Electric Distribution Network Planning pp 185-214 | Cite as

# Battery Energy Storage Planning

## Abstract

Rechargeable grid-scale batteries are suitable and mature technology for energy storage in active distribution networks. Battery energy storage (BES) units have many advantages and are used for several purposes in electric systems and distribution grids. They are used not only for peak shaving and voltage regulation, but also for reliability enhancement and dispatching the renewable-based distributed generation (DG) sources. However, BES technologies are still expensive and need to be employed optimally to prevent excess investment cost. Optimal planning of BES is a complex approach that determines the type, location, capacity and power rating of energy storage units. The optimization should handle the uncertain conditions and it requires to develop the appropriate models and methods. There are many effective components that should be addressed. These components influence the results of the optimal planning and make it more complicated. In this chapter the optimal BES planning methodologies are presented. Firstly the optimization problem is formulated considering different economic perspectives. Then the approaches and strategies for solving the combinatorial problem are described. In this way, both the probabilistic and possibilistic methods and models are displayed. In addition, the most important components and factors that affect the optimal planning are characterized and analyzed, including conventional DGs, renewable-based DGs, capacitor banks, plug-in electric vehicles, etc.

## Keywords

Battery energy storage Optimal planning Active distribution network## References

- 1.P. Poonpun, W.T. Jewell, Analysis of the cost per kilowatt hour to store electricity. IEEE Trans. Energy Conv.
**23**(2), 529–534 (2008)CrossRefGoogle Scholar - 2.E. Naderi, I. Kiaei, M.R. Haghifam, NaS technology allocation for improving reliability of DG-enhanced distribution networks, in
*Proceedings of IEEE International Conference on Probabilistic Methods Applied to Power Systems*, Singapore (2010), pp. 148–153Google Scholar - 3.M.N. Kabir, Y. Mishra, G. Ledwich, Z. Xu, R.C. Bansal, Improving voltage profile of residential distribution systems using rooftop PVs and battery energy storage systems. Appl. Energy
**134**, 290–300 (2014)CrossRefGoogle Scholar - 4.B. Zakeri, S. Sanna, Electrical energy storage systems: a comparative life cycle cost analysis. Renew. Sustain. Energy Rev.
**42**, 569–596 (2015)CrossRefGoogle Scholar - 5.X. Luo, J. Wang, M. Dooner, J. Clarke, Overview of current development in electrical energy storage technologies and the application potential in power system operation. Appl. Energy
**137**, 511–536 (2015)CrossRefGoogle Scholar - 6.Technology Roadmap Energy storage, [Online] Available: https://www.iea.org/publications
- 7.M. Daghi, M. Sedghi, M. Aliakbar-Golkar, Optimal battery planning in grid connected distributed generation systems considering different technologies, in
*Proceedings of 20th Iranian Electrical Power Distribution Conference*, Zahedan, Iran (2015), pp. 138–142Google Scholar - 8.A. Ahmadian, M. Sedghi, M. Aliakbar-Golkar, Fuzzy load modeling of plug-in electric vehicles for optimal storage and DG planning in active distribution network. IEEE Trans. Veh. Technol.
**66**(5), 3622–3631 (2017)CrossRefGoogle Scholar - 9.M. Daghi, M. Sedghi, A. Ahmadian, M. Aliakbar-Golkar, Factor analysis based optimal storage planning in active distribution network considering different battery technologies. Appl. Energy
**183**, 456–469 (2016)CrossRefGoogle Scholar - 10.R. Anindita, S.B. Kedare, S. Bandyopadhyay, Optimum sizing of wind-battery systems incorporating resource uncertainty. Appl. Energy
**87**, 2712–2727 (2010)CrossRefGoogle Scholar - 11.O. Ekren, B.Y. Ekren, Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing. Appl. Energy
**87**, 92–98 (2010)CrossRefGoogle Scholar - 12.J.M. Lujano-Rojas, R. Dufo-Lopez, J.L. Bernal-Agustin, Optimal sizing of small wind/battery systems considering the DC bus voltage stability effect on energy capture, wind speed variability, and load uncertainty. Appl. Energy
**93**, 404–412 (2012)CrossRefGoogle Scholar - 13.V. Carpentiero, R. Langella, A. Testa, Hybrid wind-diesel stand-alone system sizing accounting for component expected life and fuel price uncertainty. Electr. Power Syst. Res.
**88**, 69–77 (2012)CrossRefGoogle Scholar - 14.J. Wang, F. Yang, Optimal capacity allocation of standalone wind/solar/battery hybrid power system based on improved particle swarm optimization algorithm. IET Renew. Power Gener.
**7**(5), 443–448 (2013)CrossRefGoogle Scholar - 15.Y.M. Atwa, E.F. El-Saadany, Optimal allocation of ESS in distribution systems with a high penetration of wind energy. IEEE Trans. Power Syst.
**25**(4), 1815–1822 (2010)CrossRefGoogle Scholar - 16.J. Tant, F. Geth, D. Six, P. Tant, J. Driesen, Multiobjective battery storage to improve PV integration in residential distribution grids. IEEE Trans. Sustain. Energy
**4**(1), 182–191 (2013)CrossRefGoogle Scholar - 17.M. Sedghi, A. Ahmadian, M. Aliakbar-Golkar, Optimal storage planning in active distribution network considering uncertainty of wind power distributed generation. IEEE Trans. Power Syst.
**31**(1), 304–316 (2016)CrossRefGoogle Scholar - 18.M.A. Abido, Multiobjective particle swarm optimization for environmental/economic dispatch problem. Elect. Power Syst. Res.
**79**(7), 1105–1113 (2009)CrossRefGoogle Scholar - 19.M. Sedghi, M. Aliakbar-Golkar, Analysis and comparison of load flow methods for distribution networks considering distributed generation. Int. J. Smart Elect. Eng.
**1**(1), 27–32 (2012)Google Scholar - 20.P. Chen, Z. Chen, B. Bak-Jensen, Probabilistic load flow: a review, in
*Proceedings of 3rd International Electric Utility Deregulation and Restructuring and Power technology conference*, Nanjing, China (2008), pp. 1586–1591Google Scholar - 21.S. Chun-Lien, Probabilistic load-flow computation using point estimate method. IEEE Trans. Power Syst.
**20**(4), 1843–1851 (2005)CrossRefGoogle Scholar - 22.G. Verbic, C.A. Canizares, Probabilistic optimal power flow in electricity markets based on a two-point estimate method. IEEE Trans. Power Syst.
**21**(4), 1883–1893 (2006)CrossRefGoogle Scholar - 23.T. Williams, C. Crawford, Probabilistic load flow modeling comparing maximum entropy and Gram-Charlier probability density function reconstructions. IEEE Trans. Power Syst.
**28**(1), 272–280 (2013)CrossRefGoogle Scholar - 24.Y. Deng, X. Ren, Fuzzy modeling of capacitor switching for radial distribution systems, in
*Proceedings of IEEE Power Engineering Society Winter Meeting*, Columbus, OH, USA (2001), pp. 830–834Google Scholar - 25.J. Hao, L. Shi, G. Xu, Y. Xie, Study on the fuzzy AC power flow model, in
*Proceedings of 5th World Congress Intelligent Control and Automation*, Hangzhou, China (2004), pp. 5092–5096Google Scholar - 26.W. Ouyang, H. Cheng, X. Zhang, L. Yao, Distribution network planning method considering distributed generation for peak cutting. Energy Convers. Manage.
**51**(12), 2394–2401 (2010)CrossRefGoogle Scholar - 27.M. Sedghi, M. Aliakbar-Golkar, M.R. Haghifam, Distribution network expansion considering distributed generation and storage units using modified PSO algorithm. Elect. Power Energy Syst.
**52**, 221–230 (2013)CrossRefGoogle Scholar - 28.M. Sedghi, M. Aliakbar-Golkar, Optimal storage scheduling in distribution network considering fuzzy model of PEVs, in
*Proceedings of 18th Conference on Electric Power Distribution*30 Apr–1 May 2013, pp. 1–6Google Scholar - 29.D. Suchitra, R. Jegatheesan, M. Umamaheswara Reddy, T.J. Deepika, Optimal sizing for stand-alone hybrid PV-wind power supply system using PSO, in
*Proceedings of International Conference on Swarm, Evolutionary and Memetic Computing*(2013), pp. 617–629Google Scholar - 30.M. Ghofrani, A. Arabali, M. Etezadi-Amoli, M.S. Fadali, A framework for optimal placement of energy storage units within a power system with high wind penetration. IEEE Trans. Sustain. Energy
**4**(2), 434–442 (2013)CrossRefGoogle Scholar - 31.M. Ghofrani, A. Arabali, M. Etezadi-Amoli, M.S. Fadali, Energy storage application for performance enhancement of wind integration. IEEE Trans. Power Syst.
**28**(4), 4803–4811 (2013)CrossRefGoogle Scholar - 32.H. Kihara, A. Yokoyama, K.M. Liyanage, H. Sakuma, Optimal placement and control of BESS for a distribution system integrated with PV systems. Int. Council Elect. Eng.
**1**(3), 298–303 (2011)CrossRefGoogle Scholar - 33.M. Sedghi,
*Optimal Battery Planning in Active Distribution Networks Considering Plug-in Electric Vehicles Uncertainty*, Ph.D. thesis, K. N. Toosi University of Technonlgy, Tehran, Iran, 2015Google Scholar - 34.A. Ahmadian, M. Sedghi, M. Aliakbar-Golkar, A. Elkamel, M. Fowler, Optimal probabilistic based storage planning in tap-changer equipped distribution network including PEVs, capacitor banks and WDGs: a case study for Iran. Energy
**112**, 984–997 (2016)CrossRefGoogle Scholar - 35.O. Anuta, N. Wade, J. McWilliams, Coordinated operation of energy storage and on-load tap changer on a UK 11 kV distribution network, in
*Proceedings of 22nd International Conference on Electricity Distribution (CIRED)*, Stockholm, Sweden, June 2013, pp. 1–4Google Scholar - 36.A. Gabash, P. Li, Flexible optimal operation of battery storage systems for energy supply networks. IEEE Trans. Power Syst.
**28**(3), 2788–2797 (2013)CrossRefGoogle Scholar