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An Outage Management for Multiple Interconnected Microgrids Preserving Privacy in Transactive Energy Scheme

机译:交互式能源计划中多个互连微电网的停机保护隐私保护

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This paper presents an outage management problem to preserve privacy for multiple interconnected microgrids (MGs) in a transactive energy (TE) scheme. In this regard, this problem is modeled based on the alternating direction method of multipliers (ADMMs) approach. In this concept, after any unexpected outage in grids, all MGs adjust their optimal schedule individually; then, only bounded data will be exchanged to calculate the amount of trading required power. ADDM can repetitively converge local computed values in a few iterations. This way aims to protect prosumer's privacy and minimize total network cost. To guarantee the accuracy of trading values, the proposed methodology implements a DC optimal power flow (DC-OPF) model under a quadratic programming (QP) formulation. The proposed framework is considered on 4-MGs test grid and two cases are presented for detailed investigation. Numeric results confirm the efficient convergence speed and private performance of the proposed scheme.
机译:本文提出了一种中断管理问题,以在事务能源(TE)方案中保护多个互连微电网(MG)的隐私。在这方面,此问题是基于乘数的交替方向方法(ADMM)方法建模的。在这个概念中,在电网中发生任何意外中断后,所有MG都会分别调整其最佳计划。然后,仅交换有限的数据来计算交易所需的权力量。 ADDM可以在几次迭代中重复地收敛局部计算值。这种方法旨在保护生产者的隐私并最大程度地降低网络总成本。为了保证交易价值的准确性,所提出的方法在二次规划(QP)公式下实现了DC最优潮流(DC-OPF)模型。在4-MGs测试网格上考虑了提出的框架,并提出了两个案例进行详细调查。数值结果证实了该方案的有效收敛速度和私有性能。

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