Find out about some of the previous events held by Durham Energy Institute:
Guest Seminar; Models and Tools for Supporting Policy Decision Making in Emerging Electric Power Systems - Tao Huang
DEI is pleased to be jointly hosting with Engineering & Computing Science and Durham Business School, a guest seminar by Tao Huang.
The emerging electric power systems (EPS) are increasingly characterized as "multi-layered flow networks". The different interacting layers span from physical/technical (the hardware of the network), cyber (measurement, communication and control), to market and business (wholesale and retail, services and operations), social (customers, users, stakeholders …), normative (administrative issues, standards, etc.), and political (local, national and regional decision making). The complexity thus arises from the intricate interactions among heterogeneous autonomous players in the EPS at different layers. This results in the co-evolution of the technical, cyber, market and business, social normative and political layers which must be assessed in a global perspective. The self-organizational properties merge in such a complex system may not favour the expectations of the society; therefore, the “control” of the overall system can only be achieved through a set of policies/regulations inducing the behaviours of the involved players due to their self-interest driven decisions. The modelling and simulation of the multi-layer interacting emerging EPS is key for supporting their design and assessment, and for anticipating future impacts and options to help all decision makers in determining their decisions.
In this seminar, the framework and the complexity of the emerging EPS will be briefly introduced. Under the framework, two cases of policy decision making will be discussed at the transmission and the distribution levels respectively. At the high voltage level, the policies on the congestion management methods in the bilateral electricity market will be assessed through the strongly stable evolutionary equilibrium based on complex network theories. In contrast, at the low voltage level, a scenario of smart grids is assumed in which a large amount of prosumers with their individual influenced attitude on the energy consumption and production by social networks and economic signals will play a crucial role in the feasibility and sustainability of the system. A market based control scheme will be illustrated as a way to optimize the global system performance through the induced prosumers’ behaviours.
Dr. Tao HUANG received his Ph.D. and master degrees in electrical engineering from Politecnico di Torino, Torino, Italy in 2011 and Shanghai Jiao Tong University, Shanghai, China in 2007, respectively. He also received two bachelor’s degrees in electrical engineering and finance from Shanghai Jiao Tong University, Shanghai, China in 2002. He is currently with the Department of Energy of Politecnico di Torino as senior research fellow. Starting from 2012, he has been working as Executive Vice Coordinator for an EU co-funded FP-7 security project SESAME (Securing the European electricity Supply Against Malicious and accidental thrEats).
He provided lectures to a doctoral course ‘power system economics’ together with other professors in Politecnico di Torino. He lectured an undergraduate course ‘power system analysis’ and supervised the graduates’ theses in Shanghai Electric Power Industry School (China). He has been member of various research teams for several European and Chinese projects, some of which got Advancement in Technology Awards in China.
He is a reviewer for several international journals, including IEEE Transactions on Power Systems, IEEE Transactions on Sustainable Energy, International Journal of Power and Energy Systems.
His research interests include global system science and complex system science and their applications to energy systems, especially to electricity markets, supporting policy decision making, energy security, including critical infrastructure protection. He co-authored more than 20 publications and book chapters on various topics related to the power systems analysis and modelling, risk assessment, etc.