Open Access
Subscription or Fee Access
Heuristic Application on Energy Storage System Allocation in Wind Integrated Power System
Abstract
Increasing penetration of renewable energy significantly alters the network power flow in terms of direction as well as magnitude. The intermittent and uncertain nature of renewable inputs is a major concern since the power flow in the system is affected considerably. Hence to support bulk integration of renewable energy in the power system, bulk or distributed energy storage systems can be implemented. The energy storage system is utilized to absorb the excess power and meet the demand to avoid violation of system constraints. In this work, a multi-period ac optimal power flow (OPF) problem with energy storage systems (ESSs) is formulated and a set of candidate buses for ESS installation are identified based on economic criterion. A novel hybrid approach of conventional cum heuristic method, newton raphson based particle swarm optimization (NRPSO) method is proposed to optimize the allocation problem. Tests are carried out on IEEE 14-bus system and modified IEEE 14–bus system integrated with wind generation for variable load condition using MATLAB, to assess the optimal location of energy storages on system operation.
References
R.B. Schainker, “Executive overview: Energy storage options for a sustainable energy future,” Proc. IEEE Power Eng. Soc. Gen. Meeting, vol. 2, Jun. 2004, pp. 2309–2314.
H. Daneshi and A. Srivastava, “Impact of battery energy storage on power system with high wind penetration,” Proc. IEEE PES Transmiss. Distrib. Conf. Expo., May 2012, pp. 1–8.
Y. Atwa and E. El-Saadany, “Optimal allocation of ESS in distribution systems with a high penetration of wind energy,” IEEE Trans. Power Syst., vol. 25, no. 4, pp. 1815–1822, Nov. 2010.
Le Zheng, Wei Hu, Qiuyu Lu and Yong Min, “Optimal energy storage system allocation and operation for improving wind power penetration”, IET Generation, Transmission & Distribution, 2015, Vol. 9, Iss. 16, pp. 2672–2678.
Hai Lan et al., ”Electrical Energy Forecasting and Optimal Allocation of ESS in a Hybrid Wind-Diesel Power System”, MDPI Appl. Sci. 14 February 2017.
Peng Xiong and Chanan Singh, “Optimal Planning of Storage in Power Systems Integrated With Wind Power Generation”, IEEE Transactions On Sustainable Energy, Vol. 7, No. 1, January 2016.
N. Nguyen, D. Le, C. Bovo, and A. Berizzi, “Optimal power flow with energy storage systems: Single-period model versus multi-period model,” IEEE Trans. On Industry Applications, Vol. 52, No. 6, December 2016.
S. Bose, D. F. Gayme, U. Topcu, and K. M. Chandy, “Optimal placement of energy storage in the grid,” Proc. IEEE 51st Annu. Conf. Decision Control, 2012, pp. 5605–5612.
Ke Meng, Zhao Yang Dong, Yu Zheng, and Jing Qiu, “Optimal Allocation of ESS in Distribution Systems Considering Wind Power Uncertainties”, Power Transmission Equipment & System Security and New Technology, 9th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM, 2012), HongKong, China, 18–21 Nov 2012.
Ved Shukla, Cherry Lodha, “Optimal Allocation Of Energy Storage System In Distribution System”, International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278–0882 Volume 5, Issue 4, April 2016.
Belgin Emre Turkay, Rengin Idil Cabadag, “Optimal Power Flow Solution Using Particle Swarm Optimization Algorithm”, EuroCon 2013, Croatia, 1–4 July 2013.
DOI: https://doi.org/10.37591/.v12i2.6378
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 Journal of Power Electronics & Power Systems
eISSN: 2249–863X