Determining the impacts of Distributed Energy Resources (DER), both adverse and beneficial, on distribution systems is straightforward and well documented for single DER systems on single distribution feeders. More complex techniques have been developed and implemented for multiple DER systems on multiple feeders that capture the critical aspects including the DER characteristics, DER size and location of interconnection, as well as the unique distribution feeder and its design and operating characteristics. These complex techniques can require significant time and resources. Systematic methods for analyzing the immense number of scenarios that comprise distribution systems are needed. This paper outlines the components and application of a new method that can be efficiently applied for a distribution-wide assessment of DER. Example results through implementation in an actual distribution system are shown.
[1]
M. RYLANDER.
Stochastic Approach for Distribution Planning with Distributed Energy Resources
,
2012
.
[2]
R. Yinger,et al.
Solar PV inverter testing for model validation
,
2011,
2011 IEEE Power and Energy Society General Meeting.
[3]
Barry Mather,et al.
Alternatives to the 15% Rule: Modeling and Hosting Capacity Analysis of 16 Feeders
,
2015
.
[4]
Matthew Rylander,et al.
Streamlined Method for Determining Distribution System Hosting Capacity
,
2015,
IEEE Transactions on Industry Applications.
[5]
Benjamin Kroposki,et al.
Understanding Fault Characteristics of Inverter-Based Distributed Energy Resources
,
2010
.