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.
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。
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.
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。
Making use of MATLAB language, the paper compiles the TSGA program for reactive power optimization of 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。
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 in electric power system is important part for electric power safe run research.
电力系统无功功率优化是电力系统安全运行研究的一个重要组成部分。
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 of power network is an important problem which directly influences voltage quality of the system as well as which relates to economical operation of power network.
对电网进行无功电压优化，是一个既直接影响系统电压质量，又关系到电网经济运行的重要问题。
The software structure of the reactive power control system is designed and dynamic reactive power optimization model is established.
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。
Reactive power optimization is an effective method for improving the electricity quality and reducing the power loss in power system.
电力系统实现无功优化控制是保证系统电压质量、降低网损的重要措施。
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 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.
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。
The general reactive power optimization is only to reduce the loss of the system and improve the quality of voltage, which is suitable when system has enough power capability.
传统的无功优化通常考虑的仅仅是提高电网的电压质量和降低网损，当系统的传输容量有足够的裕度时，这种只考虑经济效益和基本运行约束的做法是适当的。
A software package of reactive-power optimization computation of power system is intro-duced, which is developed fully by object-oriented programming techniques.
介绍一套完全采用面向对象的概念及编程技术开发的电网无功优化计算软件。
A reactive power optimization and control system is becoming more and more important for electric power companies.
无功的优化与控制关系到电力企业自身的经济效益。
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.
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。
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.
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。
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.
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。
Reactive power optimization control in county power system is a great complex nonlinear mathematical programming problem, which has many variables and large constrains.
县级电网的电压无功控制问题是一个多约束条件、多变量、非线性的复杂数学规划难题。
Power flow method of a distribution system is the base and tool of reactive power optimization, whose convergence and computation speed is very important to the efficiency of optimization.
配电网潮流是配电网无功优化的基础和工具，其计算速度和收敛性将直接影响优化的效果。
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。
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.
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。
Reactive power optimization is very important for ensuring the quality of voltage, security and economics of power system.
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。
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.
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 main contents include:1. The necessity and the sense of reactive power optimization and the structure of power SCADA system were discussed.
讨论了无功优化的必要性和意义，以及电力SCADA系统的总体结构组成。
A new method, which combines the adaptive immune algorithm (AIA) with predictor-corrector interior point method, was presented for the reactive power optimization of power system.
在分析原-对偶内点法和连续性潮流方法计算系统输电能力各自优缺点的基础上，将两者结合，提出了一种系统输电能力的综合计算方法。
Reactive power optimization of power system based on genetic algorithm and particle swarm optimization algorithm;
粒子群优化方法是一种基于群体智能的新型演化计算技术。
Reactive power optimization of power system based on genetic algorithm and particle swarm optimization algorithm;
粒子群优化方法是一种基于群体智能的新型演化计算技术。
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