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| 基于随机自适应粒子群算法的电力系统无功优化 | |
| 引用本文： | 周宣. 基于随机自适应粒子群算法的电力系统无功优化[J]. 计算机与现代化, 2011, 0(12): 53-56 |
| 作者姓名： | 周宣 |
| 作者单位： | 华北电力大学计算机系; |
| 摘 要： | 无功优化是保证电力系统安全经济运行的有效手段,是提高电力系统电压质量的重要措施之一。本文首先介绍无功优化的一般数学模型,然后重点分析粒子群优化算法的组成结构与工作原理,进而提出一种改进的粒子群优化算法。该算法采用随机自适应策略,能够对当前所产生的局部最优值进行变异,再重回粒子群算法中搜寻全局最优值,从而可以有效改善传统粒子群算法求解电力系统无功优化问题时存在的收敛精度不高、容易陷入局部最优等不足,一定程度上提高了粒子群算法的寻优能力。最后,通过在IEEE 30节点上进行仿真实验比较,结果表明该算法是可行和有效的,达到了提高供电质量、降低线损的目的。 |
| 关 键 词： | 电力系统 无功优化 粒子群算法 随机自适应策略 |
Reactive Power Optimization Based on Random-adaptive Particle Swarm Optimization in Electric Power System |
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| ZHOU Xuan. Reactive Power Optimization Based on Random-adaptive Particle Swarm Optimization in Electric Power System[J]. Computer and Modernization, 2011, 0(12): 53-56 | |
| Authors: | ZHOU Xuan |
| Affiliation: | ZHOU Xuan(Department of Computer Science & Technology,North China Electric Power University,Baoding 071003,China) |
| Abstract: | Reactive power optimization is an effective method to ensure the safe and economic operation of electric power system,and one of the important measures to improve the voltage quality.At first,this paper introduces the general mathematical model of reactive power optimization,then the structure and principle of particle swarm optimization algorithm are analyzed,and then a kind of improved particle swarm optimization algorithm is proposed.The algorithm can vary the current local optimal value by adopting the ... |
| Keywords: | electric power system reactive power optimization particle swarm optimization random-adaptive strategy |
| 本文献已被 CNKI 维普 等数据库收录！ | |