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Day-Ahead Corrective Adjustment of FACTS Reactance: A Linear Programming Approach

机译:FaCTs Reactance的日前纠正调整:线性规划方法

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摘要

abstract: Reserve requirements serve as a proxy for N-1 reli-ability in the security-constrained unit commitment (SCUC) problem. However, there is no guarantee that the reserve is deliv-erable for all scenarios (post-contingency states). One cheap way to improve reserve deliverability is to harness the flexibility of the transmission network. Flexible AC transmission system (FACTS) devices are able to significantly improve the transfer capability. However, FACTS utilization is limited today due to the complexi-ties these devices introduce to the DC optimal power flow prob-lem (DCOPF). With a linear objective, the traditional DCOPF is a linear program (LP); when variable impedance based FACTS devices are taken into consideration, the problem becomes a non-linear program (NLP). A reformulation of the NLP to a mixed integer linear program, for day-ahead corrective operation of FACTS devices, is presented in this paper. Engineering insight is then introduced to further reduce the complexity to an LP. Alt-hough optimality is not guaranteed, the simulation studies on the IEEE 118-bus system show that the method finds the globally optimal solution in 98.8% of the cases. Even when the method did not find the optimal solution, it was able to converge to a near-optimal solution, which substantially improved the reliability, very quickly.
机译:摘要:储备要求可作为安全约束单位承诺(SCUC)问题中N-1可靠性的代理。但是,不能保证储备金可以在所有情况下(应急后状态)分配。一种提高储备交付能力的廉价方法是利用传输网络的灵活性。灵活的交流传输系统(FACTS)设备能够显着提高传输能力。但是,由于这些设备引入直流最优功率问题(DCOPF)的复杂性,今天FACTS的使用受到限制。对于线性目标,传统的DCOPF是线性程序(LP)。当考虑基于可变阻抗的FACTS器件时,问题就变成了非线性程序(NLP)。本文介绍了将NLP重新编写为混合整数线性程序,以进行FACTS设备的日前校正操作。然后引入工程洞察力,以进一步降低LP的复杂性。虽然不能保证Alt-最优性,但对IEEE 118总线系统的仿真研究表明,该方法在98.8%的情况下找到了全局最优解。即使该方法没有找到最佳解决方案,它也可以收敛到接近最佳的解决方案,从而极大地提高了可靠性。

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