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.
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.
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.
该方法还可应用于水火电混合电力系统和互联电力系统的日有功优化调度。
It can also be applied in the daily optimal economic dispatch of interconnected power systems and the regional power system with hydropower stations and thermal power plants.
并应用该模型对三峡电力系统水电站群与三峡电站联合运行进行了优化补偿调度研究。
Using this model the optimum compensating dispatching in the cooperation of Three Gorges hydropower station with the hydropower station group within the Three Gorges power system is studied.
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.
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.
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.
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.
应用推荐