  Hosting capacity analysis is essential for effective integration of
distributed energy resources into distribution systems. This paper discusses
hosting capacity analysis with emphasis on various aspects affecting the
process. This paper addresses key research gaps, aiming to improve the
accuracy, scalability, and practicality of hosting capacity estimation.
Standardized methodologies are highlighted as a need to ensure consistent
hosting capacity estimation across distribution systems. Validation and
benchmarking frameworks are emphasized for evaluating various estimation
approaches. The potential of data-driven techniques, is also discussed for
enhancing hosting capacity analysis. Real-time and dynamic estimation
techniques which account for changing system conditions are explored, as well
as the integration of hosting capacity analysis with distribution planning and
operations. Uncertainty quantification and risk assessment in hosting capacity
analysis are identified as crucial areas, advocating for probabilistic and
stochastic modelling. This study also emphasizes the importance of considering
multiple DER interactions and synergies in hosting capacity analysis, enabling
a comprehensive understanding of system performance. This survey aims to serve
as a valuable resource for researchers, practitioners, and policymakers,
providing insights into advancements made and guiding future research efforts
to address identified gaps.
