In this study, we propose an evolutionary game theoretic model to explore optimal TOU pricing for development of renewable energy-powered microgrids by applying a multi-agent system, that comprises a ...
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In this study, we propose an optimization model of time-of-use pricing for the user-side microgrid from the perspective of power supply chain management. The objective of this model is to
The conventional microgrid models involve a third-party service provider, which partly reduces the enthusiasm for peer-to-peer trading because of the service fe
Consequently, the article suggests a method for optimizing electricity prices based on TOU electricity pricing to reduce the costs associated with investing in power grids.
In this chapter of the monograph, the game-theoretic model of stimulation of strategic behavior of DER and ESS/prosumers as part of Microgrid systems is presented. The proposed
In our study, we propose a multi-objective dispatch model for a hybrid microgrid comprising a wind generator, photovoltaic (PV) generator, and an energy storage system to optimize
Therefore, considering the TOU electricity prices on both the generation side and the load side, this paper presents an optimization strategy for the bidirectional TOU electricity price for
After multilevel game equilibrium is reached, the electricity prices of power producers and MGOs and the interactive electricity prices between the MGOs considered in this paper can be obtained, as shown
In this study, we propose an evolutionary game theoretic model to explore optimal TOU pricing for development of renewable energy-powered microgrids by applying a multi-agent system, that
By dynamically adjusting the time-of-use electricity prices and implementing a tiered carbon pricing system, this paper presents a comprehensive strategy for formulating optimized
The simulation shows that the model can objectively distribute the peak-shaving and valley-filling benefits brought by time-of-use electricity price through electricity price signal
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