• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2022, Vol. 43 ›› Issue (5): 1-8.doi: 10.12204/j.issn.1000-7229.2022.05.001

• Energy and Power Technology, Economy and Policies Towards Carbon Peaking and Carbon Neutrality·Hosted by Associate Professor ZHAO Junhua, Dr. QIU Jing and Professor WEN Fushuan· •     Next Articles

Simulation Analysis of the Impact of Electricity Futures on Electricity Spot Market under the Background of Carbon Neutrality

LENG Yuan1, GU Weide1, HE Binghao2, LIU Wenxuan2, ZHAO Junhua2   

  1. 1. China Southern Power Grid Energy Development Research Institute, Guangzhou 510530, China
    2. School of Science and Engineering, Chinese University of Hong Kong (Shenzhen),Shenzhen 518172, Guangdong Province, China
  • Received:2021-09-27 Online:2022-05-01 Published:2022-04-29
  • Supported by:
    National Natural Science Foundation of China(72171206)

Abstract:

With the further development of China’s electricity market’s reform, the marketization brings price risk to the market participants. Moreover, under China’s Carbon Neutrality strategy, the electricity market participants will face not only the traditional risk, but also the carbon risk. As an important tool for risk management, electricity futures are widely used in many mature electricity markets and have attracted attention from the market participants in China. To quantitatively analyze the impact of introducing electricity futures on the spot market, this paper proposes a bi-level electricity simulation model. The first level models the transaction behavior of electricity futures, and the second level models the optimal bidding strategy of generation companies under the market with power futures. Numerical experiments simulate a six-unit power market environment with two different contract signing methods. The simulation results show that the introduction of electricity futures can help the spot market to balance the price in both peak and valley period, thus helping the electricity market in both scenarios.

Key words: electricity market, electricity futures, optimal bidding strategy, low-carbon transition, market simulation

CLC Number: