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Optimal energy scheduling of micro-grids considering the uncertainty of solar and wind renewable resources
Journal of Scheduling ( IF 1.4 ) Pub Date : 2022-06-20 , DOI: 10.1007/s10951-022-00739-5
Mohammad Ali Taghikhani , Behnam Zangeneh

Nowadays, electricity consumption in industrial and domestic sectors is growing increasingly. In recent years, due to the expansion of consumption and increased concern about environmental pollution resulting from the use of fossil fuels to generate electricity and running out of the resources, using renewable energies such as wind and solar has been considered. One of the problems in these resources is the inherent uncertainty as well as accidental nature of these sources, which complicates planning and forecasting of resources. In this paper, optimal scheduling of micro-grid connected to the main grid with renewable energy resources is studied with the help of mixed-integer linear programming in general algebraic modeling system (GAMS) software. A diesel generator is used in cooperation with other renewable resources so as to control the load instability. Furthermore, stochastic programming and probabilistic scenarios are used in order to model the uncertainty of wind and solar resources. Solar power is predicted to be in the interval of hour 6th to hour 19th. At the outset and also at the end of day, power generation has the minimum amount, while the maximum amount of power generation can be found at hour 13th. Battery charging occurrence is in the case of low load, which is existent for the grid in all the scenarios (nights: at hours 2nd to 5th; days: at hours 13th to 15th). Selling the energy to the main grid is performed at the times in which the denoted price possesses the peak value (at hours 8th to 12th and 19th to 22th). Finally, operation cost of the micro-grid using the proposed method is compared with genetic algorithm, which confirms the efficiency of the method.



中文翻译:

考虑太阳能和风能可再生资源不确定性的微电网能量优化调度

如今,工业和家庭部门的用电量日益增长。近年来,由于消费的扩大以及对使用化石燃料发电和资源枯竭所造成的环境污染的日益关注,已经考虑使用诸如风能和太阳能等可再生能源。这些资源的问题之一是这些资源的固有不确定性和偶然性,这使资源的规划和预测变得复杂。本文借助通用代数建模系统(GAMS)软件中的混合整数线性规划,研究了可再生能源与主电网相连的微电网的优化调度问题。柴油发电机与其他可再生资源配合使用,以控制负荷不稳定性。此外,使用随机规划和概率场景来模拟风能和太阳能资源的不确定性。太阳能预计将在第 6 小时到第 19 小时的时间间隔内使用。在一天的开始和结束时,发电量最小,而最大的发电量可以在第 13 个小时找到。电池充电发生在低负载的情况下,在所有场景中都存在于电网中(夜间:2 时至 5 时;白天:13 时至 15 时)。向主电网出售能源的时间是标价达到峰值的时间(8 日至 12 日和 19 日至 22 日)。最后,

更新日期:2022-06-22
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