Incentive Policy Research on the Excess Profit Allocation in Wind Power Projects Based on DEA Game
Publication: Journal of Energy Engineering
Volume 142, Issue 1
Abstract
The output of wind power is variable and random, which makes it different from conventional energy resources in practical utilization. Up to now, large-scale wind power integration has not been achieved because of some technical and political reasons. The bundled transmission model is highly recommended by many scholars. Fiscal policies on wind power industry are defective in China. Reasonable and scientific stimulation mechanisms are needed for the parties involved. On the basis of the data envelopment analysis (DEA) game theory, this paper formulates a model on excess profit allocation, and an example is set up to analyze the feasibility. This model establishes the theoretical basis for solving the excess profit allocation problem, which has significant implication for China’s energy policy initiatives.
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Acknowledgments
The authors gratefully acknowledge the financial support from the National Natural Science Fund of China (No. 71471061)
References
Bai, J. H., Xing, S. X., Jia, D. X., and Chen, L. (2010). “Study of major questions of wind power digestion and transmission in China.” Power System and Clean Energy, 1.
Binato, S., Pereira, M., and Granville, S. (2001). “A new benders decomposition approach to solve power transmission network design problems.” IEEE Trans. Power Syst., 16(2), 235–240.
Gallego, R., Monticelli, A., and Romero, R. (1998). “Transmission system expansion planning by an extended genetic algorithm.” IEEE Proc. Gener. Transm. Distrib., 145(3), 329–335.
Garver, L. (1970). “Transmission network estimation using linear programming.” IEEE Trans. Power Apparatus Syst., PAS-89(7), 1688–1697.
Golany, B., Phillips, F. Y., and Rousseau, J. J. (1993). “Models for improved effectiveness based on DEA efficiency results.” IEEE Trans., 25(6), 2–10.
Kost, C., Pfluger, B., Eichhammer, W., and Ragwitz, M. (2011). “Fruitful symbiosis: Why an export bundled with wind energy is the most feasible option for North African concentrated solar power.” Energy Policy, 39(11), 7136–7145.
Li, Y. J., and Liang, L. (2008). “Method of allocating the fixed cost based on data envelopment analysis and cooperative game.” Syst. Eng. Theory Pract., 11, 012.
Liu, Y., and Kokko, A. (2010). “Wind power in China: Policy and development challenges.” Energy Policy, 38(10), 5520–5529.
MATLAB [Computer software]. Natick, MA, MathWorks.
Munoz, C., Sauma, E., Contreras, J., Aguado, J., and De la Torre, S. (2012). “Impact of high wind power penetration on transmission network expansion planning.” IET Gener. Transm. Distrib., 6(12), 1281–1291.
Munoz, F., Sauma, E., and Hobbs, B. (2013). “Approximations in power transmission planning: Implications for the cost and performance of renewable portfolio standards.” J. Regul. Econ., 43(3), 305–338.
Nakabayashi, K., and Tone, K. (2006). “Egoist’s dilemma: A DEA game.” Omega, 34(2), 135–148.
Pozo, D., Contreras, J., and Sauma, E. (2013a). “If you build it, he will come: Anticipative power transmission planning.” Energy Econ., 36, 135–146.
Pozo, D., Sauma, E., and Contreras, J. (2013b). “A three-level static MILP model for generation and transmission expansion planning.” IEEE Trans. Power Syst., 28(1), 202–210.
Sarkis, J., and Weinrach, J. (2001). “Using data envelopment analysis to evaluate environmentally conscious waste treatment technology.” J. Cleaner Prod., 9(5), 417–427.
Sauma, E. (2009). “Inter-temporal planning of transmission expansions in restructured electricity markets.” J. Energy Eng., 73–82.
Sauma, E., and Oren, S. (2006). “Proactive planning and valuation of transmission investments in restructured electricity markets.” J. Regul. Econ., 30(3), 261–290.
Sauma, E., and Oren, S. (2007). “Economic criteria for planning transmission investment in restructured electricity markets.” IEEE Trans. Power Syst., 22(4), 1394–1405.
Tsukamoto, Y., and Iyoda, I. (1996). “ Allocation of fixed transmission cost to wheeling transactions by cooperative game theory.” IEEE Trans. Power Syst., 11(2), 620–629.
Wang, L., Wang, K. H., Lee, W. J., and Chen, Z. (2010). “Power-flow control and stability enhancement of four parallel-operated offshore wind farms using a line-commutated HVDC link.” IEEE Trans. Power Delivery, 25(2), 1190–1202.
Zhang, Y., Bai, J., and Xin, S. (2010). “China’s wind power development and research on major issues related to consumer satisfaction.” Energy Technol. Econ., 1, 1–6.
Information & Authors
Information
Published In
Journal of Energy Engineering
Volume 142 • Issue 1 • March 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Oct 14, 2014
Accepted: Apr 7, 2015
Published online: Jun 2, 2015
Discussion open until: Nov 2, 2015
Published in print: Mar 1, 2016
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