A Numerical Approach for Hybrid Simulation of Power System Dynamics Considering Extreme Icing Events

The global climate change leads to more extreme meteorological conditions such as icing weather, which have caused great losses to power systems. Comprehensive simulation tools are required to enhance the capability of power system risk assessment under extreme weather conditions. A hybrid numerical simulation scheme integrating icing weather events with power system dynamics is proposed to extend power system numerical simulation. A technique is developed to efficiently simulate the interaction of slow dynamics of weather events and fast dynamics of power systems. An extended package for PSS/E enabling hybrid simulation of icing event and power system disturbance is developed, based on which a hybrid simulation platform is established. Numerical studies show that the functionality of power system simulation is greatly extended by taking into account the icing weather events.

[1]  Robert W. Lenhard,et al.  An Indirect Method for Estimating the Weight of Glaze on Wires , 1955 .

[2]  M. Farzaneh,et al.  Modeling of icing and ice shedding on overhead power lines based on statistical analysis of meteorological data , 2004, IEEE Transactions on Power Delivery.

[3]  M. Huneault,et al.  A dynamic programming methodology to develop de-icing strategies during ice storms by channeling load currents in transmission networks , 2005, IEEE Transactions on Power Delivery.

[4]  I. Kamwa,et al.  Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance , 2005, IEEE Transactions on Power Systems.

[5]  Georg Brasseur,et al.  Strong and Weak Electric Field Interfering: Capacitive Icing Detection and Capacitive Energy Harvesting on a 220-kV High-Voltage Overhead Power Line , 2011, IEEE Transactions on Industrial Electronics.

[6]  Michal Tomaszewski,et al.  Extreme Value Analysis of Wet Snow Loads on Power Lines , 2015, IEEE Transactions on Power Systems.

[7]  Masoud Farzaneh,et al.  50 years in icing performance of outdoor insulators , 2014, IEEE Electrical Insulation Magazine.

[8]  M. Farzaneh,et al.  Modeling Ice Shedding Propagation on Transmission Lines with or without Interphase Spacers , 2013, IEEE Transactions on Power Delivery.

[9]  Lei Wu,et al.  Transmission Line Overload Risk Assessment for Power Systems With Wind and Load-Power Generation Correlation , 2015, IEEE Transactions on Smart Grid.

[10]  M. Huneault,et al.  Combined models for glaze ice accretion and de-icing of current-carrying electrical conductors , 2005, IEEE Transactions on Power Delivery.

[11]  S. Talukdar,et al.  Trends in the history of large blackouts in the United States , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[12]  M. Farzaneh,et al.  Statistical analysis of field data for precipitation icing accretion on overhead power lines , 2005, IEEE Transactions on Power Delivery.

[13]  Bo Yan,et al.  Numerical Simulation Study on Jump Height of Iced Transmission Lines After Ice Shedding , 2013, IEEE Transactions on Power Delivery.

[14]  Lasse Makkonen,et al.  Modeling power line icing in freezing precipitation , 1998 .

[15]  Jianbo Xin,et al.  Mid-short-term risk assessment of power systems considering impact of external environment , 2013 .

[16]  Wei Tian,et al.  Risk Assessment in Extreme Events Considering the Reliability of Protection Systems , 2015, IEEE Transactions on Smart Grid.

[17]  Akbar Ebrahimi,et al.  Inclusion of Blackouts Risk in Probabilistic Transmission Expansion Planning by a Multi-Objective Framework , 2015, IEEE Transactions on Power Systems.

[18]  Wenyuan Li,et al.  Fuzzy Models of Overhead Power Line Weather-Related Outages , 2008, IEEE Transactions on Power Systems.