Scholarly record
DESIGN OF AN ENHANCED PERFORMANCE HYBRID AUTONOMOUS SYSTEM
Abstract
Challenges related to the management of current world energy resources strongly emphasize the necessity to progressively increase renewable energy sources (RES) share in meeting electricity demand. To design efficient and sustainable energy systems, it is mandatory to consider both electrical energy generation characteristics and environment preservation targets. The main objective of intensifying RES deployment nowadays is to concurrently mitigate fossil fuels depletion and environment degradation. However, to account for RES stochastic nature, it is necessary to use an additional element to perform the power balancing function and mitigate inherent power variations. Electricity storage systems represent a solution, accomplishing multiple functions, such as frequency and voltage regulation for small/large scale applications. Nevertheless, economic factors and very oriented technic features narrow their widespread. A much more adaptable solution to this matter is an alternative voltage source, which could respond better and to a wider range of solicitations, therefore enhancing RES-based systems operation. Furthermore, the interaction with the grid is improved. Diesel generators fall in this category; environmental issues arising from their exploitation could be mitigated by employing biomass-based fuels. This paper addresses the design and numerical modeling principles for a hybrid system comprising a micro-wind turbine, a diesel generator and a three-phase load. The system can operate both connected to the power network and in off-grid mode. The aim of the presented work is to develop a model that enables the analysis of the hybrid system?s behavior in different load conditions and random wind speed input, taking into account a customized efficiency curve. The focus on the efficiency curve is crucial because micro-turbines are particularly sensitive to the variation of wind speed and blade profile. The model is developed in Matlab environment, using Simscape/SimPowerSystems blocks. The advantages of such systems are highlighted and further integration benefits are clearly presented based on simulation results.
Publication Impact Profile
- Citations
- Scopus - Citation Indexes: 5
- Captures
- Mendeley - Readers: 13
Publication details
References14
D.-A. Ciup?geanu et al., “Modeling and control of a low power wind turbine,” in 2018 14th International Conference on Development and Application Systems, DAS 2018 - Proceedings, 2018.
D.-A. Ciup?geanu et al., “Wind energy integration: Variability analysis and power system impact assessment,” Energy, vol. 185, pp. 1183–1196, Oct. 2019.
O. Udrea and G. Lazaroiu, “RES INTEGRATION IN ROMANIA,” U.P.B. Sci. Bull., Ser. C, 2015.
A. B?rlog and G. L?z?roiu, “VARIATION OF ENERGY PRICE AND PRICE COMPONENTS IN ROMANIAN ENERGY MARKET,” U.P.B. Sci. Bull., Ser. C, 2017.
M. Hazmoune et al., “Influence of the geometric and mechanical parameters on the temperature evolution within the tubes of a receiver from a solar power tower,” Univ. Politeh. Bucharest, Sci. Bull. Ser. D, vol. 82, no. 1, pp. 163–176, 2020.
M. Y. Worku, M. A. Hassan, and M. A. Abido, “Real time energy management and control of renewable energy based microgrid in grid connected and Island modes,” Energies, vol. 12, no. 2, 2019.
H. Ibrahim, R. Youn?s, T. Basbous, A. Ilinca, and M. Dimitrova, “Optimization of diesel engine performances for a hybrid wind-diesel system with compressed air energy storage,” Energy, vol. 36, no. 5, pp. 3079–3091, 2011.
S. A. Shezan et al., “Performance analysis of an off-grid wind-PV (photovoltaic)-diesel-battery hybrid energy system feasible for remote areas,” J. Clean. Prod., vol. 125, pp. 121–132, 2016.
M. C. Argyrou, P. Christodoulides, and S. A. Kalogirou, “Energy storage for electricity generation and related processes: Technologies appraisal and grid scale applications,” Renew. Sustain. Energy Rev., vol. 94, no. July, pp. 804–821, 2018.
N. Hatziargyriou, H. Asano, R. Iravani, and C. Marnay, “Microgrids: An Overview of Ongoing Research, Development, and Demonstration Projects,” IEEE Power Energy Mag., vol. 5, no. 4, pp. 78–94, 2007.
R. Madhumitha and R. Vinothkumar, “Voltage regulation in mircogrid using adaptive controller,” Proceeding IEEE Int. Conf. Green Comput. Commun. Electr. Eng. ICGCCEE 2014, no. 3, 2014.
International Renewable Energy Agency, “Innovation Outlook Renewable Mini-Grids,” 2016.
H. Q. Minh, N. Fredric, E. Najib, and H. Abdelaziz, “Power management of a variable speed wind turbine for stand-alone system using fuzzy logic,” IEEE Int. Conf. Fuzzy Syst., pp. 1404–1410, 2011.
W. T. Huang, K. C. Yao, C. C. Wu, and S. W. Wang, “Dynamic simulation and analysis of a low-voltage micro-grid,” Proc. - 2012 Int. Conf. Comput. Meas. Control Sens. Network, C. 2012, vol. 8, pp. 245–248, 2012.
Citing literature
Number of times cited according to Crossref: 4
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.