Development of a distributed group control strategy for pumping well groups connected by multisource DC microgrids.

Area of Science:

• Electrical Engineering
• Power Systems
• Control Systems

Background:

• Multisource DC microgrids powering pumping units face voltage and power fluctuations due to alternating loads and new energy integration.
• These fluctuations include superimposed peak and valley values, challenging grid stability.

Purpose of the Study:

• To develop and validate a distributed control strategy for pumping unit well groups in multisource DC microgrids.
• To mitigate voltage and power fluctuations using a weighted moving average algorithm.

Main Methods:

• A centralized control program was implemented in RTUs (Remote Terminal Units) for individual pumping unit controllers.
• Communication was established via SCADA (Supervisory Control and Data Acquisition) and multicast protocols for a distributed system.
• The weighted moving average algorithm predicted power values to adjust inverter frequency, stabilizing power peaks and valleys.

Main Results:

• The distributed control strategy effectively suppressed active power peak/valley values and bus system voltage fluctuations.
• Active power fluctuation rate decreased by over 70%, and DC bus voltage fluctuation range decreased by over 80%.
• A reduction of approximately 6% in active power consumption was achieved without additional hardware costs.

Conclusions:

• The proposed distributed control strategy offers an effective solution for stabilizing multisource DC microgrid pumping unit well groups.
• The weighted moving average algorithm provides a robust method for managing power fluctuations and improving grid stability.
• This approach demonstrates significant performance improvements and cost-effectiveness in real-world applications.