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Integration of optimal operational dispatch and controller determined dynamics for microgrid survivability

机译:集成最佳运营调度和控制器确定的动态,以实现微电网的生存能力

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摘要

The reliability and resilience of the electrical power grids are essential to industry, economy and society. Microgrids that are able to island from the bulk electrical grid are one technology that may vastly improve electrical power service to customer loads. To achieve these improvements, an islanded microgrid should be able to operate through the loss of one of its generators without shedding electrical load. The loss of one generator will typically result in significant additional loads, including transient overloads, being placed on the remaining generators. There is also the possibility of additional generator tripping during these processes (i.e. cascading failures), which would likely result in the collapse of the microgrid. The novelty of our work consists in incorporating dynamic models of generator controllers into a microgrid optimal dispatch formulation with the ultimate goal to avoid operational failures and ensure the "survivability" of all-inverter microgrids to generator loss and transient overloads. The integration of generator and controller dynamics into the optimal dispatch formulation significantly increases the computational complexity. As we develop algorithms to restore speed of the optimization, our method can be readily implemented into a new operational strategy capable of an unprecedented level of reliability against generator contingencies. In addition, we quantitatively illustrate the effect of the survivability constraints on the microgrid operating costs and how the related trade-off between capital and operating costs should be taken into account at the design stage. The methods developed here also apply to the dispatch of off-grid microgrids.
机译:电网的可靠性和弹性对工业,经济和社会至关重要。能够从大电网中脱颖而出的微电网是一项可以极大改善为客户负载提供电力服务的技术。为了实现这些改进,孤岛式微电网应该能够通过损失其中一台发电机而运行,而不会减少电负载。一台发电机的损耗通常会导致相当多的额外负载(包括瞬态过载)被施加到其余的发电机上。在这些过程中还可能会产生额外的发电机跳闸(即级联故障),这很可能导致微电网崩溃。我们工作的新颖性在于将发电机控制器的动态模型纳入微电网最佳调度公式中,其最终目标是避免运行故障并确保全逆变器微电网对发电机损耗和瞬态过载具有“生存能力”。将发电机和控制器动力学集成到最佳调度公式中会大大增加计算复杂性。随着我们开发算法以恢复最优化的速度,我们的方法可以很容易地实现为一种新的运行策略,该策略能够针对发电机意外情况提供前所未有的可靠性。另外,我们定量地说明了生存能力约束对微电网运营成本的影响,以及在设计阶段应如何考虑资本和运营成本之间的相关权衡。这里开发的方法也适用于离网微电网的调度。

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