Dr. Luis Ochoa is a Lecturer in Smart Distribution Networks and part of the Electrical Energy and Power Systems Group in the School of Electrical and Electronic Engineering, The University of Manchester, UK, where he has lectured in the undergraduate units "Generation and Transport of Electrical Energy" and "Power Systems: Analysis", as well as postgraduate units "Power System Operation and Economics" and "Smart Grids & Sustainable Electricity Systems". From 2007 to 2010 he was Research Fellow with the Institute for Energy Systems in the School of Engineering at The University of Edinburgh, UK. Dr Ochoa is an IEEE Senior Member since 2012 and currently the Chair of the UK and ROI IEEE Power & Energy Society Chapter. In 2010 he undertook an industrial secondment with the Edinburgh-based company Psymetrix Ltd. He holds a Bachelor's degree in Mechanical and Electrical Engineering gained at UNI, Peru, and a Research MSc and a PhD in Electrical Power Engineering, both gained at UNESP Ilha Solteira, Brazil. He has more than 70 research papers in peer-reviewed top ranked journals and top class international conference and is also co-inventor of one patent filed by Psymetrix Ltd.

The transition towards low-carbon societies poses significant challenges to power systems around the world, from bulk generation to low voltage distribution networks. The cost-effective integration of technologies such as renewable distributed generation, electricity storage, electric vehicles, etc., requires distribution network operators to move from semi-passive approaches to one where controllable devices and network participants are actively and optimally managed to ensure the adequate flexible operation of the network. On the other hand, from the bulk generation perspective, generation portfolios have traditionally been designed to provide flexibility in a context where demand has to be met. The integration of variable and uncertain renewable generation sources, such as wind, increases the flexibility needed to maintain the load-generation balance. Consequently, the role of flexibility, has also to be investigated in terms of generation planning and market operation.
This presentation will address the aspects related to the provision of flexibility in both distribution networks and generation portfolios. For the former, the use of AC Optimal Power Flow as a planning and control tool will be introduced. A long-term unit commitment-based planning algorithm to determine the optimal investments in flexible generating units will be presented for the latter.

Dr. Pierluigi Mancarella is a Lecturer in Sustainable Energy Systems in the School of Electrical and Electronic Engineering, University of Manchester (UoM), UK. He is part of the Electrical Energy and Power Systems (EEPS) group and teaches “Power systems operation and economics” and “Smart Grid and sustainable electricity systems” in the Electrical Power Systems Engineering MSc course at the UoM. He got his MSc (2002) and PhD (2006) degrees in Electrical Engineering (Power Systems) from the Politecnico di Torino, Italy. Before starting at the UoM, he was a Visiting Researcher at the NTNU of Trondheim, Norway (2004), a Research Fellow in Torino (2006÷2007), and a Research Associate at Imperial College London (2008÷2011). Dr. Pierluigi Mancarella is currently involved in and leading a number of research projects, funded by the UK Research Council, the European Commission, and industrial companies, in the area of techno-economics of smart energy systems. He is the author of two books, five book chapters, and more than 70 highly cited research papers in top-class peer-reviewed international journals and conferences.
The Smart Grid is a hot research topic worldwide within the context of delivering a sustainable electricity system at an affordable cost. However, the need to move towards a low carbon future and meet challenging environmental targets calls for rethinking the entire energy system, including the way we provide heating and cooling and the interactions of these sectors along with power systems with fuel chains and renewable resources. In fact, it is now recognized that historical de-coupling of energy sectors is inefficient from both operation and planning perspectives. In addition, heating and cooling represent major contributions to energy consumption and greenhouse gas emissions. Coupling of electricity, heat/cooling and gas networks through distribution infrastructure is increasingly taking place through various distributed technologies such as combined heat and power (CHP), electric heat pumps, air conditioning devices, trigeneration of electricity heat and cooling, and so on. While these emerging interactions pose significant challenges in terms of modeling and assessment techniques that can cater for integrated energy systems, they also represent an invaluable opportunity for new research. In particular, other energy sectors can somehow provide flexibility to the electricity one (for instance, through thermal storage in heat pumps that can be used to provide frequency control and reserve services by demand response), efficiency can be improved when multiple energy vectors are generated simultaneously (for instance, in CHP plants), and integrated planning of energy networks can be more effective that disaggregated planning. On these premises, the aim of this presentation is to illustrate the ongoing activities at the University of Manchester in terms of multi-energy systems according to a Smart (Multi-energy) Grid vision.

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