engleski

Modelling and Evaluation of Flexible Multi-Energy Systems for Low Carbon Environment

Aggregating groups of consumers of different energy vectors and generating units at a single location with centralized control is known as the concept of multi-energy microgrid (MEM). However, if those potentially flexible producers and consumers do not have the ability to balance the variability and uncertainty of their renewable energy sources production within them, from the system perspective, they are seen as potential problem in maintaining the equilibrium of production and consumption. One of the key characteristics of the microgrid operation that needs to be achieved is flexibility. Main goal of this research is to quantify this ability of MEM components to provide flexibility. The thesis presents an optimization framework that includes the MILP (Mixed Integer Linear Programming) model enhanced with corrective receding horizon approach in order to capture the value of integrating multiple energy vectors, their optimal operation and their flexibility potential for low carbon energy system. Scientific contributions of the thesis include firstly a mixed integer linear optimisation model for planning and estimating long-term flexibility aspects of multi-energy microgrids ; secondly receding horizon corrective scheduling based algorithm for optimal short- term operation of flexible multi-energy microgrids ; and finally a model for defining the potential and value of flexibility services of multi-energy microgrids to a low-carbon power system operation.

više-energijski sustavi, mikromreže, fleksibilnost, operacijska istraživanja, linearna optimizacija

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