Impact of Trading Modes on PV Plant Investment Under Electricity Spot Market Environment

被引：0
|
作者：
Guo H. [1 ,2 ]
Gao R. [1 ,2 ]
Zhang J. [3 ]
Guo S. [3 ]
Yang L. [3 ]
Zhang Z. [4 ]
机构：
[1] School of Electric Power, South China University of Technology, Guangzhou, 510640, Guangdong Province
[2] Guangdong Key Laboratory of Clean Energy Technology, South China University of Technology, Guangzhou, 510640, Guangdong Province
[3] Qinghai Province Key Laboratory of Grid-connected Photovoltaic (PV) Technology, State Grid Qinghai Electric Power Company, Xining, 810008, Qinghai Province
[4] Shenzhen Hupzon Energy Technology Co., Ltd., Shenzhen, 518110, Guangdong Province
来源：
Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Income model; Investment evaluation indicator; Trading modes;
D O I：
10.13335/j.1000-3673.pst.2018.2323
中图分类号：
学科分类号：
摘要：
Under spot electricity market, volatility of real-time price makes the decision-making of photovoltaic (PV) plant investment more complicated. This paper uses investment evaluation indicators and sensitivity analysis to study investment returns based on three trading modes of PV plants. Firstly, the paper analyzes the characteristics of the three trading modes and corresponding income modes. Then, the investment return indicators, including dynamic investment payback period, internal return rate and benefit-to-cost ratio are used to analyze the investment return, and sensitivity analysis is performed to study the dependence of PV plants on other sources of revenue under different trading modes. Lastly, three PV plants in different resource areas are chosen for case study, showing that signing medium-and long-term contract for difference can shorten investment return period and effectively reduce sensitivity to government subsidy, construction cost and price fluctuation, thus reducing dependence on other incomes in power pool, resisting risk of price fluctuations and ensuring investment economy. © 2019, Power System Technology Press. All right reserved.
引用
收藏
页码：2674 / 2681
页数：7
相关论文
共 21 条
  • [1] Xiao Y., Wang X., Wang X., Et al., Review on electricity market towards high proportion of renewable energy, Proceedings of the CSEE, 38, 3, pp. 663-674, (2018)
  • [2] Kang C., Du E., Zhang N., Et al., Renewable energy trading in electricity market: review and prospect, Southern Power System Technology, 10, 3, (2016)
  • [3] Luo X., Zhang L., Li C., Study on the power market mode of renewable energy, Electric Power, 39, 9, pp. 32-36, (2006)
  • [4] Liu H., Liu L., Zeng M., Business investment risk analysis and guarantee mechanism of distributed generation investment, Electric Power Construction, 35, 7, pp. 46-50, (2014)
  • [5] You P., Pricing mechanism and economic analysis of wind-pv-es hybrid project, Electric Power, 47, 10, pp. 148-151, (2014)
  • [6] Wang K., Zhang B., Economy comparison of distant ground photovoltaic stations and distributed photovoltaic stations, Automation of Electric Power Systems, 41, 16, pp. 179-186, (2017)
  • [7] Zeng M., Zhao J., Liu H., Et al., Investment benefit analysis based on interval number for distributed generation, Electric Power Automation Equipment, 32, 8, (2012)
  • [8] Hu H., Xu C., Wu S., Et al., Analysis of factors influencing economy of customer-side distributed generation, Electric Power Automation Equipment, 5, pp. 29-33, (2008)
  • [9] Ding L., Xu Y., Liu Y., Et al., Investment decision-making based on multi-stage compound real options for wind power generation, Electric Power Automation Equipment, 32, 12, (2012)
  • [10] Muneer W., Bhattacharya K., Canizares C.A., Large-scale solar PV investment models, tools, and analysis: the Ontario case, IEEE Transactions on Power Systems, 26, 4, pp. 2547-2555, (2011)
123