Multi-temporal Active Power Scheduling and Voltage/var Control in Autonomous Microgrids
This paper presents a multi-temporal approach for the energy scheduling and voltage/var control problem in a microgrid (MG) system with photovoltaic (PV) generation and energy storage devices (PV-battery MG) during islanded operation conditions. A MG is often defined as a low voltage (LV) distribution grid that encompasses distributed energy resources and loads that operate in a coordinated way, either connected to the upstream distribution grid or autonomously (islanded from the main grid). Considering the islanded operation of the MG during a given period, it is necessary to develop proper tools that allow the effective coordination of the existing resources. Such tools should be incorporated in the MG control system hierarchy in order to assure proper conditions for the operation of the autonomous MG in terms of active power, voltage and reactive power management. Energy storage devices are essential components for the successful operation of islanded MG. These devices have a very fast response and are able to absorb/inject the right amount of power. For the operation of the MG in islanding conditions during a longer period, it is necessary to integrate information related to the forecasting of loads and PV-based generation for the upcoming hours for which is intended to maintain MG in islanded operation. Therefore, this paper presents a tool to be integrated in the Microgrid Central Controller (MGCC) that is responsible to perform a multi-temporal optimal power flow (OPF) in order to schedule the active and reactive power within the MG for the next time intervals.
KeywordsMicrogrid Voltage/var control Storage dispatch Renewable energy integration Autonomous operation
This work was financed by the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalization - COMPETE 2020 Programme and by National Funds through the FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project “ERANETLAC/0005/2014”.
- 3.Gouveia, C.S.T.: Experimental validation of microgrids: exploiting the role of plug-in electric vehicles, active load control and micro-generation units. Ph.D. Thesis, University of Porto, Faculty of Engineering, Porto (2014)Google Scholar
- 4.Moreira, C.C.L.: Identification and development of microgrids emergency control procedures. Ph.D. Thesis, University of Porto, Faculty of Engineering, Porto (2008)Google Scholar
- 5.Nascimento, I.L.A.: Voltage and reactive power control in autonomous microgrids. M.Sc. Dissertation. University of Porto, Faculty of Engineering, Porto (2017)Google Scholar
- 7.Marnay, C., et al.: Microgrid evolution roadmap. In: 2015 International Symposium on Smart Electric Distribution Systems and Technologies (EDST), Viena (2015)Google Scholar
- 10.McKay, C.: Energy storage networks, WTWH Media LLC and its licensors, 25 January 2018. https://www.energystoragenetworks.com/three-battery-types-work-grid-scale-energy-storage-systems/. Accessed 18 Oct 2018
- 11.Zimmerman, R., Murillo-Sánchez, C.: Matpower 6.0 User’s Manual, PSerc (2016)Google Scholar