2020/11/25 by Chathurika P. Mediwaththe, Mediwaththe, Chathurika P., Lachlan Blackhall +1
Engineering · #FOS: Electrical engineering #FOS: Mathematics #Microgrid Control and Optimization #Optimal Power Flow Distribution #Optimization and Control (math.OC) #Smart Grid Energy Management #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2011.12540
openalex publication_date 2020/11/25 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
In this paper, the extent to which the integration of rooftop photovoltaic\n(PV) power with a community energy storage (CES) system can reduce energy cost\nand distribution network (DN) loss is explored. To this end, three energy\ntrading systems (ETSs) are compared; first, an ETS where PV users exchange\nenergy with the CES system in addition to the grid, second, an ETS where PV\nusers merely exchange energy with the CES system, and third, an ETS where PV\nusers only exchange energy with the grid. A multi-objective optimization\nframework, combined with a linear distribution network power flow model, is\ndeveloped to study the trade-off between the energy cost and network power loss\nreductions while satisfying the DN voltage and current flow limits.\nSimulations, with real energy demand and PV power data, highlight that enabling\nthe energy exchange between the users and the CES system can give a better\ntrade-off between the DN power loss and energy cost reductions. Further,\nsimulations demonstrate that all three ETSs deliver nearly 85% DN energy loss\nreduction with significantly increased revenues compared to an ETS without a\nCES system.\n