孤岛微电网的分布式最优潮流:热那亚大学智能多联产微电网的应用

L. Buono, E. R. Sanseverino, M. L. D. Silvestre, S. Bracco, F. Delfino
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引用次数: 4

摘要

本文提出了一种新颖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。微电网呈现不同类型的分布式能源(DERs),并通过固定的电力母线与主电网相连。由于计算速度快,所应用的分布式最优潮流几乎可以实时执行,即每5分钟或更少。为发电机找到的运行解决方案,简单地使用本地信息,对应于在约束间隔内减少损耗、母线电压和线路电流的次优状态。分布式优化算法是迭代的,但速度很快。它基于Kirchhoff和简化的潮流方程以及启发式规则的使用,可用于孤岛和并网的中小型网络。在现实世界的测试系统——萨沃纳校园“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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed optimal power flow for islanded microgrids: An application to the Smart Polygeneration Microgrid of the Genoa University
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.
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