Journal of System Simulation
Abstract
Abstract: In order to give full play to the regulating role of electricity price on the market, considering the difference of consumers' response behavior to real-time pricing, consumers are divided into short-term consumers, mixed consumers and long-term consumers, and the real-time pricing models of three types of consumers are constructed based on the electricity price elasticity matrix. On this basis, a day-ahead dispatching model of source-load coordination based on consumer’s response behavior to real-time pricing is established. With the help of the MOST toolkits in MATPOWER and the Mosek solver, the arithmetic analysis is developed in a modified IEEE 57-buses system, and the comparison results with the traditional economic scheduling model prove the validity of the proposed model. The influence of different real-time pricing responses on economic dispatching is analyzed, and relevant discussions and conclusions have certain reference value for economic Dispatching considering demand response.
Recommended Citation
Yun, Liu; Song, Han; and Huang, Qiuli
(2021)
"Day-Ahead Dispatching Model of Source-Load Coordination Based on Response Behavior to Real-Time Pricing,"
Journal of System Simulation: Vol. 33:
Iss.
5, Article 20.
DOI: 10.16182/j.issn1004731x.joss.20-0031
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss5/20
First Page
1196
Revised Date
2020-05-06
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0031
Last Page
1204
CLC
TM73;TP391
Recommended Citation
Liu Yun, Han Song, Huang Qiuli. Day-Ahead Dispatching Model of Source-Load Coordination Based on Response Behavior to Real-Time Pricing[J]. Journal of System Simulation, 2021, 33(5): 1196-1204.
DOI
10.16182/j.issn1004731x.joss.20-0031
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