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考虑SVC静态模型的无功优化研究 被引量:13

The Study on Reactive Power Optimization Considering the Static Model of SVC
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摘要 为了将SVC(静止无功补偿器)纳入电网AVC(电压自动控制)的整体无功控制范围,提出了考虑SVC静态模型的无功优化问题。首先,对SVC进行静态等值,引入PQV节点类型对SVC模型进行潮流实现,用网损灵敏度法求取系统的薄弱点,确定SVC的安装地点,将SVC作为无功补偿设备加入到无功优化中;其次,提出了基于Filter集合的改进内点法,并采用改进内点法和改进遗传算法的组合策略,处理了无功优化过程中离散变量和连续变量共存的问题;最后,通过IEEE仿真算例,验证了所介绍无功优化算法的优越性。SVC的投入使用,能够降低网损,提高负荷节点的电压值,从而在一定程度上保证系统的稳定性。 In order to bring SVC into the reactive power control range of AVC, this paper proposes the reactive power optimization considering the static model of SVC. Firstly, it makes the SVC equivalent to the static model, introduces the type of PQV node to implement the power of SVC, uses the loss sensitivity method to strike the weak point of the system, determines the SVC installation location, and adds SVC to reactive power optimization as a equipment of reactive. Secondly, based on the filter the paper also introduces the improved interior point method which uses the mixed strategy of improved interior point method and improved genetic algorithm to process the coexistence of discrete and continuous variables in reactive power optimization. Finally, the simulation of IEEE examples shows that it proves the superiority of the proposed algorithm of reactive power optimization. The use of SVC reduces net loss and increases the voltage of load node to ensure the stability of the system.
出处 《电测与仪表》 北大核心 2013年第4期101-106,共6页 Electrical Measurement & Instrumentation
关键词 无功优化 静止无功补偿器 原-对偶内点法 Filter集合 遗传-模拟退火算法 reactive power optimization, SVC, primal-dual interior point method, Filter, genetic-simulated annealingalgorithm
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