Outputs (3)

Distributed State of Charge-Based Droop Control Algorithm for Reducing Power Losses in Multi-Port Converter-Enabled Solar DC Nano-Grids (2021)
Journal Article
Samende, C., Bhagavathy, S. M., & McCulloch, M. (2021). Distributed State of Charge-Based Droop Control Algorithm for Reducing Power Losses in Multi-Port Converter-Enabled Solar DC Nano-Grids. IEEE Transactions on Smart Grid, 12(6), 4584-4594. https://doi.org/10.1109/TSG.2021.3089362

This paper aims to address the power loss problem of multi-port converter-enabled solar DC nano-grids (or simply nano-grids) that are designed to provide energy access in rural areas. Nano-grids are low voltage DC energy systems that are built for en... Read More about Distributed State of Charge-Based Droop Control Algorithm for Reducing Power Losses in Multi-Port Converter-Enabled Solar DC Nano-Grids.

Power Loss Minimisation of Off-Grid Solar DC Nano-Grids-Part II: A Quasi-Consensus-Based Distributed Control Algorithm (2021)
Journal Article
Samende, C., Bhagavathy, S. M., & McCulloch, M. (2021). Power Loss Minimisation of Off-Grid Solar DC Nano-Grids-Part II: A Quasi-Consensus-Based Distributed Control Algorithm. IEEE Transactions on Smart Grid, 13(1), 38-46. https://doi.org/10.1109/TSG.2021.3111779

This paper investigates the power loss minimization problem of solar DC nanogrids that are designed to provide energy access to households in off-grid areas. We consider nano-grids with distributed battery storage energy systems and that are enabled... Read More about Power Loss Minimisation of Off-Grid Solar DC Nano-Grids-Part II: A Quasi-Consensus-Based Distributed Control Algorithm.

Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints (2021)
Journal Article
Samende, & Fan. (2021). Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints. Astronomical Journal, https://doi.org/10.48550/arXiv.2108.09053

In this paper, we investigate an energy cost minimization problem for prosumers participating in peer-to-peer energy trading. Due to (i) uncertainties caused by renewable energy generation and consumption, (ii) difficulties in developing an accurate... Read More about Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints.