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首页> 外文期刊>Journal of Modern Power Systems and Clean Energy >Optimal allocation of multi-type FACTS devices in power systems based on power flow entropy
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Optimal allocation of multi-type FACTS devices in power systems based on power flow entropy

机译:基于潮流熵的电力系统多类型FACTS装置的最优分配

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Flexible AC transmission systems (FACTS) devices can effectively optimize the distribution of power flow. Power flow entropy can be applied as a measure of load distribution. In this paper, a method is proposed to optimize the distribution of power flow with the coordination of multi-type FACTS devices and establishes the corresponding mathematical models. The modified group searcher optimization (GSO) algorithm is proposed, in which the angle search is combined with chaotic search model to avoid jumping into local optimization. Compared with the different optimal allocation of multi-FACTS devices, the optimal allocation of multi-FACTS devices is achieved under the economic constraints. The locations obtained by this method can achieve the purpose of balancing power flow and enhancing the system performances. The simulations are demonstrated in an IEEE 118-bus power system with two classical types of FACTS, namely static var compensator (SVC) and thyristor controlled series Compensator (TCSC). The simulation results show that the proposed method is feasible and effective.
机译:灵活的交流输电系统(FACTS)设备可以有效地优化潮流分配。潮流熵可以用作负载分布的度量。本文提出了一种在多类型FACTS装置的配合下优化潮流分配的方法,并建立了相应的数学模型。提出了一种改进的群搜索优化算法,该算法将角度搜索与混沌搜索模型结合起来,避免陷入局部优化。与多FACTS设备的不同最优分配相比,在经济约束下实现了多FACTS设备的最优分配。通过这种方法获得的位置可以达到平衡潮流和增强系统性能的目的。在具有两种经典类型的FACTS的IEEE 118总线电源系统中演示了仿真,即静态无功补偿器(SVC)和可控硅控制串联补偿器(TCSC)。仿真结果表明,该方法是可行和有效的。

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