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Short-term resource scheduling of a renewable energy based micro grid

机译:基于可再生能源的微电网的短期资源调度

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In recent years due to the decreasing fossil fuel reserves and the increasing social stress, complex power networks have no other choices except to seek for alternative energy sources to eliminate the environmental issues caused by the traditional power systems. Thus, the scheduling of energy sources in a complex Micro-Grid (MG) comprising Micro Turbine (MT), Photo Voltaic (PV), Fuel Cell (FC), battery units and Wind Turbine (WT) has been investigated in this paper. Furthermore, a multi-objective framework is presented to simultaneously handle the two objective functions including minimization of total operation cost and minimization of emission. In this regard, Normal Boundary intersection (NB!) technique is employed to solve the proposed multi-objective problem and generate the Pareto set. Besides, a fuzzy satisfying method is used for decision making process. Afterward, the results obtained from the presented method are compared to the ones derived from other methods. Finally, it is verified that the proposed solution method results in better solutions for operation cost, emission and the execution time. (C) 2014 Elsevier Ltd. All rights reserved.
机译:近年来,由于化石燃料储备的减少和社会压力的增加,复杂的电力网络除了寻求替代能源以消除传统电力系统所造成的环境问题外别无选择。因此,本文研究了复杂的微电网(MG)中的能源调度,该微电网包括微型涡轮(MT),光伏(PV),燃料电池(FC),电池组和风力涡轮(WT)。此外,提出了一个多目标框架来同时处理两个目标功能,包括最小化总运营成本和最小化排放。在这方面,采用法向边界相交(NB!)技术解决提出的多目标问题并生成帕累托集。此外,在决策过程中采用了模糊满足法。然后,将本方法获得的结果与其他方法得出的结果进行比较。最后,验证了所提出的解决方案能够为运营成本,排放和执行时间提供更好的解决方案。 (C)2014 Elsevier Ltd.保留所有权利。

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