Stochastic Sizing of Energy Storage Systems for Wind Integration

Author:

Le D. D.,Nguyen N. T. A.

Abstract

In this paper, we present an optimal capacity decision model for energy storage systems (ESSs) in combined operation with wind energy in power systems. We use a two-stage stochastic programming approach to take into account both wind and load uncertainties. The planning problem is formulated as an AC optimal power flow (OPF) model with the objective of minimizing ESS installation cost and system operation cost. Stochastic wind and load inputs for the model are generated from historical data using clustering technique. The model is tested on the IEEE 39-bus system.

Publisher

Engineering, Technology & Applied Science Research

Reference26 articles.

1. P. Taylor, Energy Technology Perspectives 2010 -Scenarios and Strategies to 2050, International Energy Agency, Paris, France, 2010

2. H. T. Le, T. Q. Nguyen, “Sizing energy storage systems for wind power firming: An analytical approach and a cost-benefit analysis”, IEEE Power and Energy Society General Meeting – Conversionand Delivery of Electrical Energy in the 21st Century Pittsburgh, USA, July 20-24, 2008

3. Z. Y. Gao, P. Wang, L. Bertling, J. H. Wang, “Sizing of energy storage for power systems with wind farms based on reliability cost and wroth analysis”, IEEE Power and Energy Society General Meeting, San Diego, USA, July 24-29, 2011

4. Y. V. Makarov, P. Du, M. C. W. Kintner-Meyer, C. Jin, H. F. Illian, “Sizing Energy Storage to Accommodate High Penetrationof Variable Energy Resources”, IEEE Transaction on Sustainable Energy, Vol. 3, No. 1, pp. 34-40, 2012

5. L. Li; L. Yang, “A chance-constrained programming based energystorage system sizing model considering uncertainty of wind power”, International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012), Hangzhou, China, September 8-9, 2012

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