International Science Index


10007638

Optimal Placement and Sizing of Energy Storage System in Distribution Network with Photovoltaic Based Distributed Generation Using Improved Firefly Algorithms

Abstract:

The installation of photovoltaic based distributed generation (PVDG) in active distribution system can lead to voltage fluctuation due to the intermittent and unpredictable PVDG output power. This paper presented a method in mitigating the voltage rise by optimally locating and sizing the battery energy storage system (BESS) in PVDG integrated distribution network. The improved firefly algorithm is used to perform optimal placement and sizing. Three objective functions are presented considering the voltage deviation and BESS off-time with state of charge as the constraint. The performance of the proposed method is compared with another optimization method such as the original firefly algorithm and gravitational search algorithm. Simulation results show that the proposed optimum BESS location and size improve the voltage stability.

References:
[1] N. C. Scott, D.J. Atkinson, J.E. Morrell, Use of load control to regulate voltage on distribution networks with embedded generation, Power Systems, IEEE Transactions on, 17 (2002) 510-515.
[2] N. Kakimoto, P. Qin-Yun, H. Ito, Voltage Control of Photovoltaic Generator in Combination With Series Reactor, Sustainable Energy, IEEE Transactions on, 2 (2011) 374-382.
[3] W. A. Omran, M. Kazerani, M. M. A. Salama, Investigation of Methods for Reduction of Power Fluctuations Generated From Large Grid-Connected Photovoltaic Systems, Energy Conversion, IEEE Transactions on, 26 (2011) 318-327.
[4] H. Kihara, A. Yokoyama, K. M. Liyanage, H. Sakuma, Optimal Placement and Control of BESS for a Distribution System Integrated with PV Systems, Journal of International Council on Electrical Engineering, 1 (2011) 298-303.
[5] M. Hoffman, A. Sadovsky, M. Kintner-Meyer, J. DeSteese, Analysis tools for sizing and placement of energy storage in grid applications: a literature review, Pacific Northwest National Laboratory, (2010).
[6] M. Nick, M. Hohmann, R. Cherkaoui, M. Paolone, Optimal location and sizing of distributed storage systems in active distribution networks, in: PowerTech (POWERTECH), 2013 IEEE Grenoble, 2013, pp. 1-6.
[7] Q. Zhong, N. Yu, X. Zhang, Y. Yi, L. Dong, Optimal siting & sizing of battery energy storage system in active distribution network, in: Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES, 2013, pp. 1-5.
[8] C. Venu, Y. Riffonneau, S. Bacha, Y. Baghzouz, Battery Storage System sizing in distribution feeders with distributed photovoltaic systems, in: PowerTech, 2009 IEEE Bucharest, 2009, pp. 1-5.
[9] Y. Ye, L. Hui, A. Aichhorn, Z. Jianping, M. Greenleaf, Sizing Strategy of Distributed Battery Storage System With High Penetration of Photovoltaic for Voltage Regulation and Peak Load Shaving, Smart Grid, IEEE Transactions on, 5 (2014) 982-991.
[10] M. Nick, M. Hohmann, R. Cherkaoui, M. Paolone, On the optimal placement of distributed storage systems for voltage control in active distribution networks, in: Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on, 2012, pp. 1-6.
[11] T. Chaiyatham, I. Ngamroo, Bee colony optimization of battery capacity and placement for mitigation of voltage rise by P V in radial distribution network, in: IPEC, 2012 Conference on Power & Energy, 2012, pp. 13-18.
[12] M. Eslami, H. Shareef, M. Khajehzadeh, Optimal design of damping controllers using a new hybrid artificial bee colony algorithm, International Journal of Electrical Power & Energy Systems, 52 (2013) 42-54.
[13] X.-S. Yang, Firefly Algorithms for Multimodal Optimization, in: O. Watanabe, T. Zeugmann (Eds.) Stochastic Algorithms: Foundations and Applications, Springer Berlin Heidelberg, 2009, pp. 169-178.
[14] L. A. Wong, H. Shareef, A. Mohamed, A. A. Ibrahim, Novel quantum-inspired firefly algorithm for optimal power quality monitor placement, Frontiers in Energy, 8 (2014) 254-260.
[15] L. A. Wong, H. Shareef, A. Mohamed, A. A. Ibrahim, Optimum Placement and Sizing of Battery Storage Systems to Voltage Rise Mitigation in Radial Distribution with Pv Generators, Australian Journal of Basic & Applied Sciences, 8 (2014) 41-43.
[16] M. Z. Daud, A. Mohamed, M. A. Hannan, An improved control method of battery energy storage system for hourly dispatch of photovoltaic power sources, Energy Conversion and Management, 73 (2013) 256-270.
[17] X. S. Yang, Nature-Inspired Metaheuristic Algorithms, Luniver Press, (2008)
[18] L. A. Wong, H. Shareef, A. Mohamed, and A. A. Ibrahim, "Optimal Battery Sizing in Photovoltaic Based Distributed Generation Using Enhanced Opposition-Based Firefly Algorithm for Voltage Rise Mitigation," The Scientific World Journal, vol. 2014, p. 11, 2014, Art. no. 752096.
[19] M. Moore and A. Narayanan, "Quantum-inspired computing," Dept. Comput. Sci., Univ. Exeter, Exeter, UK, 1995.
[20] K.-H. Han and J.-H. Kim, "Quantum-inspired evolutionary algorithm for a class of combinatorial optimization," IEEE transactions on evolutionary computation, vol. 6, no. 6, pp. 580-593, 2002.
[21] Y. Tian, W. Gao, and S. Yan, "An Improved Inertia Weight Firefly Optimization Algorithm and Application," in 2012 International Conference on Control Engineering and Communication Technology, 2012, pp. 64-68.
[22] N. Rugthaicharoencheep, S. Sirisumrannukul, Feeder reconfiguration with dispatchable distributed generators in distribution system by tabu search, in: Universities Power Engineering Conference (UPEC), 2009 Proceedings of the 44th International, IEEE, 2009, pp. 1-5.
[23] T. Jen-Hao, A Network-Topology-based Three-Phase Load Flow for Distribution Systems, in: Proc. Natl. Sci. Counc. ROC(A), 2000, pp. 259-264.
[24] T. Jen-Hao, C. Chuo-Yean, Backward/Forward Sweep-Based Harmonic Analysis Method for Distribution Systems, Power Delivery, IEEE Transactions on, 22 (2007) 1665-1672.