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A new approach to optimization of dynamic reactive power sources addressing FIDVR issues

机译:一种新的动态无功电源优化方法解决超弱问题

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Dynamic reactive power (var) sources, e.g. SVCs and STATCOMs, can effectively mitigate fault-induced delayed voltage recovery (FIDVR) issues or even voltage collapse. However, their optimal allocation in a power grid is a complicated nonlinear optimization problem since the post-fault voltage trajectories have to be solved to check constraints on voltage responses. Thus, solvers of both nonlinear optimization and power system differential and algebraic equations (DAEs) are required. This paper proposes a new approach to optimize the sizes of dynamic var sources at candidate locations by efficiently interfacing a heuristic linear programming based searching algorithm with power system simulation software. Case studies on a 9-bus system and the IEEE 39-bus system have benchmarked the new approach with an existing representative approach and demonstrated that the new approach can quickly converge to an optimal solution.
机译:动态无功功率(var)源,例如, SVCS和Statcoms,可以有效减轻故障引起的延迟电压恢复(FIDVR)问题甚至电压崩溃。 然而,它们在电网中的最佳分配是复杂的非线性优化问题,因为必须解决断层后电压轨迹以检查对电压响应的约束。 因此,需要非线性优化和电力系统差分和代数方程(DAES)的求解器。 本文提出了一种新方法,通过有效地接口基于电力系统仿真软件的启发式线性编程搜索算法来优化候选位置的动态var源大小。 对9总线系统的案例研究和IEEE 39总线系统具有现有代表方法的新方法,并证明了新方法可以快速收敛到最佳解决方案。

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