
Battery energy management strategies for UK firm frequency response services and energy arbitrage
Author(s) -
Gundogdu Burcu,
Gladwin Daniel,
Stone David
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.8226
Subject(s) - computer science , automatic frequency control , arbitrage , electricity , demand response , grid , electricity market , renewable energy , energy storage , scheduling (production processes) , automotive engineering , electrical engineering , power (physics) , engineering , telecommunications , business , finance , operations management , physics , mathematics , quantum mechanics , geometry
Due to the increasing renewable penetration, there is potential for larger and faster grid frequency fluctuations increasing the risk of system instability. The National Grid Electricity Transmission, primary electricity transmission network operator in the UK, has introduced various frequency response services that are developed to provide a real‐time response to deviations in the grid frequency. A battery energy storage system is a suitable choice for delivering such services. Here, a control algorithm is presented which generates a charge/discharge power output with respect to deviations in the grid frequency and the required specifications. Using the real UK electricity prices, an arbitrage control algorithm has been also developed to deliver different types of grid balancing services, while scheduling throughout the day for energy arbitrage. Simulation results show that the proposed algorithm delivers both dynamic and non‐dynamic firm frequency response and also enhanced frequency response to specifications, while generating arbitrage revenue in the balancing market. Simulation results on a 1 MW/1 MWh lithium‐titanate BESS are provided to verify the proposed algorithm based on the control of an experimentally validated battery model.