通过OPF算法求解电力系统无功优化问题。
So the problem of system reactive power optimization is solved through OPF algorithm.
提出了一种在线求解电力系统无功优化问题的方法。
An approach to on-line optimization of reactive power flow is proposed.
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.
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.
电力系统无功优化对保证电压质量及系统安全性和经济性有着重要的意义。
Reactive power optimization is very important for ensuring the quality of voltage, security and economics of power system.
应用该方法求解电力系统无功优化问题时能有效处理目标函数中的大量不等式约束。
Using the improved method for power system reactive power optimization a large number of inequality constraints in the objective function can be effectively dealt with.
为提高解的质量与计算效率，对遗传算法做了改进，并将其应用于电力系统无功优化中。
For improving the quality of the solutions and the calculation efficiency, the paper improved genetic algorithms, and applied to solve the reactive power optimization in power system.
本文采用MATLAB语言，编制了应用于电力系统无功优化问题的禁忌遗传算法程序。
Making use of MATLAB language, the paper compiles the TSGA program for reactive power optimization of power system.
提出了一种基于邻域拓扑粒子群优化算法(NTPSO)的大规模电力系统无功优化新算法。
A neighbourhood topology based particle swarm algorithm (NTPSO) is proposed for optimal reactive power dispatch and voltage control of power system.
电力系统无功优化对保证电压质量、降低运行损耗，实现电网的安全经济运行具有重要意义。
Reactive power optimization is of great importance to voltage quality guarantee, power loss minimization and thus security and economic operation of power system.
电力系统无功优化是提高电压质量、降低系统运行网损、保证系统安全经济运行的有效手段。
Reactive power optimization in power system is an effective means to improve voltage quality, reduce network losses and ensure power system operates in a secure and economical way.
遗传算法是一种基于自然选择和遗传机制的搜索算法，比较适合于求解电力系统无功优化问题。
As a kind of search algorithm is fairly fit for solution to the problem of reactive power optimization.
将粒子群优化算法(PSO)应用到电力系统无功优化问题的研究中，给出了具体的实施流程。
The particle swarm optimization algorithm (PSO) applied to reactive power optimization in power system is introduced in the paper, and the detailed implementing procedure is presented.
电力系统无功优化配置是保证系统安全、经济运行的一项有效手段，是提高电压质量的重要措施。
Reactive power optimization is an effective measure to keep power system safe and economical, and an important method to improve voltage profile.
电力系统无功优化配置是保证电力系统安全、经济运行的一项有效手段，是提高电压质量的重要措施。
Reactive power optimization is an effective method to keep power system safe and economy, and it's an important measure to improve voltage quality.
电力系统无功优化是保证系统安全、经济运行的一项有效手段，是降低网损、提高电压质量的重要措施。
Reactive power optimization is one of the most control methods to ensure power system operation securely and economically, and an effective measure to improve the voltage profile and reduce the loss.
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.
通过对IEEE-30节点系统的计算表明，本文所设计的禁忌遗传算法对于电力系统无功优化问题来说，是正确而有效的。
The computing results against the IEEE 30-node system prove that the method of reactive power optimization based on TSGA proposed in this paper is right and effective.
本文对电力系统无功优化和电压控制的内容进行了系统的阐述，并着重对电力系统无功源配置和电压控制分区进行了较为深入的研究。
The text expatiate the content of power system reactive optimization and voltage control, laying stress on the study of reactive sources allocation and voltage control partition.
应用粒子群优化算法(PSO)求解电力系统无功优化问题，提出基于混沌搜索的混合粒子群优化算法，以克服P SO容易早熟而陷入局部最优解的缺点。
The chaos search based hybrid particle swarm optimization (PSO) algorithm is proposed in the paper to avoid the premature phenomenon of PSO, which is applied into the reactive power optimization.
在保证现代电力系统安全性和经济性方面，无功优化调度的重要性已经得到了广泛的关注。
In the aspect of guaranteeing safety and economy of modern power system, the importance of optimal reactive power dispatch has received extensive attention.
基于对角加边矩阵结构，提出了一种新的多区域电力系统离散无功优化分解算法。
Based on the block bordered diagonal matrix structure, this paper presents a new discrete decomposition algorithm for the reactive-power optimization in a multi-area power system.
但在电力系统实际运行中，由于负荷是不断变化的，因此针对单个负荷断面的静态无功优化是不能满足实际运行需要的。
But the load is changing in any time in the practical power system, so the traditional reactive power optimization can't meet the practical need.
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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