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

T. Nguyen, Trong Nguyen, T. Tsuji, T. Oyama
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Abstract

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-1 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.
考虑电压和潮流约束的WFs电力系统的概率运行方法
本文从概率的角度对具有大量风电场的电力系统中输电线路电压和潮流的波动进行了评估。考虑到N-1准则下WFs输出变化带来的不确定性,经济负荷调度(Economic Load Dispatch, ELD)通过确定火力发电机组的发电量来限制输电线路的过载概率。发电机的再分配发电和WFs的不确定发电会引起电压波动。传统的静态电容器(SCs)保持系统电压在适当的范围内进行调整,以避免这种电压违和。在传统的系统中,SCs被用来在负载变化时将系统电压保持在适当的范围内。然而,当wf数量较大时,由于wf输出的变化,电压波动的大小可能会更大。因此,考虑到wf输出波动的影响,必须更精确地调整SCs的数量,以防止过电压风险超过预定值。利用粒子群算法求解本文提出的优化问题,确定系统的控制能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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