On Sizing of Standalone Hybrid Wind/Solar/Battery Micro-grid System   U. Akram, M. Khalid and S. Shafiq   2017/04/25

Abstract

Capacity optimization of renewable energy sources such as solar and wind and the optimal sizing of associated battery energy storage (BES) is essential for economic and reliable operation of a standalone micro-grid (MG). In this work a constraint based iterative search algorithm is proposed to find the optimal sizes of solar, wind and battery capacity in a standalone MG. The proposed method is based on two basic principles, i.e., maximum reliability and minimum cost. The proposed technique is robust and guarantees to avoid the over and under sizing. In addition it considers the forced outage rates (FORs) of solar and wind and utilization factor of battery storage which makes it more practical. Renewables and demand data of Dammam region of KSA is used to test the proposed method. A reliability and economic analysis is also carried out to validate the proposed technique.

Authors and affiliations

U. Akram, M. Khalid and S. Shafiq
Department of Electrical Engineering. King Fahd University of Petroleum and Minerals (KFUPM), Kingdom of Saudi Arabia

Key word

Micro-grid, wind power, solar power, battery energy storage, optimization

References

[1] C. Li, X. Liu, Y. Cao, P. Zhang, H. Shi, L. Ren, and Y. Kuang, “A time-scale adaptive dispatch method for renewable energy power supply systems on Islands,” IEEE Transactions on Smart Grid, vol. 7, no. 2, pp. 1069–1078, 2016.
[2] T. Ma, H. Yang, and L. Lu, “A feasibility study of a stand-alone hybrid solar–wind–battery system for a remote Island,” Applied Energy, vol. 121, pp. 149–158, 2014.
[3] Y. Zhu, B. Liu, and X. Sun, “Frequency-based power management for PV/battery/fuel cell stand-alone microgrid,” in 2nd InternationalFuture Energy Electronics Conference (IFEEC). IEEE, 2015, pp. 1–6.
[4] B. Lynch, A. Kiger, and K. Hatipoglu, “An overview of hydrogen electrical energy storage meeting energy demand with intermittent renewable resources,” in IEEE SoutheastConf, 2016. IEEE, 2016, pp. 1–6.
[5] B. Zhou and T. Littler, “Local storage meets local demand: a technical solution to future power distribution system,”
IET Generation, Transmission & Distribution, vol. 10, no. 3, pp. 704–711, 2016.
[6] P. Denholm and R. M. Margolis, “Evaluating the limits of solar photovoltaics (pv) in electric power systems utilizing energy storage and other enabling technologies,” Energy Policy, vol. 35, no. 9, pp. 4424–4433, 2007.
[7] B. Yang, Y. Makarov, J. Desteese, V. Viswanathan, P. Nyeng, B. McManus, and J. Pease, “On the use of energy storage technologies for regulation services in electric power systems with significant penetration of wind energy,” in 5th International Conference on the European Electricity Market. IEEE, 2008, pp. 1–6.
[8] A. Khatamianfar, M. Khalid, A. V. Savkin, and V. G. Agelidis, “Improving wind farm dispatch in the Australian electricity market with battery energy storage using model predictive control,” IEEE Transactions on Sustainable Energy, vol. 4, no. 3, pp.745-755, 2013.
[9] M. Khalid and A. V. Savkin, “A model predictive control approach to the problem of wind power smoothing with controlled battery storage,” Renewable Energy, vol. 35, no. 7, pp. 1520-1526, 2010.
[10] S. Shafiq and A. T. Al-Awami, “Reliability and economic assessment of renewable micro-grid with V2G electric vehicles coordination,” in Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT). IEEE, 2015, pp. 1–6.
[11] A. V. Savkin, M. Khalid, V. G. Agelidis, “A Constrained monotonic charging/discharging strategy for optimal capacity of battery energy storage supporting wind farms,” IEEE Transactions on Sustainable Energy, vol. 7, no. 3, pp.1224-1231, 2016.
[12] M. Khalid, A. Ahmadi, A. V. Savkin, and V. G. Agelidis, “Minimizing the energy cost for microgrids integrated with renewable energy resources and conventional generation using controlled battery energy storage', Renewable Energy, vol. 97, pp. 646-655, 2016.
[13] Z. Benhachani, B. Azoui, R. Abdessemed, and M. Chabane, “Optimal sizing of a solar-wind hybrid system supplying a farm in a semi-arid region of algeria,” in 47th International Universities Power Engineering Conference (UPEC). IEEE, 2012, pp. 1–6.
[14] W. Kellogg, M. Nehrir, G. Venkataramanan, and V. Gerez, “Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems,” IEEE Transactions on Energy Conversion, vol. 13, no. 1, pp. 70–75, 1998.
[15] L. Xu, X. Ruan, C. Mao, B. Zhang, and Y. Luo, “An improved optimal sizing method for wind-solar-battery hybrid power system,” IEEE Transactions on Sustainable Energy, vol. 4, no. 3, pp. 774–785, 2013.
[16] H. Yang, L. Lu, and W. Zhou, “A novel optimization sizing model for hybrid solar-wind power generation system,” Solar Energy, vol. 81, no. 1, pp. 76–84, 2007.
[17] L. Wang and C. Singh, “Pso-based multi-criteria optimum design of a grid-connected hybrid power system with multiple renewable sources of energy,” in IEEE Swarm Intelligence Symposium. IEEE, 2007, pp. 250–257.
[18] S. Roy, “Market constrained optimal planning for wind energy conversion systems over multiple installation site,” IEEE Transactions on Energy Conversion, vol. 17, no. 1, pp. 124–129, 2002.