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A probabilistic operation method of power systems with WFs considering voltage and power flow constraints

机译:考虑电压和潮流约束的带WF的电力系统概率运行方法

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This paper assesses the fluctuation of voltage and power flow on transmission lines from a probabilistic perspective in power systems with a large amount of Wind Farms (WFs). Economic Load Dispatch (ELD) determines the generation of thermal generators to limit the overloading probability on transmission lines considering the uncertainty caused by the output variation of WFs under N-l criterion. The redistributed generation of the generators and the uncertain generation of WFs may cause voltage fluctuation. The conventional static condensers (SCs) keeping the system voltage in the proper range are adjusted to avoid this voltage violation. In conventional systems, the SCs have been utilized to keep the system voltage in the proper range when load changes. However, with a large amount of WFs, the size of the voltage fluctuation may be larger due to the output variations of WFs. So, the amount of SCs must be adjusted more precisely considering the effect of the output fluctuation of WFs to prevent the overvoltage risk from being over the predefined value. The control capacity of SC is determined by solving the optimization problem proposed in this study using Particle Swarm Optimization.
机译:本文从概率角度评估了具有大量风电场(WF)的电力系统中输电线路上的电压和功率流的波动。经济负荷分配(ELD)考虑到由N-1准则下WF的输出变化引起的不确定性,决定了热发电机的产生,以限制输电线路的过载概率。发电机的重新分配发电和WF的不确定发电可能会引起电压波动。调整将系统电压保持在适当范围内的常规静态电容器(SC)可以避免这种电压冲突。在常规系统中,当负载变化时,SC已用于将系统电压保持在适当的范围内。然而,对于大量的WF,由于WF的输出变化,电压波动的大小可能更大。因此,必须考虑到WF的输出波动的影响来更精确地调整SC的数量,以防止过电压风险超过预定值。通过使用粒子群算法解决本研究中提出的优化问题来确定SC的控制能力。

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