新能源电力系统国家重点实验室, 华北电力大学, 北京市 102206
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Sufficient grasp of flexibilities available from resources on demand side can better realize day-ahead optimal scheduling and reasonably provide ancillary services to power grids. However, the resources on demand side have abundant species, large quantities, small capacities and strong randomness. In addition, resources on demand side are usually distributed in different locations at the bottom of the system structure. Thus, these flexibilities need to be integrated and quantified. This paper takes the nodes with high-penetration of distributed energy as the research object. Virtual battery model with robust boundary is used to quantatively describe the flexibilities of aggregated electric vehicles and photovoltaic output considering their uncertainties. Based on the proposed virtual battery model, the transactive platform participates in the day-ahead electricity market and adopts a coordinated optimization strategy to reasonably allot energy schedule and reserve capacity. The case study verifies the effectiveness of the proposed method, which can reduce computational complexity caused by high-penetration distributed energy, and reduce the exposure risk of privacy electricity information for users.
WU Jiechen, AI Xin, HU Junjie, et al. Optimal Dispatch of Flexible Resource on Demand Side Considering Uncertainties[J]. Automation of Electric Power Systems, 2019, 43(14):73-80. DOI:10.7500/AEPS20181109004.