Abstract
The phenomenon that the utilization of conventional energy resources poses significant pollution problems to environment makes the realization of nearly net-zero Microgrids (MGs) imminent. Based on such context, this paper presents a time-of-use (TOU) pricing strategy for the net-zero MG in considering uncertainty in residential load, wind power and photovoltaic (PV) power. The multi-objective of the proposed model mainly includes minimizing the load variance, maximizing the rate of user satisfaction and minimizing the proportion of users abandoning renewable energy resources. The linear function of elastic price on user demand is utilized to optimize the TOU electricity price. The non-dominated sorting NSGA-II algorithm is leveraged to solve the TOU electricity price. The simulation results show that the proposed TOU pricing strategy is beneficial for both energy consumers and renewable energy resources, which facilitates a sustainable net-zero MGs eventually.
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