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Energy management of community microgrids considering degradation cost of battery

机译:考虑电池退化成本的社区微电网能源管理

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摘要

A storage system is a key component of a microgrid. Over the last few years, research has been undertaken to determine optimal management of microgrid resources. Battery storage has a significant impact on the total operational cost as the lifetime of the battery reduces during charging and discharging cycles. In this paper, we propose optimal energy management of a community microgrid in which the cost function includes the degradation cost of the battery and a dynamic penalty to reflect the true operational cost. Particle swarm optimisation (PSO) is used to determine the battery control actions for real-time energy management. Several case studies are presented to demonstrate the effectiveness of the proposed framework in which the new cost function reduces electricity cost by up to 44.50% compared to a baseline method and 37.16% compared to another existing approach.
机译:存储系统是微电网的关键组成部分。在过去的几年中,已经进行了研究以确定微电网资源的最佳管理。由于在充电和放电周期中电池的寿命会缩短,因此电池存储对总运营成本有重大影响。在本文中,我们提出了社区微电网的最佳能源管理,其中成本函数包括电池的退化成本和反映真实运营成本的动态损失。粒子群优化(PSO)用于确定电池控制动作以进行实时能量管理。提出了几个案例研究,以证明所提出框架的有效性,其中新的成本函数与基准方法相比,可将电力成本降低多达44.50%,与另一种现有方法相比,可将电力成本降低37.16%。

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