Capacity Optimization of Wind–Solar–Storage Multi-Power Microgrid
Taking a microgrid in South China as an application scenario, the model is solved and the optimal capacity allocation scheme of the microgrid is obtained.
Taking a microgrid in South China as an application scenario, the model is solved and the optimal capacity allocation scheme of the microgrid is obtained.
In order to alleviate the impact of intermittent wind and solar power generation on residential electricity consumption, Tajouo et al. (2023) and Zarate-Perez et al. (2023)
Abstract: In recent years, the power system has been evolved into micro grids, which are little pockets of self-contained entities. Different distributed, interconnected generation units, loads,
Taking a microgrid in South China as an application scenario, the model is solved and the optimal capacity allocation scheme of the
Based on the IEEE 69-bus system, the white shark optimizer (WSO) algorithm and Cplex solver were used to solve the model, and the optimal capacity configuration scheme and planning
In this context, the optimal design of hybrid renewable energy systems (HRES) that combine solar, wind, and energy storage technologies is critical for achieving sustainable and
Based on the research of wind power, photovoltaic, energy storage, hydrogen production and fuel cell systems, this paper builds a wind-solar hydrogen storage multi-energy
Integrating solar and wind energy with battery storage systems into microgrids is gaining prominence in both remote areas and high-rise urban buildings. Optimally designing all...
Based on the research of wind power, photovoltaic, energy storage, hydrogen production and fuel cell systems, this paper builds a wind-solar hydrogen storage multi-energy
solve the problem of electricity consumption in remote areas. Based on the research of wind power, photovoltaic, energy storage, hydrogen production and fuel cell systems, this paper
Numerous studies have shown that the combination of sources with complementary characteristics could make a significant contribution to mitigating the variability of energy
Based on the IEEE 69-bus system, the white shark optimizer (WSO) algorithm and Cplex solver were used to solve the model, and the optimal capacity configuration scheme and planning
This study constructed a multi-energy complementary wind-solar-hydropower system model to optimize the capacity configuration of wind, solar, and hydropower, and
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