风电场出力随机扰动下的电网概率脆弱性评估
摘要：在风电大规模接入电力系统的发展趋势下,系统将经受更复杂的随机性影响,给系统的可靠稳定运行带来极大挑战。在综合考虑了不同规模和不同并网点的风电场随机扰动性、发电机的随机故障停运率以及负荷的随机波动的前提下,基于半不变量和Gram-Charlier级数(CGC)的输电网概率潮流方法,并结合系统的临界电压和极限传输功率,提出一种新的概率脆弱性评估方法,以此来筛选出风电场并网后电力系统的脆弱节点和脆弱支路。对所提方法在IEEE-30母线系统中通过不同规模风电场、不同接入点条件下进行仿真验证,及其与基于支路势能函数法的传统评估方法进行对比,结果证明该方法能够给出可靠有效的评估结论,有助于为进一步探索不同规模风电场并网下的电力系统脆弱性提供思路。
Abstract:In the development trend of large-scale wind power connected into power system, power system will be affected by more complicated random factors, which bring a huge challenge to the security and stability of operation. By considering stochastic disturbance of wind farms under different scales and different outlets, stochastic outage rate of generator and stochastic volatility of load, a new evaluation method of probabilistic vulnerability for transmission network is proposed based on Cumulant and Gram-Charlier series (CGC), by combing with critical voltage and ultimate transmission power of the system. In this way, the weak nodes and branches of power system connected with wind farms are screened out. The proposed method is verified by the simulation of IEEE-30 bus system under different scale wind farms and different access points, and the results are compared with that obtained by traditional evaluation methods based on branch potential energy function method. The results show that the proposed method can provide reliable and effective evaluation results, and it is helpful to further explore the vulnerability of power system with different scale wind farm integration.
标题：风电场出力随机扰动下的电网概率脆弱性评估
英文标题：The Evaluation on Probability Vulnerability of Power Grid Considering Stochastic Disturbance of Wind Farm
作者：赵任光, 刘群英, 陈树恒, 张昌华, 高旭光, 陈明华,
关键词：风电并网, 半不变量和Gram-Charlier级数, 临界电压, 极限传输功率, 电网概率脆弱性评估,
发表日期：2018-10-09
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