A Reliability Assessment Approach for Integrated Transportation and Electrical Power Systems Incorporating Electric Vehicles

With the increasing utilization of electric vehicles (EVs), transportation systems and electrical power systems are becoming increasingly coupled. However, the interaction between these two kinds of systems are not well captured, especially from the perspective of transportation systems. This paper studies the reliability of integrated transportation and electrical power system (ITES). A bidirectional EV charging control strategy is first demonstrated to model the interaction between the two systems. Thereafter, a simplified transportation system model is developed, whose high efficiency makes the reliability assessment of the ITES realizable with an acceptable accuracy. Novel transportation system reliability indices are then defined from the view point of EV’s driver. Based on the charging control model and the transportation simulation method, a daily periodic quasi sequential reliability assessment method is proposed for the ITES system. Case studies based on RBTS system demonstrate that bidirectional charging controls of EVs will benefit the reliability of power systems, while decreasing the reliability of EVs travelling. Also, the optimal control strategy can be obtained based on the proposed method. Finally, case studies are performed based on a large scale test system to verify the practicability of the proposed method.

[1]  Fangxing Li,et al.  Second-Order Cone Programming-Based Optimal Control Strategy for Wind Energy Conversion Systems Over Complete Operating Regions , 2015, IEEE Transactions on Sustainable Energy.

[2]  Yunfei Mu,et al.  A Spatial–Temporal model for grid impact analysis of plug-in electric vehicles ☆ , 2014 .

[3]  Probability Subcommittee,et al.  IEEE Reliability Test System , 1979, IEEE Transactions on Power Apparatus and Systems.

[4]  Min Zhang,et al.  Analyzing the impacts of electric vehicle charging on distribution system reliability , 2012, IEEE PES Innovative Smart Grid Technologies.

[5]  Roy Billinton,et al.  Effects of Load Sector Demand Side Management Applications in Generating Capacity Adequacy Assessment , 2012, IEEE Transactions on Power Systems.

[6]  R. Billinton,et al.  A Reliability Test System for Educational Purposes-Basic Data , 1989, IEEE Power Engineering Review.

[7]  Zhe Liu,et al.  Aggregation and Bidirectional Charging Power Control of Plug-in Hybrid Electric Vehicles: Generation System Adequacy Analysis , 2015, IEEE Transactions on Sustainable Energy.

[8]  Wenyuan Li,et al.  Risk Assessment Of Power Systems: Models, Methods, and Applications , 2004 .

[9]  Fangxing Li,et al.  Maximum power point tracking strategy for large-scale wind generation systems considering wind turbine dynamics , 2015, 2015 IEEE Power & Energy Society General Meeting.

[10]  Hongjie Jia,et al.  A continuous time Markov chain based sequential analytical approach for composite power system reliability assessment , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[11]  Arye Nehorai,et al.  Joint Optimization of Hybrid Energy Storage and Generation Capacity With Renewable Energy , 2013, IEEE Transactions on Smart Grid.

[12]  Wenyuan Li Risk assessment of power systems , 2014 .

[13]  Robert C. Green,et al.  Evaluating the impact of Plug-in Hybrid Electric Vehicles on composite power system reliability , 2011, 2011 North American Power Symposium.

[14]  Saifur Rahman,et al.  Grid Integration of Electric Vehicles and Demand Response With Customer Choice , 2012, IEEE Transactions on Smart Grid.

[15]  Mahmud Fotuhi-Firuzabad,et al.  Impact of load management on composite system reliability evaluation short-term operating benefits , 2000 .

[16]  Warlley S. Sales,et al.  Reliability assessment of time-dependent systems via quasi-sequential Monte Carlo simulation , 2010, 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems.

[18]  P. Denholm,et al.  Renewable Electricity Futures for the United States , 2014, IEEE Transactions on Sustainable Energy.

[19]  Shou-Ren Hu,et al.  Vehicle Detector Deployment Strategies for the Estimation of Network Origin–Destination Demands Using Partial Link Traffic Counts , 2008, IEEE Transactions on Intelligent Transportation Systems.

[20]  Chanan Singh,et al.  Power System Reliability Assessment With Electric Vehicle Integration Using Battery Exchange Mode , 2013, IEEE Transactions on Sustainable Energy.

[21]  Yu Qiangqian Distribution Efficiency Analysis of Battery Swapping Station Considering Road Cost , 2014 .

[22]  Roy Billinton,et al.  A reliability test system for educational purposes-basic distribution system data and results , 1991 .

[23]  Moshe Ben-Akiva,et al.  PII: S0965-8564(99)00043-9 , 2000 .

[24]  Yue Yuan,et al.  Modeling of Load Demand Due to EV Battery Charging in Distribution Systems , 2011, IEEE Transactions on Power Systems.

[25]  Dan Wang,et al.  Power system operation risk analysis considering charging load self-management of plug-in hybrid electric vehicles , 2014 .

[26]  Yong Fu,et al.  Reliability assessment of power systems considering the large-scale PHEV integration , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.

[27]  Fangxing Li,et al.  Distribution network reconfiguration with aggregated electric vehicle charging strategy , 2015, 2015 IEEE Power & Energy Society General Meeting.