Control Architecture Requirements of Multitasking Battery Resource Operation

The paper addresses data exchange and telecontrol requirements of battery energy storage systems (BESSs) aimed to operate in a multitask environment. Requirements for the control architecture are set by tasks that are intended to be executed in parallel. In the paper, a semicentralized telecontrol structure is proposed. The control stucture is divided into three layers by taking into account the specific requirements of the battery system. The telecontrol architecture was tested and validated on an actual test platform having access to several BESS resources.

[1]  Thomas Erge,et al.  Analysis of the minimum activation period of batteries in frequency containment reserve , 2017, 2017 14th International Conference on the European Energy Market (EEM).

[2]  Arun Narayanan,et al.  Final report: Multi-objective role of battery energy storages in an energy system , 2018 .

[3]  Zhi Zhou,et al.  Energy Storage Arbitrage Under Day-Ahead and Real-Time Price Uncertainty , 2018, IEEE Transactions on Power Systems.

[4]  Tero Kaipia,et al.  Research Site for Low-Voltage Direct Current Distribution in a Utility Network—Structure, Functions, and Operation , 2014, IEEE Transactions on Smart Grid.

[5]  Baris Aksanli,et al.  Data Center Peak Power Management with Energy Storage Devices , 2017, IEEE Internet Computing.

[6]  Amin Khodaei,et al.  Battery energy storage sizing for commercial customers , 2017, 2017 IEEE Power & Energy Society General Meeting.

[7]  Jukka Lassila,et al.  Technical Implementation of the Battery Resource Control in a Multitask Operating Environment , 2019 .

[8]  Chresten Træholt,et al.  Active and reactive power support of MV distribution systems using battery energy storage , 2017, 2017 IEEE International Conference on Industrial Technology (ICIT).

[9]  Matti Lehtonen,et al.  Coordination strategies for distributed resources as frequency containment reserves , 2015, 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[10]  Jan Kleissl,et al.  Optimal allocation of battery energy storage systems in distribution networks considering high PV penetration , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[11]  Tero Kaipia,et al.  Control of directly connected energy storage in LVDC distribution network , 2015 .