在“双碳”背景下，需求响应负荷（DREL）作为一种灵活的电力资产逐渐主动参与到电网调度中，其通常根据分时电价（TOU）安排用电量，借此响应号召，创造新的经济增长点。DREL的能量分布不同于对价格不敏感的传统负荷，随着其渗透率的不断提升，这种差异可能会给配电系统状态估计（DSSE）带来新的挑战。因此，传统负荷的历史剖面不能准确描述DREL行为，从而影响DSSE结果以及其他与DSSE相关的操作。针对此问题，提出了一种基于DREL的DSSE在线伪测量生成算法，建立了用来表示DREL自调整行为的优化模型，并考虑了DREL的不确定性。最终，通过IEEE 123节点测试系统验证了所提算法的有效性。

Under the background of “double carbon”, demand response enabled load (DREL), as a flexible power asset, is gradually actively involved in power grid dispatching. It usually arranges the power consumption according to the time-of-use (TOU) in respond to the calls to create new economic growth points. The energy distribution of DREL is different from the traditional load that is insensitive to price, and as its penetration increases, this difference may bring new challenges to distribution system state estimation (DSSE). Therefore, the historical profile of traditional load cannot accurately describe the DREL behavior, which affects DSSE results and other DSSErelated operations. To solve this problem, an online pseudo-measurement generation algorithm of DSSE based on DREL is presented, and an optimization model for DREL self-adjusting behavior is established, and the uncertainty of DREL is considered. Finally, the effectiveness of the proposed algorithm is verified by IEEE 123 bus test system.