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1. Distributed power quality enhancement using residential power routers

   https://doi.org/10.1109/APEC.2018.8341060  

   Zhao, Shuang; Wang, Zhongjing; Umuhoza, Janviere; Mantooth, Alan; Zhao, Yue; Farnell, Chris (March 2018, Applied Power Electronics Conference 2018)

   To address power quality issues in the residential split-phase distribution systems, a novel residential power router (RPR) is proposed in this paper. It consists of a dual-half bridge (DHB) converter and a split-phase inverter. The DHB provides the galvanic isolation and bidirectional power flow channel for the distributed generation terminal. The split-phase inverter can work as the active power filter, the reactive power compensator, and balance the power of two phases. The power balancing mode is critical to a residential microgrid, especially when the utility grid is not accessible. A proportional quasi-resonance and resonance (PQRR) controller is adopted to eliminate the steadystate error for harmonics compensation. Simulation and experimental results are presented in this paper to validate the feasibility and effectiveness of the proposed RPR for residential applications. 

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2. Distributed Networked Microgrids Power Flow

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   Feng, Fei; Zhang, Peng; Zhou, Yifan; Wang, Lizhi (May 2022, IEEE Transactions on Power Systems)
3. Distributed Storage Investment in Power Networks

   https://doi.org/10.23919/ACC.2019.8814777  

   Qin, Junjie; Li, Sen; Poolla, Kameshwar; Varaiya, Pravin (July 2019, 2019 American Control Conference (ACC))

   null (Ed.)

   The value created by aggregating behind-the-meter distributed energy storage devices for grid services depends on how much storage is in the system and the power network operation conditions. To understand whether market-driven distributed storage investment will result in a socially desirable outcome, we formulate and analyze a network storage investment game. By explicitly characterizing the set of Nash equilibria (NE) for two examples, we establish that the uniqueness and efficiency of NE depend critically on the power network conditions. Furthermore, we show it is guaranteed that NE support social welfare for general power networks, provided we include two modifications in our model. These modifications suggest potential directions for regulatory interventions. 

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4. Distributed Optimization and Distributed Learning: A Paradigm Shift for Power Systems

   Al-Tawaha, Ahmad; Cibaku, Elson; Park, SangWoo; Lavaei, Javad; Jin, Ming (August 2025, IEEE systems journal)
5. ADMM-Based Distributed DC Optimal Power Flow with Power Flow Control

   https://doi.org/10.1109/NAPS56150.2022.10012190  

   Rui, Xinyang; Liu, Mingxi; Sahraei-Ardakani, Mostafa; Nudell, Thomas R. (January 2023, 2022 North American Power Symposium (NAPS))