Optimal Economic Operation of Microgrids Integrating Wind Farms and Advanced Rail Energy Storage System

Majid Moazzami, Jalal Moradi, Hossein Shahinzadeh, Gevork B. Gharehpetian, Hasan Mogoei

Abstract


In this study, an economic model is proposed to simulate the optimal operation of a grid-connected microgrid regard to the uncertainties of microgrids’ components. In this study, the wind farms are considered as renewable resources and an innovative technology of advanced rail energy storage (ARES) is deployed as a storage unit. In the optimization model, the stochastic nature of wind energy and the intermittency of loads are contemplated in the model by employing scenario-based Monte Carlo approach to simulate the implication of uncertainties. The objective function of the optimization problem is defined subject to maximize the profit of microgrid’s components, and the problem is solved by employing crow search algorithm (CSA). Ultimately, the results of the numerical study are presented and discussed which confirm the effectiveness of the model and appropriate performance of the selected storage technology.

Keywords


Optimal Operation, Monte Carlo simulation, Advanced Rail Energy Storage (ARES), Intermittency and ‎Uncertainty, Crow Search Algorithm.

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v8i2.7056.g7401

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