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Modified Particle Swarm Optimization Based on Lead-Lag Power System Stabilizer for Improve Stability in Multi-Machine Power System

机译：基于引线滞后系统稳定器的改良粒子群优化，提高多机动力系统稳定性

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Nader M.A. Ibrahim; Basem E. Elnaghi; Hamed A. Ibrahem; Hossam E.A. Talaat;
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年度 2018
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1. Stability Enhancement for Multi-machine Power System by Optimal PID Tuning of Power System Stabilizer using Particle Swarm Optimization [J] . ANANT OONSIVILAI, BOONRUANG MARUNGSRI WSEAS Transactions on Power Systems . 2008,第5期

机译：基于粒子群算法的电力系统稳定器最优PID整定，提高多机电力系统的稳定性
2. Multi-machine power system stabilizer design using improved particle swarm optimization (PSO) with time-varying acceleration coefficients [J] . R. Effatnejad, H. Shayeghi, F G A. Ghasemi Scientific Research and Essays . 2012,第26期

机译：多机动力系统稳定器设计，使用具有改进的时变加速度系数的粒子群算法（PSO）
3. Designing of Power System Stabilizer based on the Root Locus Method with Lead-Lag Controller and Comparing it with PI Controller in Multi-Machine Power System [J] . Shadi Jalali, Ghazanfar Shahgholian Bulletin of the Institute of Heat Engineering . 2018,第1期

机译：多机电力系统中基于根轨迹法的超前滞后电力系统稳定器设计及与PI控制器的比较
4. Optimal PID Tuning of Power System Stabilizer for Multi-machine Power System using Particle Swarm Optimization [C] . ANANT OONSIVILAI, BOONRUANG MARUNGSRI WSEAS International Conferences . 2008

机译：使用粒子群优化多机电力系统电力系统稳定器的最优PID调谐
5. Improved optimal economic and environmental operations of power systems using particle swarm optimization. [D] . AlRashidi, Mohammed. 2007

机译：使用粒子群算法改进了电力系统的最佳经济和环境运行。
6. Feature Selection and Parameters Optimization of SVM Using Particle Swarm Optimization for Fault Classification in Power Distribution Systems [O] . Ming-Yuan Cho, Thi Thom Hoang 2017

机译：基于粒子群算法的配电系统故障分类的支持向量机特征选择和参数优化
7. DESIGN OF LEAD-LAG AND FUZZY LOGIC POWER SYSTEM STABILIZER USING PARTICLE SWARM OPTIMIZATION TECHNIQUE [O] . Alaa-A. Khalil, Amany EL-Zonkoly, Naser M. Ahmied 2007

机译：粒子群优化技术设计铅滞和模糊逻辑电源系统稳定器

Modified Particle Swarm Optimization Based on Lead-Lag Power System Stabilizer for Improve Stability in Multi-Machine Power System

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