1.现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012;2.国网电力科学研究院有限公司(南瑞集团有限公司),江苏省南京市 211106
国外大停电事故表明,海量不同新能源在受扰后可能存在低电压穿越和脱网并存的场景,对系统整体功率冲击呈现出复杂的非线性动态变化,暂态频率轨迹预测愈加困难。现有频率轨迹预测分析方法通常仅考虑低电压穿越或脱网的单一扰动形式,且缺乏实用可行的工程应用方案,难以对频率不安全的场景进行预警或预控。为此,文中首先分析了低电压穿越过程中风电出力分布特性引起有功功率恢复差异的机理及对系统功率冲击的影响;其次,考虑阶跃、非阶跃等多种功率扰动形式,提出了计及风电低电压穿越复杂恢复和脱网并存下的电网频率响应模型;然后,提出了基于“离线分档建模、在线快速预测、临界追加校验”的工程应用方案;最后,通过美国新英格兰10机39节点测试系统和某实际电网算例仿真验证了所提模型及方法的有效性和实用性。
国家电网公司科技项目(5100-202440016A-1-1-ZN)。
姜涛(1983—),男,博士,教授,博士生导师,主要研究方向:电力系统安全性与稳定性、可再生能源集成、综合能源系统。E-mail:electricpowersys@163.com
吕亚洲(1988—),男,通信作者,博士研究生,主要研究方向:电力系统安全稳定分析与控制。E-mail:lvyazhou@sgepri.sgcc.com.cn
刘福锁(1981—),男,博士,研究员级高级工程师,主要研究方向:电力系统安全稳定分析与控制。E-mail:liufusuo@sgepri.sgcc.com.cn
1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, China;2.State Grid Electric Power Research Institute (NARI Group Corporation), Nanjing 211106, China
The major power outages abroad show that a large number of different renewable energy sources may experience coexistence scenarios of low voltage ride-through (LVRT) and off-grid after disturbance, presenting complex nonlinear dynamic changes in the overall power impact on the system, and making transient frequency trajectory prediction increasingly difficult. The existing frequency trajectory prediction and analysis methods usually only consider single disturbance such as LVRT or off-grid, and lack practical and feasible engineering application schemes, making it difficult to carry out early warning or pre-control for frequency insecure scenarios. Therefore, this paper firstly analyzes the mechanism of the difference in active power restoration caused by the distribution characteristics of wind power output during the LVRT process and its impact on the system power shock. Secondly, considering various forms of power disturbances such as step and non-step, a power grid frequency response model that takes into account the coexistence of LVRT complex restoration and off-grid of wind power is proposed. Then, an engineering application scheme based on “offline grading modeling, online fast prediction, and critical additional verification” is proposed. Finally, the effectiveness and practicality of the proposed model and method are verified through the New England 10-machine 39-bus test system and an actual power grid case simulation.
[1] | 姜涛,吕亚洲,刘福锁,等.风电低电压穿越和脱网并存下电网暂态频率轨迹在线预测[J].电力系统自动化,2025,49(5):145-154. DOI:10.7500/AEPS20240311002. JIANG Tao, LYU Yazhou, LIU Fusuo, et al. Online Prediction of Power Grid Transient Frequency Trajectories Under Coexistence of Low Voltage Ride-through and Off-grid in Wind Power Generation[J]. Automation of Electric Power Systems, 2025, 49(5):145-154. DOI:10.7500/AEPS20240311002. |