| 改进粒子群算法在无功优化中的应用 |
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| 引用本文： | 姚建红,王中爽,杨敏建.改进粒子群算法在无功优化中的应用[J].自动化技术与应用,2012,31(8):1-4. |
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| 作者姓名： | 姚建红 王中爽 杨敏建 |
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| 作者单位： | 1. 东北石油大学电气信息工程学院,黑龙江大庆,163318
2. 大庆石化公司热电厂,黑龙江大庆,163714 |
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| 摘 要： | 针对电力系统无功优化的特点，本文提出以有功网损最小为目标函数，以负荷节点电压质量和PV发电机节点无功出力为罚函数．以有功功率和无功功率为约束条件的数学模型，并应用改进的粒子群算法对无功优化问题进行求斛。该算法在权重系数和不活动粒子两方面进行改进，有效地解决了进化过程中陷入局部最优和搜索精度差的缺点。最后，将改进后的粒子群算法应用于IEEE14节电力系统进行无功优化算例分析，仿真结果验证了该算法解决电力系统无功优化问题的有效性和可行性。
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| 关 键 词： | 粒子群算法 无功优化 电力系统 配电网 |
Application of Reactive Power Optimization based on Improved Particle Swarm |
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| YAO Jian-hong
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WANG Zhong-shuang
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YANG Min-jian.Application of Reactive Power Optimization based on Improved Particle Swarm[J].Techniques of Automation and Applications,2012,31(8):1-4. |
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| Authors: | YAO Jian-hong WANG Zhong-shuang YANG Min-jian |
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| Affiliation: | 1.Petroleum Institute,Northeast Petroleum University,Daqing 163318 China; 2.Thermal Power Plant of Daqing Petrochemical Company,Daqing 163714 China) |
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| Abstract: | According to the features of reactive power optimization in power system,this paper establishes a mathematical model system whose objective function is the minimum annual operating cost and whose constraint conditions are active power and reactive power.The model applies improved particle swarm algorithm to solve the problem of reactive power optimization.The algorithm improves the weight coefficients and inactive particles to solve the disadvantages of the local optimum and the poor search accuracy in the evolutionary process.Finally,by analyzing IEEE14 nodal systems with the examples of reactive power optimization,the results of simulation proves the effectiveness and feasibility of the algorithm to solve reactive power optimization. |
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| Keywords: | particle swarm optimization reactive power optimization electric power system distribution network |
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