Optimal allocation of renewable energy resources for minimising emissions in distribution networks

2011 ◽  
Author(s):  
M.A. Abdullah ◽  
A.P. Agalgaonkar ◽  
K.M. Muttaqi
Keyword(s):  
Renewable Energy ◽  
Optimal Allocation ◽  
Distribution Networks ◽  
Energy Resources ◽  
Renewable Energy Resources

scholarly journals A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid Including Renewable Energy Resources

2021 ◽  
Vol 18 (15) ◽  
pp. 8146
Author(s):  
Bilal Naji Alhasnawi ◽  
Basil H. Jasim ◽  
Zain-Aldeen S. A. Rahman ◽  
Josep M. Guerrero ◽  
M. Dolores Esteban
Keyword(s):  
Renewable Energy ◽  
Data Exchange ◽  
Transmission Control Protocol ◽  
Distribution Networks ◽  
Power Sharing ◽  
Energy Resources ◽  
Primary Control ◽  
Renewable Energy Resources ◽  
Diesel Generator ◽  
Multi Agent

The increasing integration of Renewable Energy Resources (RERs) in distribution networks forms the Networked Renewable Energy Resources (NRERs). The cooperative Peer-to-Peer (P2P) control architecture is able to fully exploit the resilience and flexibility of NRERs. This study proposes a multi-agent system to achieve P2P control of NRERs based Internet of Things (IoT). The control system is fully distributed and contains two control layers operated in the agent of each RER. For primary control, a droop control is adopted by each RER-agent for localized power sharing. For secondary control, a distributed diffusion algorithm is proposed for arbitrary power sharing among RERs. The proposed levels communication system is implemented to explain the data exchange between the distribution network system and the cloud server. The local communication level utilizes the Internet Protocol (IP)/Transmission Control Protocol (TCP), and Message Queuing Telemetry Transport (MQTT) is used as the protocol for the global communication level. The effectiveness of the proposed system is validated by numerical simulation with the modified IEEE 9 node test feeder. The controller proposed in this paper achieved savings of 20.65% for the system, 25.99% for photovoltaic, 35.52 for diesel generator, 24.59 for batteries, and 52.34% for power loss.

Sign in / Sign up

Export Citation Format

Share Document