Optimal Control of Photovoltaic Enabled Grid with Energy Storage System in Utility Side

Yu Yang, Hen-Geul Yeh, Son Doan, Hannes Wegleiter

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung


This work introduces a model predictive control (MPC) scheme to reduce power loss and voltage oscillation for a grid connected with photovoltaic cells (PV) and battery energy storage system from utility side. The power consumption data from Southern California Edison (SCE) is used in the DistFlow equations to simulate the dynamics of a power distribution system. A simple battery model is built from terminal voltage versus state-of-charge (SOC) curves with different charge/discharge currents. The proposed MPC coordinates PV-inverter and battery to shift the real power generated from PV cells during the non-demanding time period to the peak time such that the voltage fluctuation can be reduced and meets the operational requirements. Through numerical studies, we show that the battery can be integrated into the end of distribution lines to efficiently manipulate the voltage whereas the power loss can be lowered by increasing the capacity of PV-inverter.
Titel2018 IEEE Green Energy and Smart Systems Conference (IGESSC 2018)
Herausgeber (Verlag)IEEE Xplore
ISBN (elektronisch)978-1-5386-7741-4
PublikationsstatusVeröffentlicht - 2019
Veranstaltung2018 IEEE Green Energy and Smart Systems Conference: IGESSC 2018 - California State University, Long Beach, California, USA / Vereinigte Staaten
Dauer: 29 Okt. 201830 Okt. 2018


Konferenz2018 IEEE Green Energy and Smart Systems Conference
KurztitelIGESSC 2018
Land/GebietUSA / Vereinigte Staaten
OrtLong Beach, California


  • Energy Storage Systems
  • Power Grid


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