Micro-Grid integration within the Multi-Microgrid Paradigm - Review
M. MAHAD MALIK, PHD(Power Engg)(Ongoing), MS(EPE), BS(ECE)
Smart Cities | Smart Grid Energy Analytics | ML/AI for Power Systems | Technical Writer | Sustainability
??Limitations:
There are limitations in simultaneously achieving user comfort, power efficiency, and cost-effectiveness.?
??Novelty:
1?? Novelty's claim introduces the smart HVAC thermostat, the multi-agent system (MAS), and prioritized plug-and-play (PPnP) algorithms.?
2?? Additionally, knapsack and prioritized particle swarm optimization (P-PSO) were implemented in MATLAB and the Python Agent Development Environment (PADE).?
3?? To achieve the best outcomes, the researchers have determined the restrictions on real-time (RT) and day-ahead (DA) information exchange within multi-hierarchical structures.
??Results:
??Effective bi-directional communication?
??Advanced energy trading mechanism.
??Effective load control.?
??Maximize user comfort.?
??RTP and day-ahead signals contribute to optimizing the results.
Idea and picture from: