Abstract
This study presents the results of field tests performed on French medium-voltage distribution networks with two novel algorithms developed in the framework of the evolvDSO Project. Working in the transmission system operator and distribution system operator (TSO–DSO) cooperation domain, the interval constrained power flow tool estimates the flexibility range at primary substations by aggregating the distribution network flexibility. The low-voltage state estimator tool evaluates the voltage profile of a low-voltage (LV) network using an artificial neural network trained on historical data. Based on real-field data and considering various real-life scenarios, both algorithms look promising in terms of efficiency and scalability. Areas of improvement were also identified.
Highlights
Distribution system operators (DSOs) face new challenges with the increase of distributed generation (DG), the usage of new equipment such as electrical vehicles (EVs), the emergence of storage systems as well as new market players such as flexibility aggregators
This paper provides the results collected by applying both algorithms to field data: one LV site consisting of several LV substations was considered for the low-voltage state estimator (LVSE), and two MV networks, each including at least one primary substation and considering different flexibility asset types, were used for the interval constrained power flow (ICPF)
The ICPF tests showed that the tool fulfils its expectations by providing the aggregated active and reactive power flexibility available at the transmission system operator and distribution system operator (TSO–DSO) boundary and its associated flexibility cost map in a reasonable amount of time
Summary
Distribution system operators (DSOs) face new challenges with the increase of distributed generation (DG), the usage of new equipment such as electrical vehicles (EVs), the emergence of storage systems as well as new market players such as flexibility aggregators. Evolvdso.eu), Enedis experimented on field data two original algorithms developed by INESC TEC. The second one, the low-voltage state estimator (LVSE), aims at improving the real-time observability of LV grids [2]. It evaluates their voltage profile, even if they are poorly characterised. This paper provides the results collected by applying both algorithms to field data: one LV site consisting of several LV substations was considered for the LVSE, and two MV networks, each including at least one primary substation and considering different flexibility asset types, were used for the ICPF
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