As the number of microgrids(MGs) continues to increase, multi-micro grids peer-to-peer (P2P) energy trading plays a crucial role in promoting regional energy interconnection and the local consumption of clean energy. ...
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ISBN:
(数字)9798350386127
ISBN:
(纸本)9798350386134
As the number of microgrids(MGs) continues to increase, multi-micro grids peer-to-peer (P2P) energy trading plays a crucial role in promoting regional energy interconnection and the local consumption of clean energy. Since each MG operates as an independent entity, there is often an information gap between them under partial-decision information, which may lead to inefficient or suboptimal transactions. To address this challenge, this paper proposes a distributed optimization method for P2P energy trading under partial-decision information. First, multi-micro grids transaction model is established, accounting for limited information exchange. then, the model is enhanced based on estimations between participants, followed by parallel computation using the inexact alternating direction multiplier method (I-ADMM). Finally, through case analysis, it is demonstrated that after more than 10 iterations, the transactions between MGs converge to a consistent state.
In the last decades, many kinds of task execution models such as grid and cloud computing have been developed. In such distributed systems, each task is processed by respective processor in multicored computers e.g., ...
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ISBN:
(纸本)9781479932177
In the last decades, many kinds of task execution models such as grid and cloud computing have been developed. In such distributed systems, each task is processed by respective processor in multicored computers e.g., household PCs which we can easily harness in recent years. If there is one policy to automatically decide the "best" combination and the number of processors (and computers), we effectively utilize those computational resources, thereby large number of jobs can be executed in parallel. In this paper, we propose a method for mapping of execution units for such environments. the method adopts a remapping technology after processor-execution unit mapping[11] is finished. Experimental comparisons by a simulation show the advantages of the proposed method.
以广州地铁9号线4标段马莲盾构隧道施工为例,利用Plaxis 3D Tunnel有限元分析软件分析了近距离平行盾构隧道施工引起的地面沉降规律。研究结果表明:右线单线穿越时,地面沉降呈正态分布,水平位移呈"蝶形"分布;双线穿越时,地面...
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以广州地铁9号线4标段马莲盾构隧道施工为例,利用Plaxis 3D Tunnel有限元分析软件分析了近距离平行盾构隧道施工引起的地面沉降规律。研究结果表明:右线单线穿越时,地面沉降呈正态分布,水平位移呈"蝶形"分布;双线穿越时,地面沉降呈"W"型分布,水平位移的分布是单个隧道施工产生的水平位移的叠加;随着地层损失率的增加,右线单线穿越时的最大沉降量和沉降范围均不断增大。在右线隧道体积损失率一定时,随着左线隧道体积损失率的增大,沉降槽中线逐渐接近左线隧道的轴线位置,沉降槽最大沉降量出现位置也随之移动。现场监测数据验证了模拟结果的准确性,也说明马莲盾构隧道右线地层损失率为2. 5%,左线地层损失率为2. 4%。
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