Analysis of the Great Britain's power system with Electric Vehicles and Storage Systems

This paper presents an analysis of the simplified model of the Great Britain (GB) power system for 2030 projections. Electric Vehicles (EVs), Battery Energy Storage System (BESS), and Fly-Wheel Energy Storage System (FESS) are connected in the primary frequency control loop. PD -like Fuzzy Logic controller (PDFLC) is used as a secondary frequency control as well as the classical PID controller for the comparison of its performance. Seven different study cases with two modeling scenarios are used to (i) investigate the behavior of the GB power system for both primary and secondary frequency loops and (ii) the effect of the EV, FESS and BESS on the system power generation and frequency deviation. It was found that both types of storage systems increase the error and deviation of power and frequency especially when they were used together without Droop control due to the extra amount of power added to the system. EVs decrease the system's deviation, however, the limit of frequency with EVs is still above the acceptable UK limits. PDFLC is superior to the classical PID in reducing the frequency deviation and settling time which offers high stabilities and control performances in regulating the frequency.

[1]  Nasser Hosseinzadeh,et al.  Load Frequency Control of a Multi-Area Power System: An Adaptive Fuzzy Logic Approach , 2014, IEEE Transactions on Power Systems.

[2]  Seyedmahdi Izadkhast,et al.  An aggregate model of plug-in electric vehicles for primary frequency control , 2015, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[3]  Y. H. Song,et al.  Influence of wind turbine behaviour on the primary frequency control of the British transmission grid , 2007 .

[4]  Jianzhong Wu,et al.  Primary Frequency Response From Electric Vehicles in the Great Britain Power System , 2013, IEEE Transactions on Smart Grid.

[5]  Mohammad Hamiruce Marhaban,et al.  Analysis and Performance Evaluation of PD-like Fuzzy Logic Controller Design Based on Matlab and FPGA , 2010 .

[6]  Li Wang,et al.  Small-Signal Stability Analysis of an Autonomous Hybrid Renewable Energy Power Generation/Energy Storage System Part I: Time-Domain Simulations , 2008, IEEE Transactions on Energy Conversion.

[7]  A. Oudalov,et al.  Optimizing a Battery Energy Storage System for Primary Frequency Control , 2007, IEEE Transactions on Power Systems.

[8]  Nicholas Jenkins,et al.  Frequency support from doubly fed induction generator wind turbines , 2007 .

[9]  D.G. Infield,et al.  Stabilization of Grid Frequency Through Dynamic Demand Control , 2007, IEEE Transactions on Power Systems.

[10]  Yasunori Mitani,et al.  Intelligent Frequency Control in an AC Microgrid: Online PSO-Based Fuzzy Tuning Approach , 2012, IEEE Transactions on Smart Grid.

[11]  A. Oudalov,et al.  Optimizing a Battery Energy Storage System for Frequency Control Application in an Isolated Power System , 2009, IEEE Transactions on Power Systems.