For electricity-carbon pricing, a supply - demand ratio (SDR) based pricing strategy is proposed to dynamically update electricity and carbon allowance prices, which fundamentally guides and
To address the intricate nonlinear optimization challenge at hand, we employ an evolutionary algorithm named the "Dandelion Algorithm" (DA). A rigorous comparative study is
To further improve the electricity market, several price mechanisms need to be refined: the peak and off-peak price mechanism, the critical peak price mechanism, the seasonal tariff
In this way, MGs take part in the post-disaster restoration and enhance its resilience. Firstly, this paper proposes a dynamic restoration electricity price response mechanism after extreme
In this paper, a novel pricing model is presented with the aim of maximizing the utilization of energy generated in the microgrid and reducing the import of energy from the utility grid, whereas
In summary, this paper proposes a two-layer day-ahead trading mechanism for microgrid clusters that quantifies potential economic risks using CVaR theory. The upper-layer microgrid
In this paper, a comprehensive energy management framework for microgrids that incorporates price-based demand response programs (DRPs) and leverages an advanced
nomy-wide decarbonization, the costs of inefficient whole electricity pricing will be much greater than at present. To explore the key features of efficient electricity pricing in future deeply decarbonized
To address these challenges, several studies have been proposed in the literature to overcome the complexities of trading in networked microgrids. This article presents a comprehensive
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