mohammad Sadegh Ghazizadeh",
journal="Journal of Zhejiang University Science C",
volume="14",
number="12",
pages="966-976",
year="2013",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1300008"
}
%0 Journal Article
%T Modeling the effects of demand response on generation expansion planning in restructured power systems
%A Mahdi Samadi
%A Mohammad Hossein Javidi
%A Mohammad Sadegh Ghazizadeh
%J Journal of Zhejiang University SCIENCE C
%V 14
%N 12
%P 966-976
%@ 1869-1951
%D 2013
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1300008
TY - JOUR
T1 - Modeling the effects of demand response on generation expansion planning in restructured power systems
A1 - Mahdi Samadi
A1 - Mohammad Hossein Javidi
A1 - Mohammad Sadegh Ghazizadeh
J0 - Journal of Zhejiang University Science C
VL - 14
IS - 12
SP - 966
EP - 976
%@ 1869-1951
Y1 - 2013
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1300008
Abstract: demand response is becoming a promising field of study in operation and planning of restructured power systems. More attention has recently been paid to demand response programs. Customers can contribute to the operation of power systems by deployment demand response. The growth of customers’ participation in such programs may affect the planning of power systems. Therefore, it seems necessary to consider the effects of demand response in planning approaches. In this paper, the impact of demand responsiveness on decision making in generation expansion planning is modeled. Avoidance or deferment in installation of new generating units is comprehensively investigated and evaluated by introducing a new simple index. The effects of demand responsiveness are studied from the points of view of both customers and generation companies. The proposed model has been applied to a modified IEEE 30-bus system and the results of the study are discussed. Simulation results show that reducing just 3% of the customers’ demand (due to price elasticity) may result in a benefit of about 10% for customers in the long term.
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