Distributed response strategy of electric heating loads based on temperature queue sorting

Abstract

In order to eliminate the adverse impact of the rapid growth of electric heating loads (EHLs) on the safe and stable operation of the power grid under the background of the development of clean heating, a distributed response strategy based on demand response technology is proposed. Based on the thermodynamic dynamic model of EHLs, its demand response capability is analyzed, and then the processes of EHLs centralized response strategy and temperature queue sorting distributed response strategy are compared. The core advantage of the distributed response strategy of temperature queue sorting is that the distributed control of EHLs is realized by setting the response threshold and recovery threshold for the two indicators of frequency and temperature, which not only takes into account the user's comfort, but also ensures the significant improvement of frequency drop under fault. A two zone test system is established, and the simulation verifies the effectiveness of the proposed response strategy. The results show that the EHLs temperature queue sorting distributed demand response strategy can effectively suppress the sharp decline of frequency in case of system failure, and avoid the impact of a large number of EHLs responses on the power grid, which plays a positive role in the safe and stable operation of the power grid.