Journal of System Simulation ›› 2021, Vol. 33 ›› Issue (5): 1196-1204.doi: 10.16182/j.issn1004731x.joss.20-0031

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Day-Ahead Dispatching Model of Source-Load Coordination Based on Response Behavior to Real-Time Pricing

Liu Yun, Han Song, Huang Qiuli   

  1. Department of Electrical Engineering, Guizhou University, Guiyang 550025, China
  • Received:2020-01-10 Revised:2020-05-06 Online:2021-05-18 Published:2021-06-09

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.

Key words: real-time pricing, consumers'behavior, source-load coordination, day-ahead dispatching, MATPOWER

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