电力系统无功优化规划是一个较复杂、多目标、非线性的混合规划。
The reactive power optimal planning of power system is a complicated nonlinear mixed planning problem with multi-objectives.
介绍了一种无功优化模型，并基于连续二次规划的方法。
This paper presents a reactive power optimization model that is based on successive quadratic programming methods.
本文在matlab优化工具箱的基础上编写了实现序列二次规划法的程序来求解无功优化问题。
In this paper, a program based on MATLAB optimization toolbox implements SQP method to solve RPO problem.
说明：半定规划内点法数据整理交直流系统统一无功优化算法，系数矩阵的确定。
Interior point method for semidefinite programming data collation ac and DC systems unified reactive power optimization algorithm to determine the coefficient matrix.
提出了一种应用于电力系统无功优化的综合改进进化规划方法。
A comprehensive improving evolutionary programming method to optimize voltage and reactive power is presented.
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.
本文建立了农村配电网无功补偿优化规划的模型。
The mathematical model of optimal reactive power planning on rural power distribution network has been established in this paper.
近年来，由于在解决大规模非线性规划问题上的优势，智能算法在电力系统无功优化问题中获得广泛应用。
Intelligent method has been widely used in reactive power optimization because of its superiority in solving the large-scale nonlinear programming problem.
目前有多种配网无功规划优化方法，可分为传统优化算法、智能优化算法和混合法。
At present, there are many methods which are used for the optimal capacitor placement, such as Classical Optimization Algorithm, Artificial Intelligence and Hybrid Algorithm.
本文叙述了采用非线性规划法进行电力系统无功和电压优化的一种实用方法，其数学模型为梯度法。
This paper describes a non-linear programming algorithm for the optimization of voltage and reactive power in the electric power system. The reduced gradient method is used in the algorithm.
本文叙述了采用非线性规划法进行电力系统无功和电压优化的一种实用方法，其数学模型为梯度法。
This paper describes a non-linear programming algorithm for the optimization of voltage and reactive power in the electric power system. The reduced gradient method is used in the algorithm.
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