Abstract
Conditional Connection Agreements (CCAs) have emerged as a mechanism to enable earlier grid access for customers. However, modelling approaches for systematically evaluating the economic and operational consequences of CCAs remain limited. This paper expands on an existing Julia-based optimisation tool, AggregatorX, to enable systematic evaluation of alternative CCA designs and quantification of their economic consequences.The methodology is demonstrated through a case study of a charging point operator (CPO). Two deterministic CCA designs are analysed, targeting two (seasonal and daily) different congestion patterns. The analysis examines how increasing grid congestion under CCAs affects the CPO’s ability to serve charging demand and the resulting profitability. The results show that moderate reductions in available grid capacity have limited impact on profitability, while more severe constraints lead to a rapid decline in served demand and customer revenue. This highlights the substantial economic value of maintaining a minimum guaranteed grid capacity for customers. Battery storage can partly mitigate these effects by increasing the share of demand that can be served and by providing additional market revenues.