Converter-Interfaced Energy Storage Systems
Context, Modelling and Dynamic Analysis

Provides in-depth coverage of the modelling, behaviour, control, and stability analysis of converter-interfaced energy storage systems.

Federico Milano (Author), Álvaro Ortega Manjavacas (Author)

9781108421065, Cambridge University Press

Hardback, published 16 May 2019

392 pages, 141 b/w illus.
25.3 x 17.8 x 2 cm, 0.94 kg

'Excellent and timely material written by experienced authors! You must read this book.' Jean Mahseredjian, Polytechnique Montréal

Gain an in-depth understanding of converter-interfaced energy storage systems with this unique text, covering modelling, dynamic behaviour, control, and stability analysis. Providing comprehensive coverage, it demonstrates the technical and economic aspects of energy storage systems, and provides a thorough overview of energy storage technologies. Several different modelling techniques are presented, including power system models, voltage-sourced converter models, and energy storage system models. Using a novel stochastic control approach developed by the authors, you will learn about the impact of energy storage on the dynamic interaction of microgrids with distribution and transmission systems. Compare the numerous real-world simulation data and numerical examples provided with your own models and control strategies. Accompanied online by a wealth of numerical examples and supporting data, this is the ideal text for graduate students, researchers, and industry professionals working in power system dynamics, renewable energy integration, and smart grid development.

Part I. Context: 1. Need for energy storage
2. Technical and economic aspects
3. Energy storage technologies
Part II. Modelling: 4. Power system model
5. Voltage-sourced converter model
6. Energy storage system models
Part III. Dynamic Analysis: 7. Comparison of dynamic models
8. Control techniques
9. Stability analysis
Part IV. Appendices.

Subject Areas: Energy conversion & storage [THRH], Power generation & distribution [THRB], Energy technology & engineering [TH], Energy [PHDY], Mathematical modelling [PBWH], Optimization [PBU]