Details of Research Outputs

TitleRenewable energy certificates and electricity trading models: Bi-level game approach
Author (Name in English or Pinyin)
Tao, Y.1; Qiu, J.1; Lai, S.1; Zhao, J.2,3
Date Issued2021-09-01
Source PublicationInternational Journal of Electrical Power and Energy Systems
Education discipline科技类
Published range国外学术期刊
Volume Issue Pages卷: 130
[1] M. Shao and W. T. Jewell, “CO 2 emission-incorporated ac optimal power flow and its primary impacts on power system dispatch and operations,” in Proc. IEEE PES General Meeting, pp. 1-8.
[2] Zhang, N., Hu, Z., Dai, D., Dang, S., Yao, M., Zhou, Y., Unit commitment model in smart grid environment considering carbon emissions trading. IEEE Trans Smart Grid 7:1 (2015), 420–427.
[3] Shabanpour-Haghighi, A., Seifi, A.R., Multi-objective operation management of a multi-carrier energy system. Energy 88 (2015), 430–442.
[4] Xenophon, A.K., Hill, D.J., Emissions reduction and wholesale electricity price targeting using an output-based mechanism. Appl Energy 242 (2019), 1050–1063.
[5] Lu, Z., Lu, C., Feng, T., Zhao, H., Carbon dioxide capture and storage planning considering emission trading system for a generation corporation under the emission reduction policy in China. IET Gener Transm Distrib 9:1 (2014), 43–52.
[6] Zhou, X., James, G., Liebman, A., Dong, Z.Y., Ziser, C., Partial carbon permits allocation of potential emission trading scheme in Australian electricity market. IEEE Trans Power Syst 25:1 (2009), 543–553.
[7] Huang, J., Xue, Y., Jiang, C., Wen, F., Xue, F., Meng, K., et al. An experimental study on emission trading behaviors of generation companies. IEEE Trans Power Syst 30:2 (2014), 1076–1083.
[8] Li, X.R., Yu, C.W., Xu, Z., Luo, F.J., Dong, Z.Y., Wong, K.P., A multimarket decision-making framework for GENCO considering emission trading scheme. IEEE Trans Power Syst 28:4 (2013), 4099–4108.
[9] Lu, S., Wu, Y., Lou, S., Yin, X., A model for optimizing spinning reserve requirement of power system under low-carbon economy. IEEE Trans Sustainable Energy 5:4 (2014), 1048–1055.
[10] J. Wang, V. Koritarov, and J.-H. Kim, “An agent-based approach to modeling interactions between emission market and electricity market,” in Proc. IEEE Power & Energy Society General Meeting pp. 1-8.
[11] Olsen, D.J., Dvorkin, Y., Fernandez-Blanco, R., Ortega-Vazquez, M.A., Optimal carbon taxes for emissions targets in the electricity sector. IEEE Trans Power Syst 33:6 (2018), 5892–5901.
[12] Yang, D., He, S., Chen, Q., Li, D., Pandžić, H., Bidding strategy of a virtual power plant considering carbon-electricity trading. CSEE J Power Energy Syst 5:3 (2019), 306–314.
[13] Cheng, Y., Zhang, N., Lu, Z., Kang, C., Planning multiple energy systems toward low-carbon society: A decentralized approach. IEEE Trans Smart Grid 10:5 (2018), 4859–4869.
[14] Y. Cheng, N. Zhang, and C. Kang, “Bi-Level Expansion Planning of Multiple Energy Systems under Carbon Emission Constraints,” in Proc. 2018 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5.
[15] Cheng, Y., Zhang, N., Zhang, B., Kang, C., Xi, W., Feng, M., Low-Carbon Operation of Multiple Energy Systems Based on Energy-Carbon Integrated Prices. IEEE Trans Smart Grid, 2019.
[16] Kasmaei, M.P., Lehtonen, M., Sanz, J.C., Mantovani, J.R.S., Carbon footprint management: a pathway toward smart emission abatement. IEEE Trans Ind Inf, 2019.
[17] Wang, Y., Qiu, J., Tao, Y., Zhao, J., Carbon-oriented operational planning in coupled electricity and emission trading markets. IEEE Trans Power Syst, 2020.
[18] Aparicio, N., MacGill, I., Abbad, J.R., Beltran, H., Comparison of wind energy support policy and electricity market design in Europe, the United States, and Australia. IEEE Trans Sustain Energy 3:4 (2012), 809–818.
[19] Wong, P.K.C., Kalam, A., Barr, R., Modelling and analysis of practical options to improve the hosting capacity of low voltage networks for embedded photo-voltaic generation. IET Renew Power Gener 11:5 (2017), 625–632.
[20] R. Nicoloiu, I. Ionel, and I. Voda, “The evolution of green certificate support scheme for promoting renewable energy in Romania,” in Proc. 2017 International Conference on ENERGY and ENVIRONMENT (CIEM), pp. 359-362.
[21] Zhang, Q., Wang, G., Li, Y., Li, H., McLellan, B., Chen, S., Substitution effect of renewable portfolio standards and renewable energy certificate trading for feed-in tariff. Appl Energy 227 (2018), 426–435.
[22] Hustveit, M., Frogner, J.S., Fleten, S.-E., Tradable green certificates for renewable support: The role of expectations and uncertainty. Energy 141 (2017), 1717–1727.
[23] Li, X., Wang, W., Wang, H., Wu, J., Fan, X., Xu, Q., Dynamic environmental economic dispatch of hybrid renewable energy systems based on tradable green certificates. Energy, 193, 2020, 116699.
[24] Nielson, L., The European Emissions Trading System: Lessons for Australia: Department of Parliamentary Services. 2008, Parliamentary Library.
[25] Fudenberg, D., Tirole, J., Game theory. 1991, MIT press.
[26] Osborne, M.J., Rubinstein, A., A course in game theory. 1994, MIT press.
[27] N. G. Mankiw, Principles of economics: Cengage Learning, 2020.
[28] Sun, W., Zamani, M., Hesamzadeh, M.R., Zhang, H.-T., Data-driven probabilistic optimal power flow with nonparametric Bayesian modeling and inference. IEEE Trans Smart Grid, 2019.
[29] Sinha, A., Malo, P., Deb, K., A review on bilevel optimization: from classical to evolutionary approaches and applications. IEEE Trans Evol Comput 22:2 (2017), 276–295.
[30] Rosen, J.B., Existence and uniqueness of equilibrium points for concave n-person games. Econometrica J Econometric Soc, 1965, 520–534.
[31] Liang, Y., Wei, W., Wang, C., A generalized Nash equilibrium approach for autonomous energy management of residential energy hubs. IEEE Trans Ind Inf 15:11 (2019), 5892–5905.
[32] AEMO. (2019). National Electricity Market: Data-dashboard. [Online]. Available:
[33] AEMO, 2019. Wholesale Gas Market: Data-dashboard. [Online]. Available:
[34] CommTrade, 2019. Carbon Price. [Online]. Available:
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionSchool of Science and Engineering
Corresponding AuthorQiu, J.
1.Australia School of Electrical and Information Engineering, The University of Sydney, Sydney, NSW 2006, Australia
2.School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Longgang, Shenzhen, 518172, China
3.Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), China
Recommended Citation
GB/T 7714
Tao, Y.,Qiu, J.,Lai, al. Renewable energy certificates and electricity trading models: Bi-level game approach[J]. International Journal of Electrical Power and Energy Systems,2021.
APA Tao, Y., Qiu, J., Lai, S., & Zhao, J. (2021). Renewable energy certificates and electricity trading models: Bi-level game approach. International Journal of Electrical Power and Energy Systems.
MLA Tao, Y.,et al."Renewable energy certificates and electricity trading models: Bi-level game approach".International Journal of Electrical Power and Energy Systems (2021).
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Tao, Y.]'s Articles
[Qiu, J.]'s Articles
[Lai, S.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Tao, Y.]'s Articles
[Qiu, J.]'s Articles
[Lai, S.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Tao, Y.]'s Articles
[Qiu, J.]'s Articles
[Lai, S.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.