论文研究了动态无功优化的数学模型和粒子群优化算法。
The paper studies the mathematical model of the dynamic reactive optimization and the particle swarm optimization (PSO).
设计了无功优化控制系统的软件体系结构，建立了动态无功优化数学模型。
The software structure of the reactive power control system is designed and dynamic reactive power optimization model is established.
提出了一种完整的配电网络非线性混合整数动态无功优化模型及数学优化算法。
This paper presents an integrated mixed-integer/nonlinear dynamic reactive-power optimization model and algorithm for power distribution network.
针对动态无功优化方法研究，本文提出了一种多时段无功电压控制的两阶段优化方法。
For studying on dynamic reactive power optimization, a two-phase optimization method of multi-period reactive power and voltage control is proposed to confine the action times of control devices.
根据电力系统实际运行中负荷不断变化的情况，提出了动态无功优化问题的完整数学描述和计算方法。
With the consideration of the varying load of power system, a complete mathematical representation of dynamic reactive power optimization and its calculation method are presented.
这种建立模型的思想还可以应用到需要计算海森矩阵的动态无功优化、最优潮流以及状态估计等问题的算法中，以提高其计算速度。
This proposed modeling idea can also be applied to dynamic reactive optimization, optimal power flow and state estimation for a faster calculation.
目前，无功优化方法主要有线性规划法，非线性规划法，混合整数规划法，动态规划法等传统的数学优化方法，以及人工智能优化算法。
The algorithm mostly includes the tradition math optimization means, such as linear layout, nonlinear layout, mixed integral layout means, dynamic layout means, and artificial intelligence algorithm.
目前，无功优化方法主要有线性规划法，非线性规划法，混合整数规划法，动态规划法等传统的数学优化方法，以及人工智能优化算法。
The algorithm mostly includes the tradition math optimization means, such as linear layout, nonlinear layout, mixed integral layout means, dynamic layout means, and artificial intelligence algorithm.
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