This document discusses multi-microgrid systems projects. It lists key areas like hierarchical energy management with microgrid clusters, grid monitoring with smart meters, and coordinated demand response. It also discusses energy management methods in multi-microgrid systems using techniques like game theory, reinforcement learning, and deep learning. Finally, it outlines the distinctive purposes of multi-microgrid projects like improving user satisfaction, reducing transmission losses, meeting energy demand, and minimizing costs and emissions.

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Multi Microgrid Systems Projects

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Cooling
strategie
s with
HVAC
Hierarchical
energy
management with
MMG clusters
Grid
monitoring
with smart
meter
Coordinated
demand
response
system
Secondary
voltage
control
with MMG
Key Notes of Multi-Microgrid Systems
Multi Microgrid Systems Projects focuses on the core of electricity generation, hereby we have listed down the worthwhile notions of MMG System,

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Supervision of Energy in MMG Systems
Multi Microgrid serves for a variety of real life applications thus we have listed Energy Management methods in Multi Microgrid as follows,
Non cooperative and Stackelberg game theory
01
Deep deterministic policy gradient
02
Double deep Q-learning
03
Deep neural network
04
Model free reinforcement learning
05

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Distinctive Purposes of MMG Systems Projects
Microgrid operates by itself then it is at island mode else it is grid-connected mode here we have listed down the functions of MMG systems,
User satisfaction- Load management (both critical and non-critical)
01
Transmission loss- Abnormal voltage variation
02
Power in transmission lines for transmission loss
03
Serve energy demand, Lack of power in user satisfaction
04
Other metrics- Immediate power failure, Greenhouse gas emission
05
Cost parameters- Power usage, Power savings
06

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