Local dynamic frequency response using domestic electric vehicles

Abstract There is an increasing interest to penetrate low carbon vehicles into the transport system. Take the Great Britain (GB) as an example, the number of electric and plug-in hybrid vehicles will make up to at least half of new vehicle sales. Electric vehicles (EVs) are expected to contribute to the ancillary services of the frequency response because EVs can provide immediate frequency response and sustain its response for considerable period of time. This paper addresses the design of a Dynamic Vehicle Grid Support (DVGS) control algorithm for the provision of local frequency response. The DVGS considers a dynamic relationship between the state of charge of EVs and frequency set-points. Thus, it can be installed locally avoiding the cost and the time delay associated with the communication system between EVs and the control centre. The DVGS control algorithm was demonstrated using the reduced GB transmission power system model with a reduced system inertia. The simulation results showed that the EVs are promising assets for the provision of frequency response and reducing the rate of change of frequency (RoCoF). Moreover, EVs can be controlled geographically to provide the zonal frequency response, reducing the dependency on the power from the spinning reserve, especially with a reduced system inertia. The financial benefits of using the aggregated DVGS for firm frequency response (FFR) service in the GB is calculated.

[1]  Saif Sabah Sami,et al.  Development of a water heater population control for the demand-side frequency control , 2017, 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).

[2]  Adam Dysko,et al.  Effects of VSM convertor control on penetration limits of non-synchronous generation in the GB power system , 2016 .

[3]  Saif Sabah Sami,et al.  Potential of demand side response aggregation for the stabilization of the grids frequency , 2018, Applied Energy.

[4]  Yun Seng Lim,et al.  Frequency response services designed for energy storage , 2017 .

[5]  Hongming Yang,et al.  Application of plug-in electric vehicles to frequency regulation based on distributed signal acquisition via limited communication , 2013, IEEE Transactions on Power Systems.

[6]  Jianzhong Wu,et al.  Performance of industrial melting pots in the provision of dynamic frequency response in the Great Britain power system , 2017 .

[7]  Jianfeng Zhao,et al.  Demand responsive charging strategy of electric vehicles to mitigate the volatility of renewable energy sources , 2020 .

[8]  Jianzhong Wu,et al.  Modelling and control of multi-type grid-scale energy storage for power system frequency response , 2016, 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia).

[9]  Yunfei MU,et al.  Dynamic frequency response from electric vehicles in the Great Britain power system , 2013 .

[10]  Wencheng Guo,et al.  Modeling and dynamic response control for primary frequency regulation of hydro-turbine governing system with surge tank , 2018, Renewable Energy.

[11]  Filipe Joel Soares,et al.  Electric vehicles contribution for frequency control with inertial emulation , 2015 .

[12]  Jianzhong Wu,et al.  Active power regulation for large-scale wind farms through an efficient power plant model of electric vehicles , 2017 .

[13]  Jihong Wang,et al.  Overview of current development in electrical energy storage technologies and the application potential in power system operation , 2015 .

[14]  Bo Qu,et al.  Dynamic frequency response from electric vehicles considering travelling behavior in the Great Britain power system , 2016 .

[15]  Jianzhong Wu,et al.  Power System Frequency Response From the Control of Bitumen Tanks , 2016, IEEE Transactions on Power Systems.

[16]  Jianzhong Wu,et al.  Benefits of using virtual energy storage system for power system frequency response , 2017 .

[17]  Meng Cheng,et al.  Load aggregation over a time of day to provide frequency response in the Great Britain power system , 2017 .

[18]  Cishen Zhang,et al.  Dynamic Demand Control of Electric Vehicles to Support Power Grid With High Penetration Level of Renewable Energy , 2016, IEEE Transactions on Transportation Electrification.

[19]  Johann Kranz,et al.  The role of smart metering and decentralized electricity storage for smart grids: The importance of positive externalities , 2012 .

[20]  Nick Jenkins,et al.  Modelling of a population of Heat Pumps as a Source of load in the Great Britain power system , 2016, 2016 International Conference on Smart Systems and Technologies (SST).

[21]  Goran Strbac,et al.  A Mean Field Game Approach for Distributed Control of Thermostatic Loads Acting in Simultaneous Energy-Frequency Response Markets , 2019, IEEE Transactions on Smart Grid.

[22]  Zeyad Assi Obaid,et al.  Design of a hybrid fuzzy/Markov chain-based hierarchal demand-side frequency control , 2017, 2017 IEEE Power & Energy Society General Meeting.

[23]  Chet Sandberg,et al.  The Role of Energy Storage in Development of Smart Grids , 2011, Proceedings of the IEEE.

[24]  Saif Sabah Sami,et al.  Control of a population of battery energy storage systems for frequency response , 2020, International Journal of Electrical Power & Energy Systems.