The overall aim of RESTORES is to develop an understanding regarding the extent at which energy storage technologies can contribute to enhancing the ability of the system to cost-effectively integrate increased penetration of intermittent renewable generation by providing efficient and secure operation of sustainable power systems.

Concept: Investigate the contribution of energy storage technologies to improve the stability of the power system with increased penetration of renewables.

Importance and added value: The DECC 2050 Pathway analysis shows various ways to achieve the UK 2050 carbon reduction target. China is equally confronted by the pressure of global change and development, not only needing to reduce carbon emission, but also needing to meet an annual demand increase. It is a matter of urgency to investigate the use of grid scale energy storage to help meet these targets.

Project objectives

  • Characterise multiple types of grid-scale energy storage systems, establish their response characteristics and design appropriate individual and WAMS-based damping controllers to ensure provision of synthetic inertia, frequency and stability support to the system.
  •  Develop a multi-layer scheduling and dispatch model for a storage supported power system with intermittent renewable generation and robust stochastic unit commitment model with pseudo-dynamic constraints; and
  • Develop an index for assessing the contribution of power energy sources in a sustainable system based on their location and support to system frequency and angular stability and a framework for probabilistic stability assessment of systems with renewable generation and storage. 

Future development

The project will provide a strategic direction for the future use of grid scale energy storage.

Project documents

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Professor Jovica V Milanovic, The University of Manchester, Manchester, UK

Professor Hongbin Sun, Tsinghua University, Beijing, China


Project Administrator: Mrs Chris Wall


Engineering & Physical Sciences Research Council (EPSRC) and National Science Foundation of China

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