4.6 Lessons learnt Several recommendations for calculating the hosting capacity are extracted from the national and international projects, which are listed as below: Impact factors Based on EPRI [13], [14], following key recommendations on impact factors can be considered while assessing hosting capacity:
• DER impacts should be considered to design and study the realistic, worst-case conditions to ensure adverse impacts to reliability. • The hosting capacity should consider the worst-case and best-case conditions to understand the upper and lower limits that should drive decision making. • Considerable work and research are needed to evolve the data requirements, methods for assessment, and tools to evaluate probabilistic (risk-based) methods to enable better quantification of the hosting capacity upper and lower boundary conditions and evaluate the risk of such conditions. • EPRI recommends carefully considering impact factors while deriving practical applications for the results of a hosting capacity study. • It is also critical to understand how those impact factors are, or could be, considered in the applied hosting capacity method. Optimal mix of data and models Assumptions around voltage regulation, future load profiles, DER profiles and characteristics, phasing, etc. are necessary due to the uncertainties in underlying data, and 100% accurate hosting capacity is not feasible. However, assumptions and understanding their implications can result in a precious outcome. • Model-based approach The recommendation of this approach based on the project that carried out by the University of Melbourne [17] are as follows: o HV Feeder Selection. DNSPs can reduce the modelling efforts, and time by selecting the HV feeders properly (significantly affecting the hosting capacity assessment). This selection should consider several characteristics such as feeder type (i.e., rural, urban, etc.), topology, length, number of customers, number of installed DERs, etc. Here, applying extreme cases aims to investigate a potential solution's viability; thus, that solution is likely applicable (and might perform even better) in milder cases. o Explicitly Model LV Feeders. DNSPs should consider the integrated HV-LV feeder models with detailed modelling for the LV feeders down to household connection points in calculating hosting capacity. This is essential to fully consider the voltage-related control actions from the controllable devices to quantify voltage issues and their effects on hosting capacity assessment. o Cater for Uncertainties. DNSPs should consider the uncertainties related to future DERs location, size, and meteorological and demand profiles to the extent that is possible. • Smart meter-driven approach The recommendation of this approach based on the project that carried out by the University of Melbourne [17] are as follows:
RACE for 2030 N2 OA
Industry capability review |
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