1. Department of Automation of Tsinghua University Beijing 100084 China; 2. Department of Electrical Engineering of Tsinghua Beijing 100084 China; 3. Institute of Electronic Engineering, Naval University of Engineering Wuhan 430033 China; 4. GuangXi Power Grid Company Nanning 530000 China
Abstract：This paper presents a determination methodology for energy storage system capacity used for autonomous microgrid. The two time parameters included in the configuration process are T1 defined as microgrid maximum permission off-grid operation time,T2 defined as expected operation time with failure of microgrid. Based on the variation of unbalanced energy—difference between generation and load, along with the time parameters, the method is presented in order that Energy Storage system can supply the maximum insufficient energy and absorb the surplus maximum energy The proposed method is simple and convenient to use without demanding much time domain simulation. The novel method has been applied to calculate the minimum sizing of Energy Storage system which used to improve the stability of microgrid. The illustrative example using the proposed method demonstrated the correctness and validity.
[1] Md. Habibur Rahman S Y. Novel distributed power generating system of PV-ECaSS using solar energy estimation[J]. IEEE Transactions on Energy Conversion, 2007. 22(2): 358-367. [2] 王成山, 等. 平滑可再生能源发电系统输出波动的储能系统容量优化方法[J]. 中国电机工程学报, 2012(16): 1-8. Wang Chengshan, et al. Sizing of energy storage systems for output smoothing of renewable energy systems[J]. Proceedings of the CSEE, 2012(16): 1-8. [3] Tomoki A, et al. Evaluation method of power rating and energy capacity of superconducting magnetic energy storage system for output smoothing control of wind farm[C]. Proceedings of the 2008 18th International Conference on Electrical Machines, 2008: 1-6. [4] Liang L. An optimal energy storage capacity calculation method for 100MW wind farm[C]. International Conference on Power System Technology (POWERCON), 2010. [5] 曾杰, 可再生能源发电与微网中储能系统的构建与控制研究[D]. 武汉: 华中科技大学, 2009. [6] Yang Hongxing, Z W L C. Optimal design and techno-economic analysis of a hybrid solar-wind power generation system[J]. Applied Energy, 2009, 86: 163-169. [7] Hongxing Yang, W Z. Optimal sizing method for stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm[J]. Solar Energy, 2008, 82: 354-367. [8] Asano H, Watanabe H, Bando S. Methodology to design the capacity of a microgrid[C]. Proceedings of the IEEE International Conference on System of Systems Engineering(SOSE), 2007. [9] Mizani S, Yazdani A. Optimal design and operation of a grid-connected microgrid[C]. Proceedings of the IEEE International Conference on Electrical Power and Energy Conference(EPEC), 2009. [10] Li Q, et al. On the determination of battery energy storage capacity and short-term power dispatch of a wind farm[J]. IEEE Transactions on Sustainable Energy, 2011, 2(2). [11] X W Y, M V D, C S S. Determination of battery storage capacity in energy buffer for wind farm[J]. IEEE Transactions on Energy Conversion, 2008, 23(3). [12] 张建华, 黄伟. 微电网运行控制与保护技术[M]. 北京: 中国电力出版社. 2010. [13] 张颖媛. 微网系统的运行优化与能量管理研究[D], 合肥: 合肥工业大学, 2011.
2013, Vol. 28 
