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An Efficient Parallel Sequential Approach for Transient Stability Emergency Control of Large-Scale Power System

机译:大型电力系统暂态稳定应急控制的有效并行序贯方法

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Generator-tripping and load-shedding are important emergency control measures to maintain the transient stability of the power system. In this paper, emergency control is modeled as a large-scale optimal control problem. An efficient parallel sequential approach, which consists of preprocessing layer, simulation layer, and optimization layer, is proposed to solve the problem. In the preprocessing layer, power system partitioning is performed to construct a Jacobian matrix of double-layered bordered block diagonal (BBD) structure, control variable selection and initialization are designed to reduce computation cost and improve convergence. In the simulation layer, the differential algebraic equations are solved in parallel with the sensitivity analysis by reusing the LU-factorizations. Based on the BBD structure of Jacobian matrix, a parallel block algorithm is proposed to further accelerate computation speed. In the optimization layer, the resulting nonlinear programming problem is efficiently solved by predictor-corrector interior point method. The efficiency and practicality of the proposed approach are verified by numerical experiments on three test systems.
机译:发电机跳闸和甩负荷是保持电力系统暂态稳定的重要应急控制措施。在本文中,应急控制被建模为大规模的最优控制问题。提出了一种由预处理层,仿真层和优化层组成的高效并行顺序方法。在预处理层中,进行电力系统划分以构造双层带边界块对角线(BBD)结构的Jacobian矩阵,设计控制变量的选择和初始化以减少计算成本并提高收敛性。在仿真层中,通过重用LU分解,与灵敏度分析并行地求解微分代数方程。基于雅可比矩阵的BBD结构,提出了一种并行块算法,以进一步加快计算速度。在优化层中,通过预测器-校正器内点法可以有效地解决由此产生的非线性规划问题。通过在三个测试系统上的数值实验,验证了该方法的有效性和实用性。

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