## Journal of Applied Mathematics

• J. Appl. Math.
• Volume 2014, Special Issue (2014), Article ID 857541, 12 pages.

### Optimal Operation Method for Microgrid with Wind/PV/Diesel Generator/Battery and Desalination

#### Abstract

The power supply mode of island microgrid with a variety of complementary energy resources is one of the most effective ways to solve the problem of future island power supply. Based on the characteristics of seawater desalination system and water demand of island residents, a power allocation strategy for seawater desalination load, storage batteries, and diesel generators is proposed with the overall consideration of the economic and environmental benefits of system operation. Furthermore, a multiobjective optimal operation model for the island microgrid with wind/photovoltaic/diesel/storage and seawater desalination load is also proposed. It first establishes the objective functions which include the life loss of storage batteries and the fuel cost of diesel generators. Finally, the model is solved by the nondominated sorting genetic algorithm (NSGA-II). The island microgrid in a certain district is taken as an example to verify the effectiveness of the proposed optimal method. The results provide the theoretical and technical basis for the optimal operation of island microgrid.

#### Article information

Source
J. Appl. Math., Volume 2014, Special Issue (2014), Article ID 857541, 12 pages.

Dates
First available in Project Euclid: 1 October 2014

https://projecteuclid.org/euclid.jam/1412177995

Digital Object Identifier
doi:10.1155/2014/857541

#### Citation

Tang, Qingfeng; Liu, Nian; Zhang, Jianhua. Optimal Operation Method for Microgrid with Wind/PV/Diesel Generator/Battery and Desalination. J. Appl. Math. 2014, Special Issue (2014), Article ID 857541, 12 pages. doi:10.1155/2014/857541. https://projecteuclid.org/euclid.jam/1412177995

#### References

• B. Zhao, X. Zhang, P. Li et al., “Optimal sizing, operating strategy and operational experience of a stand-alone microgrid on Dongfushan Island,” Applied Energy, vol. 113, pp. 1656–1666, 2014.
• R. M. Kamel, “Employing two novel mechanical fault ride through controllers for keeping stability of fixed speed wind generation systems hosted by standalone micro-grid,” Applied Energy, vol. 116, pp. 398–408, 2014.
• G. P. Giatrakos, T. D. Tsoutsos, P. G. Mouchtaropoulos, G. D. Naxakis, and G. Stavrakakis, “Sustainable energy planning based on a stand-alone hybrid renewableenergy/hydrogen power system: application in Karpathos island, Greece,” Renewable Energy, vol. 34, no. 12, pp. 2562–2570, 2009.
• K. Bourouni, T. Ben M'Barek, and A. Al Taee, “Design and optimization of desalination reverse osmosis plants driven by renewable energies using genetic algorithms,” Renewable Energy, vol. 36, no. 3, pp. 936–950, 2011.
• E. Koutroulis and D. Kolokotsa, “Design optimization of desalination systems power-supplied by PV and W/G energy sources,” Desalination, vol. 258, no. 1–3, pp. 171–181, 2010.
• S. Obara, S. Watanabe, and B. Rengarajan, “Operation method study based on the energy balance of an independent microgrid using solar-powered water electrolyzer and an electric heat pump,” Energy, vol. 36, no. 8, pp. 5200–5213, 2011.
• J. Chen, C. Wang, B. Zhao, X. Zhang, and X. Ge, “Optimal sizing for stand-alone microgrid considering different control strategies,” Automation of Electric Power Systems, vol. 37, no. 11, pp. 1–6, 2013.
• J. Chen, C. Wang, B. Zhao, and X. Zhang, “Economic operation optimization of a stand-alone microgrid system considering characteristics of energy storage system,” Automation of Electric Power Systems, vol. 36, no. 20, pp. 25–31, 2012.
• M. Liu, C. Wang, L. Guo, B. Zhao, X. Zhang, and Y. Liu, “An optimal design method of multi-objective based island microgrid,” Automation of Electric Power Systems, vol. 36, no. 17, pp. 34–39, 2012.
• G. Carpinelli, P. Caramia, F. Mottola et al., “Exponential weighted method and a compromise programming method for multi-objective operation of plug-in vehicle aggregators in microgrids,” International Journal of Electrical Power and Energy Systems, vol. 56, pp. 374–384, 2014.
• M. Liu, C. Wang, L. Guo, B. Zhao, X. Zhang, and Y. Liu, “An optimal design method of multi-objective based island microgrid,” Automation of Electric Power Systems, vol. 36, no. 17, pp. 34–39, 2010.
• S. Ozdemir, N. Altin, and I. Sefa, “Single stage three level grid interactive MPPT inverter for PV systems,” Energy Conversion and Management, vol. 80, pp. 561–572, 2014.
• A. M. Eltamaly and H. M. Farh, “Maximum power extraction from wind energy system based on fuzzy logic control,” Electric Power Systems Research, vol. 97, pp. 144–150, 2013.
• B. Bahmani-Firouzi and R. Azizipanah-Abarghooee, “Optimal sizing of battery energy storage for micro-grid operation management using a new improved bat algorithm,” International Journal of Electrical Power and Energy Systems, vol. 56, pp. 42–54, 2014.
• A. Baziar and A. Kavousi-Fard, “Considering uncertainty in the optimal energy management of renewable micro-grids including storage devices,” Renewable Energy, vol. 59, pp. 158–166, 2013.
• C. Zhou, K. Qian, M. Allan, and W. Zhou, “Modeling of the cost of EV battery wear due to V2G application in power systems,” IEEE Transactions on Energy Conversion, vol. 26, no. 4, pp. 1041–1050, 2011.
• M. Farina and P. Amato, “A fuzzy definition of “optimality” for many-criteria optimization problems,” IEEE Transactions on Systems, Man, and Cybernetics A: Systems and Humans, vol. 34, no. 3, pp. 315–326, 2004. \endinput