(1. 国网江苏省电力公司检修分公司苏州运维分部, 江苏省苏州市 215131; 2. 新能源电力系统国家重点实验室, 华北电力大学, 北京市 102206)
为快速有效地评估大规模风电并网电力系统的静态安全水平,将随机潮流引入安全评估。以解析法随机潮流为电网状态分析手段,保证方法高效性,并基于序列运算理论实现随机潮流计算,降低了对分析所需基础数据的要求,以保证方法实用性。定义了基于随机潮流结果的安全指标,从概率和风险两个角度快速实现系统安全的综合量化评价。基于元件级安全指标进一步给出了系统薄弱环节辨识方法。IEEE-RTS79系统测试结果验证了所提方法的有效性和准确性。与传统不确定性评估方法相比,所提方法能大幅提高评估效率,对间歇性能源并网电力系统的安全评估具有实用价值。
国家高技术研究发展计划(863计划)
(1. State Grid Jiangsu Electric Power Maintenance Branch Company, Suzhou 215131, China; 2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)
Probabilistic load flow (PLF) is used to effectively and efficiently assess the static security of power systems with large-scale wind power generation. PLF is solved by the analytical method to improve its computational efficiency. PLF is implemented based on sequence operation theory to reduce the requirement for base data and to ensure its practicality. Security indices are defined based on PLF to obtain quantitative assessment of system security rapidly. Security indices include two aspects: security probabilities and associated security risks. Vulnerability analysis is achieved based on the security indices of components. The effectiveness and accuracy of the proposed method are verified by case studies with the IEEE-RTS 79 bus system. Compared with traditional method for stochastic security assessment, the proposed method has higher computational efficiency and is practical for security assessment of power systems with intermittent energy integration.
[1] | 朱星阳,黄宇峰,张建华,等.基于随机潮流的含风电电力系统静态安全评估[J].电力系统自动化,2014,38(20):46-53. DOI:10.7500/AEPS20140120004. ZHU Xingyang, HUANG Yufeng, ZHANG Jianhua, et al. Static Security Assessment Based on Probabilistic Load Flow for Wind Power Integrated Power Systems[J]. Automation of Electric Power Systems, 2014, 38(20):46-53. DOI:10.7500/AEPS20140120004. |