• 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 ›› 2020, Vol. 41 ›› Issue (12): 152-160.doi: 10.12204/j.issn.1000-7229.2020.12.015

• Multi-energy Forecasting and Market Transaction • Previous Articles    

Bidding Strategy and Profit Distribution of Power Generation Company with Clean Energy in Spot Market Based on Cooperative Game Theory

LU Chengyu1,2, JIANG Ting3, DENG Hui1,2, FANG Le1,2, WANG Xu3, JIANG Chuanwen3   

  1. 1. State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China
    2. State Grid Zhejiang Electricity Market Simulation Laboratory, Hangzhou 310014, China
    3. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai 200240, China
  • Received:2020-07-29 Online:2020-12-01 Published:2020-12-04
  • Contact: WANG Xu

Abstract:

With the maturity of clean energy power generation technology and the decrease of its construction cost, power generation companies with clean energy gradually change from subsidy target to strategic market subject when they participate in the electricity market. On the one hand, thermal power units have good regulation capacity, but during the period of low expected energy prices, the high production costs may lead to the lack of competitiveness when they participate in the spot market bidding alone. On the other hand, generation companies have risk of loss due to bidding deviation caused by the uncertainties of clean energy output and spot market prices when participating in the power market competition, and thus the profit slumps. The joint bidding strategy of wind and thermal units can promote the complementary advantages and win-win development of the two. Firstly, in order to maximize the profit of clean energy generation companies participating in spot market bidding, a two-stage bidding model of a power generation company with clean energy is established, which is composed of wind power units and thermal power units, considering bidding deviation punishment. Conditional value at risk theory is used to evaluate the risk of deviation between clean energy and electricity prices, and the optimal bidding strategy is obtained. According to the nucleolus solution of cooperative game theory, the income distribution method between thermal power units and clean energy units is given. The simulation results show that the proposed method can effectively improve the profits of power generation companies with clean energy, reduce the impact of bidding deviation penalty on the profits of power generation companies with clean energy, and enhance the initiative of power generation companies with clean energy to participate in the spot market.

Key words: power generation company with clean energy, conditional value at risk, cooperative game, spot market

CLC Number: