研究目的
To propose a distributed cooperative control scheme for achieving average bus voltage consensus in a DC microgrid with photovoltaics (PVs), considering the State of Charge (SoC) balance and power limits of Battery Storage Units (BSUs).
研究成果
A consensus based distributed control framework is proposed to ensure the microgrid average DC bus voltage consensus and the proportional power sharing according to the SoC level by considering power limits of the batteries. The distributed method only uses neighboring information exchange to achieve the global communication and thus avoid the single point of failure in centralized control. Through the eigenvalues analysis, PV-BSUs system under the controller designed are proven to be stable. Simulations and experimental demonstration validate the effectiveness of the control strategy in voltage regulation and load sharing.
研究不足
The dynamic of SoC is much slower compared to that of the controller, thus the SoC of the battery is deemed constant for stability analysis. The system's stability is guaranteed only if the controller is stable within the full range of SoC.
1：Experimental Design and Method Selection:
A two-level hierarchical control framework for battery storage units (BSUs) control based on the consensus protocol is proposed. The primary control level adopts the conventional droop control, independent of the communication. The secondary control utilizes the consensus protocol to modify the reference voltage for the primary control, using only neighbor-to-neighbor communication.
2：Sample Selection and Data Sources:
The model of the photovoltaic-battery based DC microgrid system is established in PSCAD/ETMDC with parameters listed in a table.
3：List of Experimental Equipment and Materials:
Lithium battery (220V, 40Ah), DC/DC Converter, DC load, Line resistor.
4：Experimental Procedures and Operational Workflow:
The control strategy is tested under different scenarios including comparison between droop control and consensus control, parameter variation, and power limit scenarios.
5：Data Analysis Methods:
Eigenvalue analysis is conducted to validate the stability of the system under the proposed controller. Simulation and experimental results are analyzed to demonstrate the efficacy of the proposed method.
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