A time-series hosting capacity assessment of the maximum distributed energy resource production

The penetration of distributed energy resources (DER) is growing significantly in recent times, especially the integration of distribution systems (DS). The transition of a DS from no DER to high DER penetration must avoid unfavourable operating conditions. For this purpose, the hosting capacity (HC) concept has been introduced in recent years to assess the installation issues. This study applies a time-series HC methodology to an MV radial distribution network devoid of any DER to evaluate features between the maximum HC assessed on the examined buses and the load behaviours on the Kumamoto network test case. The method is developed by means of the HC toolbox provided by DIgSILENT PowerFactory and exploiting the Python application programming interface (API); A deterministic approach is improved into a time-series methodology in the programming language environment.