•  
  •  
 

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.

First Page

1196

Revised Date

2020-05-06

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

Share

COinS