A Novel Energy Management Control Scheme for a Standalone PV System in a DC Nanogrid

• Published in: Electronics (Basel) Vol. 12; no. 23; p. 4725
• Main Authors: Nkembi, Armel Asongu, Santoro, Danilo, Cova, Paolo, Delmonte, Nicola
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2023
• Subjects: Alternative energy sources; Batteries; Closed loops; Control systems; Developing countries; Distributed generation (Electric power); Efficiency; Electric potential; Electric power distribution; Electrical loads; Energy consumption; Energy management; Energy management systems; Energy sources; Energy storage; Irradiance; LDCs; Mathematical models; Maximum power tracking; Methods; Photovoltaic cells; Photovoltaic power generation; Power converters; Power management; Robustness (mathematics); Simulation; Solar energy; Storage systems; Systems stability; Tracking control; Voltage; Italy
• ISSN: 2079-9292; 2079-9292
• DOI: 10.3390/electronics12234725

Distributed energy resources (DERs), such as photovoltaic (PV) sources, together with storage systems, such as battery energy storage systems (BESS), are increasingly present and necessary in our electricity distribution networks. Furthermore, the need for efficient use of energy from DERs, especially in developing countries and remote communities, must be addressed with the development of nanogrids (NGs), particularly DC NGs, and standalone PV systems with adequate control strategies. This paper investigates the control and dynamic operation of a standalone PV system. It consists mainly of three DC–DC power converters for the PV source interface, battery management, and load voltage control. A two-level modulation scheme is applied to each of these converters to switch them ON and OFF. A maximum power point tracking (MPPT) closed-loop voltage control system is implemented to make sure that the PV operates at optimum power regardless of the irradiance level or temperature, while battery voltage and load-side voltage control are also implemented to indirectly provide the required load power. The control of each of the converters is achieved by deriving their small-signal models using a state-space approach from which various control objectives are implemented. The DC-link is clamped by a BESS which acts as a backup source to provide power to the DC load in the absence of sufficient power from the PV panel. The dynamic operation of the whole system is enhanced by proposing a robust feedforward scheme that improves the response of the system in the presence of disturbances. The models are analyzed and implemented using PLECS, and numerical simulations are performed to validate the developed models and control schemes.