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Distributed optimal power flow for islanded microgrids: An application to the Smart Polygeneration Microgrid of the Genoa University

机译:孤岛微电网的分布式最佳功率流:热那亚大学智能多联产微电网的应用

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摘要

In this work, the application of an original distributed optimal power flow method to test a microgrid in the Savona area, Italy is proposed. The microgrid shows different types of Distributed Energy Resources (DERs) and is connected to the main grid through a fixed power bus. Due to the high computational speed, the applied distributed Optimal Power Flow can be performed almost in real time, i.e. every 5 minutes or less. The operating solution found for generators, simply using local information, corresponds to a suboptimal condition with reduced losses, bus voltages and line currents within constrained intervals. The distributed optimization algorithm is iterative, but also fast. It is based on the use of Kirchhoff and simplified power flow equations and heuristic rules and can be employed for islanded and grid connected medium or small networks. Test results on a real world test system, the Savona Campus “Smart Polygeneration Microgrid” (SPM), prove that a few iterations are enough to converge to a sub-optimal solution.
机译:在这项工作中,提出了一种原始的分布式最优潮流方法在意大利萨沃纳地区的微电网测试中的应用。微电网显示不同类型的分布式能源(DER),并通过固定电源总线连接到主电网。由于较高的计算速度,所施加的分布式最佳功率流几乎可以实时执行,即每5分钟或更短的时间执行一次。简单地使用本地信息为发电机找到的运行解决方案对应于在限制间隔内降低损耗,母线电压和线电流的次优条件。分布式优化算法是迭代的,但速度也很快。它基于基尔霍夫(Kirchhoff)的使用以及简化的潮流方程和启发式规则,可用于孤岛和网格连接的中型或小型网络。在真实世界的测试系统Savona校园“智能多代微电网”(SPM)上的测试结果证明,几次迭代足以收敛到次优解决方案。

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