Abstract
Smart community setups nowadays are subjected to complicated issues such as instability, intermittent integration of the load at the demand side, and lack of intelligent two-way communication process. These issues need to be addressed in terms of a balanced power demand dispatch (DD) in the real-time or day-ahead duplex signal regime under multi-microgrids. This paper offers an intelligent multi-agent-based approach that works between different levels of communication and their respective layers for a community-based system to optimize the power in community-based multi-microgrids model. This will further enhance user personal comfort. Constraints relative to cost minimization also have a relation with this model. A three-level structure with various layers of autonomous agents take intelligent decisions based on prioritized particle swarm optimization (P-PSO), prioritized plug and play (PPnP), and knapsack; considering DD as the main driver of the system to address objectives like price and power consumption uncertainties. Distinct smart home models, depending upon their living habits, are keenly observed providing their power infrastructure and personal comfort. Load appliances considered as load agents are individually contemplated for maximum proficiency. Furthermore, two-way communication between utility and consumers lowers down the risk of the inefficiency of the system.
Highlights
AND MOTIVATIONDue to the energy challenges that we are facing in the developing world, the smart interaction between different sources and the consuming bodies is an efficient way out
We have identified the limitations of day-ahead (DA) and real-time (RT) information sharing among multi hierarchical structure to get the optimum results
Both deterministic and stochastic approaches are used in paper [21] to check the system performance, and it is observed that cost projection is 1700% higher in case of deterministic approach than that of stochastic approach and more than 370% increment in cost estimation is observed with the penetration of PV system
Summary
Due to the energy challenges that we are facing in the developing world, the smart interaction between different sources and the consuming bodies is an efficient way out. Smart community setup evolves state of the art and unique trend to present a cost-effective solution, keeping in view user comfort and renewable energy penetration into the electrical grid. MAS, when integrated with the smart community, provides a fast communication and self-sustainable setup with optimal control for overall efficiency and power effective solution. Proposed research work provides a deep understanding of agents involved in the smart community network. It proposes an overall optimized model that consists of a multilayered controller-based hierarchical structure that takes multiple criteria decisions for reforming multi-microgrid (MMG) structure. P-PSO, PPnP, and knapsack are used side by side with specific objective function to get optimum results with respect to price, efficiency, user comfort, and controlled effect on the thermostat of heavy load i.e. HVAC.
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