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Decentralized Optimal Control for Photovoltaic Systems Using Prediction in the Distribution Systems

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  • Chi-Thang Phan-Tan

    (Electrical and Electronic Department, Munster Technological University, Bishopstown, T12 P928 Cork, Ireland)

  • Martin Hill

    (Electrical and Electronic Department, Munster Technological University, Bishopstown, T12 P928 Cork, Ireland)

Abstract

The high penetration of photovoltaic (PV) systems and fast communications networks increase the potential for PV inverters to support the stability and performance of microgrids. PV inverters in the distribution network can work cooperatively and follow centralized and decentralized control commands to optimize energy production while meeting grid code requirements. However, there are older autonomous inverters that have already been installed and will operate in the same network as smart controllable ones. This paper proposes a decentralized optimal control (DOC) that performs multi-objective optimization for a group of PV inverters in a network of existing residential loads and autonomous inverters. The interaction of independent DOC groups in the same network is considered. The limit of PV inverter power factor is included in the control. The DOC is done by the power flow calculation and an autoregression prediction model for estimating maximum power point and loads. Overvoltage caused by prediction errors resulting in non-optimal commands from the DOC is avoided by switching to autonomous droop control (ADC). The DOC and ADC operate at different time scales to take account of communication delays between PV inverters and decentralized controller. The simulation of different scenarios of network control has proved the effectiveness of the control strategies.

Suggested Citation

  • Chi-Thang Phan-Tan & Martin Hill, 2021. "Decentralized Optimal Control for Photovoltaic Systems Using Prediction in the Distribution Systems," Energies, MDPI, vol. 14(13), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3973-:d:587307
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    References listed on IDEAS

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    1. Collins, L. & Ward, J.K., 2015. "Real and reactive power control of distributed PV inverters for overvoltage prevention and increased renewable generation hosting capacity," Renewable Energy, Elsevier, vol. 81(C), pages 464-471.
    2. Tonkoski, Reinaldo & Lopes, Luiz A.C., 2011. "Impact of active power curtailment on overvoltage prevention and energy production of PV inverters connected to low voltage residential feeders," Renewable Energy, Elsevier, vol. 36(12), pages 3566-3574.
    3. Milad Gholami & Alessandro Pilloni & Alessandro Pisano & Elio Usai, 2021. "Robust Distributed Secondary Voltage Restoration Control of AC Microgrids under Multiple Communication Delays," Energies, MDPI, vol. 14(4), pages 1-22, February.
    4. Samadi, Afshin & Shayesteh, Ebrahim & Eriksson, Robert & Rawn, Barry & Söder, Lennart, 2014. "Multi-objective coordinated droop-based voltage regulation in distribution grids with PV systems," Renewable Energy, Elsevier, vol. 71(C), pages 315-323.
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    Cited by:

    1. Trinadh Pamulapati & Muhammed Cavus & Ishioma Odigwe & Adib Allahham & Sara Walker & Damian Giaouris, 2022. "A Review of Microgrid Energy Management Strategies from the Energy Trilemma Perspective," Energies, MDPI, vol. 16(1), pages 1-34, December.
    2. Yu Fujimoto & Akihisa Kaneko & Yutaka Iino & Hideo Ishii & Yasuhiro Hayashi, 2023. "Challenges in Smartizing Operational Management of Functionally-Smart Inverters for Distributed Energy Resources: A Review on Machine Learning Aspects," Energies, MDPI, vol. 16(3), pages 1-26, January.

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