Power Reserve Classification and Control for Peaking Balance with Intermittent Generation Grid

Abstract:

The problem of intermittent generation peaking is highly concerned by the grid operator. To build control model for solving unbalance of peaking is great necessary. In this paper, we propose reserve classification control model which contain constant reserve control model with real-time reserve control model to guide the peaking balance of the grid with intermittent generation. The proposed model associate time-period constant reserve control model with real-time reserve control model to calculate, and use the peaking margin as intermediate variable. Therefore, the model solutions which are the capacity of reserve classification are obtained. The grid operators use the solution to achieve the peaking balance control. The proposed model was examined by real grid operation case, and the results of the case demonstrate the validity of the proposed model.

• Periodical: Applied Mechanics and Materials (Volume 521)
• Pages: 252-255
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.521.252
• Online since: February 2014
• Authors: Jian Yuan Xu, Jia Jue Li*, Jie Jun Zhang, Yu Zhu
• Keywords: Association Control, Intermittent Generation, Peaking Balance, Reserve Classification

References

[1] Hamon C, Soder L. Review paper on wind power impact on operation of reserves / Energy Market (EEM) International Conference on the European. Zagreb, Croatia, 2011: 895-903.

DOI: 10.1109/eem.2011.5953136

[2] Gezer D, Nadar A. Determination of operating reserve requirements considering geographical distribution of wind power plants / International Conference on Clean Electrical Power (ICCEP). Ischia, Italy, 2011: 797-801.

DOI: 10.1109/iccep.2011.6036395

[3] Bludszuweit H, Dominguez-Navarro J A, Llombart A. Statistical analysis of wind power forecast error. IEEE Trans on Power Systems, 2008, 23(3): 983-991.

DOI: 10.1109/tpwrs.2008.922526

[4] Keko H, Rosa M A, Sumaili J. Wind power forecast uncertainty in daily operation of wind park combined with storage / Energy Market International Conference on the European, Croatia, (2011).

DOI: 10.1109/eem.2011.5953114

[5] Banakar H, Luo C, Ooi B T. Impacts of wind power minute-to-minute variations on power system operation. IEEE Trans on Power Systems, 2008, 23(1): 150-160.

DOI: 10.1109/tpwrs.2007.913298

[6] Billinton R, Karki B. Unit commitment risk analysis of wind integrated power systems. IEEE Trans on Power Systems, 2009, 24(2): 930-939.

DOI: 10.1109/tpwrs.2009.2016485

[7] Black M, Strbae G. Value of bulk energy storage for managing wind Power fluctuations. IEEE Trans on Energy Conversion, 2007, 22(1): 197-205.

DOI: 10.1109/tec.2006.889619