Normalized Kinetic Energy based Generation Reshuffling to Improve Dynamic Security Constrained Optimal Power Flow

R. Jha, Kush Khanna, N. Senroy, B. K. Panigrahi
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引用次数: 2

Abstract

Conventional methods for economic load dispatch do not include dynamic security constraints into the optimization problem; therefore, an insecure generation dispatch may create a blackout scenario under a certain contingency. Such scenarios can be avoided by including dynamic constraints in the optimization problem in the form of voltage stability, small signal stability, transient stability, etc. Transient stability constrained optimal power flow (TSC-OPF) is proposed in this paper to compute dispatch for different generators economically. The proposed TSC-OPF reshuffle generation of machines by withdrawing dispatch from critical machines (threatening the system security) and economically distributing them among non-critical machines. This generation reshuffling is based on deviated normalized kinetic energy of individual machine from the mean value of normalized kinetic energy of all machines in the system at the instant of instability. The proposed method is tested and verified for different test systems such as IEEE 39 bus test system and IEEE 68 bus test system for different contingencies.
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基于归一化动能的发电重组改进动态安全约束最优潮流
传统的负荷经济调度方法没有将动态安全约束纳入优化问题;因此,不安全的发电调度可能会在一定的突发事件下造成停电。通过在优化问题中加入电压稳定、小信号稳定、暂态稳定等形式的动态约束,可以避免这种情况。本文提出暂态稳定约束最优潮流(TSC-OPF),以经济地计算不同发电机组的调度。提出的TSC-OPF通过从威胁系统安全的关键机器中撤回调度,并经济地将其分配给非关键机器来重组机器的生成。这种代重组是基于单个机器的归一化动能偏离系统中所有机器在不稳定时刻的归一化动能均值。在不同的测试系统上,如IEEE 39总线测试系统和IEEE 68总线测试系统,针对不同的事故,对所提出的方法进行了测试和验证。
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