Volume 8 Number 4 (Apr. 2013)
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JSW 2013 Vol.8(4): 802-808 ISSN: 1796-217X
doi: 10.4304/jsw.8.4.802-808

Research on Effect of Renewable Energy Power Generation on Available Transfer Capability

Yongfu Liu1, Jun Wang2, 4, Limei Zhang1, Dehao Zou3
1College of Information Science and Technology, Agricultural University of Hebei, Baoding 071001, China
2School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
3Dalian New City Power Construction Group Co, Ltd, Pulandian 116200, China
4College of Information and Electric Engineering, Shenyang Agricultural University, Shenyang 110866, China

Abstract—Renewable energy power generation could increase the uncertainties of power system with intermittent and stochastic performance, which has significant effect on Available Transfer Capability (ATC). With the rapid development of renewable energy power generation technology as well as the gradual maturity of power market, it has become essential to research the effect specially. The wind generator was simulated by applying the PX model based on the induction generator principle, and the solar power generator was regarded as PQ node. According to the above, the Optimal Power Flow (OPF) model to calculate the ATC was established, which could reflect the characteristics of wind and solar power.The intermittent and stochastic output and load wave, state uncertainty of the system equipment were simulated by applying Monte Carlo simulation. The Differential Evolution algorithm was improved to solve the OPF on ATC. Simulation could be made by improved IEEE118 system involving wind and solar power, the results show that with the algorithm the ATC can be calculated rapidly and accurately, in addition, the influence on ATC can be estimate effectively.

Index Terms—Available transfer capability, renewable energy power generation, Monte Carlo simulation, differential evolution algorithm.

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Cite: Yongfu Liu, Jun Wang, Limei Zhang, Dehao Zou, "Research on Effect of Renewable Energy Power Generation on Available Transfer Capability," Journal of Software vol. 8, no. 4, pp. 802-808, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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