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Di Zhang's Webpage

Photo of Di Zheng Postgraduate Researcher

Phone: +44 (0)20 7679 3836
Email: di.zhang.09@ucl.ac.uk
Address:
Department of Chemical Engineering
University College London
Torrington Place
London WC1E 7JE
United Kingdom

Di Zhang received her Bachelor degree in Chemical Engineering from Dalian University of Technology in 2006 and Master degree from Helsinki University of Technology in 2008. Her research area was on plant design and process automation. Now her research topic is on microgrid optimization.

Research project

Title: Fair settlement among participants in microgrid

Supervisors: Dr Lazaros Papageorgiou, Dr Dan Brett and Prof Nilay Shah (Imperial College)

Microgrids are emerging as an integral feature of the future power systems and are considered as a promising alternative to centralized generation. Microgrid can operate in both grid connected and islanded modes in case of external faults. As a localized network, a microgrid includes integrating loads, distributed generators and energy storage devices. The distributed generators applicable for a microgrid comprise emerging technologies, such as combined heat and power (CHP) micro turbines, wind generators, photovoltaic arrays, PV panels and fuel cells and also some well established generators, such as small hydro.

Energy storage devices are applied to balance the power and energy demand with generation, in case of disturbances and significant load changes. Batteries, fly-wheels and super-capacitors are more applicable for microgrid among the available energy storage technologies.  It operates and fulfils the local energy demands according to its own protocols and standards. It benefits in aspects of economics, environment and security. As a local power network, the participants in a microgrid cooperate and can achieve better economic benefits. However, for all the available models, the objective function is to minimize the global cost for the whole microgrid, costs of respective participant are not under consideration. There is a desire to design a microgrid with a fair settlement which can minimize the equivalent annual cost as a whole while ensuring adequate rewards for each participant. This model can provides both the optimized capacities of candidate technologies as well as the operation schedule.

Page last modified on 15 sep 11 09:47