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Reserve requirements in AC power systems with uncertain generation

机译:发电量不确定的交流电源系统中的储备要求

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This paper deals with the problem of reserve scheduling for power systems with wind power generation, and proposes a new set-up that incorporates an AC Optimal Power Flow (AC OPF) formulation. The AC OPF problem is nonconvex and in general hard to solve. Here we propose an approach building on convex relaxations of the AC OPF problems and discuss a modification that we believe has certain advantages when combined with the reserve scheduling formulation. Numerical simulations suggest that the proposed relaxation technique results in a feasible solution for the exact problem. Using the proposed modification of the AC OPF problem, we focus on systems with uncertain generation and formulate a chance constrained optimization problem to determine the minimum cost of production and reserves. Due to the complex structure of the resulting problem, we use a heuristic procedure to solve it numerically. This is achieved following a sampling based methodology. The proposed algorithm is applied to the IEEE-30 bus network and is compared against its DC power flow counterpart by means of Monte Carlo simulations.
机译:本文讨论了具有风力发电的电力系统的备用调度问题,并提出了一种新的设置,其中包含了交流最优潮流(AC OPF)公式。 AC OPF问题是非凸的,通常很难解决。在这里,我们提出了一种基于AC OPF问题的凸松弛的方法,并讨论了一种修改方法,我们认为该修改方法与储备调度公式结合时具有一定优势。数值模拟表明,所提出的松弛技术为精确问题提供了可行的解决方案。通过对AC OPF问题的拟议修改,我们将重点放在发电不确定的系统上,并制定机会受限的优化问题,以确定最低的生产成本和储量。由于所产生问题的复杂结构,我们使用启发式方法对其进行数值求解。这是通过基于采样的方法实现的。所提出的算法被应用于IEEE-30总线网络,并通过蒙特卡罗模拟与之比较。

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