This paper presents a transactive control (TC) mechanism for the management of battery energy storage systems (BESS) in residential networked microgrids (MGs) that contain loads, electric vehicles (EVs), and rooftop solar photovoltaic systems (PV). The goals of the TC are to maximize the savings of consumers and prosumers and to reduce peak load on local transformers. This is accomplished by utilizing local hybrid PV-BESS resources from prosumer community groups (PCGs), which are scheduled to offset peak loads. A model predictive control (MPC) based method is utilized to optimize the BESS scheduling. In the proposed TC, the PCGs are incentivized by the distribution system operator (DSO) through a dynamic price signal that is being updated hourly based on the MG local conditions. To evaluate the proposed TC, case studies are conducted on residential MGs located in an IEEE 33-bus test system. The evaluation indicates that the proposed TC can improve the savings of prosumers/consumers, reduce peak demand caused by EV charging in the distribution networks, and is able to alleviate undesired grid effects, e.g., transformer overloads.

Battery energy storage, Microgrid, Model predictive control, Prosumers, Transactive control
ETAP R&D, Irvine, California, USA
North American Power Symposium

Galvan, E, Mandal, P, Chakraborty, S, & Saber, A.Y. (2018). Efficient transactive control for energy storage management system in prosumer-centric networked microgrids. In 2018 North American Power Symposium, NAPS 2018. doi:10.1109/NAPS.2018.8600679