王建军, 傅 晨, 费 斐, et al. Power capacity planning considering the participation of virtual power plants in peak shaving market[J]. 2022, 24(4).
DOI:
王建军, 傅 晨, 费 斐, et al. Power capacity planning considering the participation of virtual power plants in peak shaving market[J]. 2022, 24(4). DOI: 10.3969/j.issn.1009-1831.2022.04.002.
Power capacity planning considering the participation of virtual power plants in peak shaving market
Peak load greatly reduces the installed utilization rate and investment benefit of power supply. The participation of virtual power plant in peak shaving can effectively delay the construction of power supply. Firstly
a fuzzy interval estimation method considering multi-domins and multiple evaluation indexes is proposed to solve the problem that the schedulable capacity of urban virtual power plants cannot be calculated accurately. This method decomposes the schedulable capacity estimation task into the fields of industry
construction and transportation
and constructs a fuzzy interval evaluation model considering user participation
revenue sensitivity
resource controllability and controllable scale. Then
based on fuzzy estimation of schedulable capacity
a power capacity planning method considering the participation of virtual power plant in peak shaving is proposed. Under the condition of meeting the power reserve capacity
the power capacity planning model is constructed by taking the minimum power expansion installation capacity as objective function
considering various factors such as different power structures
new energy output uncertainty
virtual power plant schedulable capacity
and so on. Finally
a city in East China is taken as an example to verify the effectiveness of the proposed method.