Title :
Multi-objective optimization for environmental/economic microgrid scheduling
Author :
Parisio, Alessandra ; Glielmo, Luigi
Author_Institution :
Dept. of Eng., Univ. degli Studi del Sannio, Benevento, Italy
Abstract :
Microgrids are subsystems of the distribution grid which comprises small generation capacities, storage devices and controllable loads, which can operate either connected or isolated from the utility grid. A microgrid has the ability to increase energy efficiency and reduce emissions. This paper studies the microgrid environmental/economic problem, i.e. the problem of optimizing microgrid operations to fulfil a time-varying energy demand and operational constraints while achieving a tradeoff between microgrid running costs and emissions. The problem is posed as a multi-objective mixed-integer linear optimization problem, which is solved in an efficient way by using commercial solvers. A case study of a typical microgrid is investigated: simulation results show the feasibility and the effectiveness of the proposed approach.
Keywords :
distributed power generation; optimisation; power distribution economics; power generation scheduling; commercial solvers; controllable loads; distribution grid; environmental/economic microgrid scheduling; generation capacity; microgrid running costs; microgrid running emissions; multiobjective mixed-integer linear optimization problem; operational constraints; storage devices; time-varying energy demand constraints; utility grid; Economics; Generators; Load modeling; Optimization; Renewable energy resources; Vectors;
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012 IEEE International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4673-1420-6
DOI :
10.1109/CYBER.2012.6392519