CHP Microgrid Optimized Operation Based on Bacterial Foraging Optimization Algorithm

Abstract:

CHP system with Energy saving, environmental protection, economic and other characteristics,have good prospects for the development and application value.This paper directe a micro grid system consisted by photovoltaic cells, wind turbines, fuel cells, microturbines, auxiliary boilers, thermal energy storage systems and batteries and heat load and electrical load.Considering various distributed power generation costs, environmental costs and micro-grid equipment maintenance costs,To meet the constraints of micro-grid operation, optimization of the different micro-grid distributed power and energy storage system power output, make the system's total operating costs are minimized.This paper analyzes the economic and environmental of micro-grid optimal operation characteristics, given a model of CHP micro-grid.For the cost of power generation and emissions of different weights, using bacterial foraging optimization(BFO) algorithm,through a numerical example verified the Correctness and effectiveness of mathematical model and optimization algorithm .

• Periodical: Advanced Materials Research (Volume 981)
• Pages: 668-672
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.981.668
• Online since: July 2014
• Authors: Rui Li*, Peng Li
• Keywords: Bacterial Foraging Optimization, CHP, Microgrids (MGs), Ptimal Operation

References

[1] Molderink A, Bakker V, Bosman MGC, Hurink JL, Smit GJM. Innovative Smart Grid Technologies (ISGT); 2010. p. 1e8.

DOI: 10.1109/isgt.2010.5434731

[2] Gomez San Román T, Rivier Abad J. IEEE Trans Power Syst 2006; 21(2): 533–40.

[3] Lasseter RH, Akhil A, Marnay C, Stephens J, Dagle J, Guttomson G, Meliopoulous A, Yinger R, Eto. The CERTS microgrid concept white paper for transmission reliability program, office of power technologies, US Department of energy; (2002).

DOI: 10.2172/799644

[4] Lasseter RH. MicroGrids. Proc PES Winter Meet 2002; 1: 305–8.

[5] Hawkes A D, Leach M A. Applied energy, 2009, 86(7): 1253-1265.

[6] Wang Rui, Gu Wei, Wu Zhi. Automation of Electric Power System, 2011, 35(8): 22-27.

[7] Ding Ming, Zhang Yingyuan, Mao Meiqin, et al. Automation of Electric Power System, 2009, 33 (24): 78-82.

[8] Li Jingzhao. Mode of domestic 300MW thermal power unit. Journal of North China Electric Power University (Hebei), (2005).

[9] Lu Tai, Wang. JOURNAL OF SHENYANG INSTITUTE OF ENGINEERING (NATURAL SCIENCE) , 2008, 04: 306-309.

[10] Dong H; Ajith A; Jae H. Journal of Information Science, 2007, (18).

[11] Liu Xiaolong, Zhao Kuiling. Journal of Computer Applications , 2012, 32 (3): 634-637.

[12] Farhat I A, El-Hawary M E. IET generation, transmission & distribution, 2010, 4(9): 989-999.