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Dynamic optimal operation scheduling of microgrid using binary gravitational search algorithm

机译:基于二进制重力搜索算法的微电网动态最优调度

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摘要

With the emergence of energy crisis and environmental pollution, the concept of microgrid (MG) is receiving much attention today. The optimal operation scheduling is an important research topic in the field of MG. In this paper, binary gravitational search algorithm (BGSA) is proposed to optimize the operation scheduling of MG dynamically, which includes dynamic optimal unit commitment and power dispatch. At first, according to the characteristics of MG operation and its internal relations between different time periods, a mathematical optimization model is established to achieve the least operation and environmental cost, while meeting the load demand and system operating requirements. In order to solve this complex optimal problem, BGSA is proposed to optimize the unit commitment and power dispatch of MG. The simulation results show that the proposed method has efficient performance in optimizing operation scheduling of MG dynamically, and thus can improve the technical level of MG operation for more economic and environmental benefits.
机译:随着能源危机和环境污染的出现,微电网(MG)的概念今天受到了广泛关注。最优调度是MG领域的重要研究课题。本文提出了一种二进制重力搜索算法(BGSA)来动态优化MG的运行调度,包括动态最优机组投入和功率分配。首先,根据MG运行的特点及其在不同时间段之间的内部关系,建立了一个数学优化模型,以实现最小的运行和环境成本,同时满足负荷需求和系统运行要求。为了解决这个复杂的最优问题,提出了BGSA来优化MG的机组投入和功率分配。仿真结果表明,该方法具有动态优化MG运行调度的高效性能,可以提高MG运行的技术水平,具有更大的经济效益和环境效益。

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