2026-10-14T07:03:50Z https://data.mendeley.com/oai

oai:data.mendeley.com/67jnbjfk35.1 2026-09-18T11:36:43Z

Faria, António Input Dataset for OPF-Based Network-Constrained Scheduling of a 37-Bus Renewable Energy Community Mendeley Data This dataset provides the complete input data used to model and schedule a 22-member Renewable Energy Community (REC) connected to a 37-bus radial medium-voltage distribution feeder, under a deliberately stress-tested DER portfolio combining high renewable penetration with low dispatchable and flexible capacity. The network topology, branch impedances and thermal ratings follow the original 37-bus test feeder; the DER and market configuration were modified to construct this scenario: the electric vehicle fleet was capped at ten vehicles per member (219 vehicles in total), two additional wind generation sites were added at buses that previously hosted dispatchable combined-heat-and-power (CHP) units, and all CHP capacity was removed. The dataset includes hourly (24-hour) load, PV and wind generation profiles, reactive demand, retail/wholesale/peer-to-peer tariffs, battery energy storage system parameters, and per-vehicle EV fleet data (battery capacity, efficiencies, power limits, connection status and trip energy consumption), together with the full network topology and base values. It was used to compare network-constrained (OPF-based, Relaxed Branch Flow Model) and economic-only REC scheduling, quantifying the economic cost of guaranteeing distribution-grid feasibility. Energy Engineering Dataset doi:10.17632/67jnbjfk35.1 oai:data.mendeley.com/67jnbjfk35.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/67jnbjfk35 2026-09-18T11:36:43Z