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Reference Number EP/L014351/1
Title Role of energy storage in enhancing operation and stability performance of sustainable power systems (RESTORES)
Status Completed
Energy Categories OTHER POWER and STORAGE TECHNOLOGIES(Electricity transmission and distribution) 50%;
OTHER POWER and STORAGE TECHNOLOGIES(Energy storage) 50%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor J Milanovic
No email address given
Electrical & Electronic Engineering
University of Manchester
Award Type Standard
Funding Source EPSRC
Start Date 01 July 2014
End Date 30 June 2017
Duration 36 months
Total Grant Value £1,019,958
Industrial Sectors Energy
Region North West
Programme Energy : Energy
 
Investigators Principal Investigator Professor J Milanovic , Electrical & Electronic Engineering, University of Manchester (99.993%)
  Other Investigator Dr JW Spencer , Electrical Engineering and Electronics, University of Liverpool (0.001%)
Dr L Jiang , Electrical Engineering and Electronics, University of Liverpool (0.001%)
Professor N (Nick ) Jenkins , Engineering, Cardiff University (0.001%)
Dr J Wu , Engineering, Cardiff University (0.001%)
Professor G (Goran ) Strbac , Department of Electrical and Electronic Engineering, Imperial College London (0.001%)
Professor T Green , Department of Electrical and Electronic Engineering, Imperial College London (0.001%)
Professor RB Vinter , Department of Electrical and Electronic Engineering, Imperial College London (0.001%)
Web Site
Objectives
Abstract RESTORES project seeks to bring together a joint UK-China consortium with the skills necessary to assess the potential contribution of different storage technologies to support cost-effective steady state and dynamic operation and frequency and angular stability of storage supported power system with large penetration of renewable intermittent and stochastic generation.This will involve characterisation and aggregation of steady-state, dynamic and transit responses of multiple types of grid-scale energy storage systems, with a key challenge of dealing with uncertainty and incorporation of inter-temporal dependencies associated with changes in aggregated storage charging / discharging ratings across time.Furthermore, we will carry out fundamental research to incorporate, for the first time, multi-time scale phenomena in generation scheduling while achieving appropriate robustness of schedules. The focus on the investigation of new multi-layer scheduling and dispatch models and integrate pseudo-dynamic constraints, which has not been attempted before.We will finally develop novel stability methodologies for ranking generators and storage technologies based on their contribution to system frequency and angular stability, investigate new framework for probabilistic risk based stability assessment, which will characterise, for the first time, dynamic signature of sustainable systems, identify aggregate dynamic contribution of dispersed storage technologies and develop local and WAMS based damping controllers for individual units and clusters of energy storage technologies.The results of the project will contribute to preventing society from incurring potentially huge costs and discomfort due to uncertainties resulting from spatial and temporal uncertainty associated with the operation of renewable generation and increase confidence in the future power system's ability to satisfy the long term needs of society and industry, as the level of uncertainty and risk in the power system increases.
Publications (none)
Final Report (none)
Added to Database 09/12/14