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Parallel solution of transient stability constrained optimal power flow by exact optimality condition decomposition

机译:精确最优性条件分解的暂态稳定并行求解约束了最优潮流

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摘要

Power systems are required to achieve an optimally economic operating point while maintaining security and stability in the presence of credible contingencies. Transient stability constrained optimal power flow (TSCOPF) is a tool to bridge steady-state optimal power flow (OPF) with transient processes under a predefined set of simulated contingencies to guarantee post-fault rotor angle stability in a simulation time window. A parallel solution of TSCOPF using exact optimality condition (OC) decomposition is proposed, where generator swing equations are utilised recursively by exploring the structure of OCs of TSCOPF from the end of simulation time window to its beginning to derive an exact explicit expression consisting of generator-dynamics-related variables in terms of the steady-state variables. The OCs of the TSCOPF model are then decomposed into the OC of OPF, along with a parallel evaluation of this expression for each contingency. Multi-core processing units are applied to accelerate the evaluation process. Case studies with up to 1047 buses over 16 contingences demonstrate an 8× improvement in the computation for realistically sized power systems using the proposed decomposition strategy.
机译:电力系统需要达到最佳的经济运行点,同时在出现紧急事故时保持安全性和稳定性。暂态稳定约束最优功率流(TSCOPF)是一种工具,用于在一组预定义的突发事件下用瞬态过程桥接稳态最优功率流(OPF),以确保故障后转子角在仿真时间窗口内的稳定性。提出了一种使用精确最优条件分解的TSCOPF并行解决方案,通过从仿真时间窗的末尾到其开始探索TSCOPF OC的结构,递归地利用了发电机摆动方程,从而得出由发电机组成的精确显式。在稳态变量方面与动力学有关的变量。然后,将TSCOPF模型的OC分解为OPF的OC,并针对每个意外情况对该表达式进行并行评估。应用多核处理单元以加快评估过程。案例研究最多有1047列总线超过16个行列,使用拟议的分解策略可对实际规模的电力系统进行8倍的改进。

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