Microgrids
are revolutionary power systems that interconnect a mix of renewable power generation, load, storage systems,
and inverters in a small-scale grid network. Operating microgrids while
maintaining a consistent grid voltage and frequency during the islanding and
disruption of renewables has been a challenging research problem. In this
paper, a preliminary microgrid agent implementation is presented using SPADE
(Smart Python Agent Development Environment)
as a powerful development framework that has been used extensively in many application domains. Agents autonomously
managed and operated microgrid individual components. A multiagent microgrid
system was modeled to seamlessly operate and optimize energy balance by coordinating the actions of agents. Agents
were built to forecast energy demand
and solar power and coordinate to balance generation with load while maintaining optimal power flow and adequate
network voltage and frequency.
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