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APPLYING THE FVSI-GENERATION TRACING AND HYBRID ANT COLONY ALGORITHM FOR EFFECTIVE STATIC GENERATION POWER DISPATCH

机译:FVSI发电跟踪和混合蚁群算法在静态发电有效分配中的应用

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This paper proposes the latest application of power tracing technique for voltage stability improvement. Instead of solving losses charge allocation problem in deregulated power market as performed by many researchers, the proposed technique can be implemented for effective static generation power dispatch; that is, by determining suitable generating units involved in re-dispatching with the aim of providing a more economical and effective power generation. Using power tracing approach, the determination of suitable generating units can be done by means of stability index tracing or specifically termed as Fast Voltage Stability Index-Generation Tracing (FVSI-GT). After deriving a ranking list of generator buses via FVSI-GT, the real and reactive power of the selected generators are sized using a new hybrid algorithm; the Blended Crossover Continuous Ant Colony Optimization (BX-CACO). Simulation and experiment on IEEE 57-Bus reliability test system (RTS) justified the reliability of FVSI-GT for precise selection of suitable generators besides other conventional ranking methods. In addition, the proposed BX-CACO showed a tremendous performance in terms of convergence speed and solution quality.
机译:本文提出了电力跟踪技术在提高电压稳定性方面的最新应用。代替解决许多研究者所进行的放松管制的电力市场中的损失电费分配问题,所提出的技术可以用于有效的静态发电调度。也就是说,通过确定参与重新调度的合适的发电机组,以提供更经济和有效的发电为目的。使用功率跟踪方法,可以通过稳定性指数跟踪或专门称为快速电压稳定性指数生成跟踪(FVSI-GT)来确定合适的发电机组。通过FVSI-GT得出发电机母线的排序列表后,将使用新的混合算法确定所选发电机的有功功率和无功功率;混合交叉连续蚁群优化(BX-CACO)。 IEEE 57-Bus可靠性测试系统(RTS)的仿真和实验证明了FVSI-GT的可靠性,除了其他传统的排名方法外,它还可以精确选择合适的发电机。此外,拟议的BX-CACO在收敛速度和解决方案质量方面显示出了出色的性能。

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