Effect of electric vehicle load and charging pattern on generation expansion planning

The multi-objective generation expansion planning problem includes making the best decisions of selecting generation technologies to be added to the existing power system in order to minimize cost and other desired factors. In this paper, an optimal generation expansion planning scheme for power systems considering electric vehicle load effect is presented. The optimum value is achieved by solving multiobjective optimization problem. Furthermore, the impact of electric vehicle charging method (typical or optimum) on generation expansion planning are calculated and analysed. Mont Carlo simulation is used to represent uncertainty of system component and then problem is solved using a multi objective genetic algorithm method.

[1]  Canbing Li,et al.  An Optimized EV Charging Model Considering TOU Price and SOC Curve , 2012, IEEE Transactions on Smart Grid.

[2]  Mehmet Bayram Yildirim,et al.  A Multiobjective Evolutionary Programming Algorithm and Its Applications to Power Generation Expansion Planning , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[3]  Mohamed A. El-Sharkawi,et al.  Optimal Charging Strategies for Unidirectional Vehicle-to-Grid , 2011, IEEE Transactions on Smart Grid.

[4]  L. Legey,et al.  Generation Expansion Planning: An Iterative Genetic Algorithm Approach , 2002, IEEE Power Engineering Review.

[5]  Scott A. Malcolm,et al.  Robust Optimization for Power Systems Capacity Expansion under Uncertainty , 1994 .

[6]  David W. Coit,et al.  Multi-period multi-objective electricity generation expansion planning problem with Monte-Carlo simulation , 2010 .

[7]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[8]  Fernando Delgado,et al.  The influence of nuclear generation on CO2 emissions and on the cost of the Spanish system in long-term generation planning , 2011 .

[9]  A. Gomes Martins,et al.  A multiple objective mixed integer linear programming model for power generation expansion planning , 2004 .

[10]  Xiao-Ping Zhang,et al.  Modeling of Plug-in Hybrid Electric Vehicle Charging Demand in Probabilistic Power Flow Calculations , 2012, IEEE Transactions on Smart Grid.

[11]  Anulark Techanitisawad,et al.  Power generation expansion planning with emission control: a nonlinear model and a GA‐based heuristic approach , 2006 .

[12]  Zechun Hu,et al.  Coordinated electric vehicle charging strategy for optimal operation of distribution network , 2012, ISGT Europe.

[13]  Hadi Dowlatabadi,et al.  Incorporating stress in electric power systems reliability models , 2007 .

[14]  Jong-Bae Park,et al.  An improved genetic algorithm for generation expansion planning , 2000 .

[15]  David W. Coit,et al.  Electric power system generation expansion plans considering the impact of Smart Grid technologies , 2012 .