Efficient energy dispatching in smart microgrids using an integration of fuzzy AHP and TOPSIS assisted by linear programming
- https://doi.org/10.2991/eusflat.2013.50How to use a DOI?
- Fuzzy number Multi-criteria optimization and decision making Smart microgrid
Energy dispatching in smart (micro)grids must take into account more conflicting objectives (or criteria), such as power reliability and quality, proper handling of the electricity demand, and cost decrease. The choice of the best alternative in energy dispatching decisions can be dealt with as a multi-criteria optimization and decision making problem. To this aim, we propose the use of linear programming to generate the possible alternatives, and the integration of fuzzy AHP and TOPSIS to select the best alternative. In particular, fuzzy AHP and TOPSIS are used, respectively, to prioritize the criteria and to evaluate the alternatives with respect to four conflicting criteria, namely, environmental impact, cost of the energy, distance of supply, and load level of power lines.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Beatrice Lazzerini AU - Francesco Pistolesi PY - 2013/08 DA - 2013/08 TI - Efficient energy dispatching in smart microgrids using an integration of fuzzy AHP and TOPSIS assisted by linear programming BT - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) PB - Atlantis Press SP - 350 EP - 357 SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2013.50 DO - https://doi.org/10.2991/eusflat.2013.50 ID - Lazzerini2013/08 ER -