Research Article
Research on Power Purchasing Strategy of Power Grid Enterprise Agent Considering the Responsibility of Renewable Energy Consumption
@INPROCEEDINGS{10.4108/eai.2-12-2022.2328771, author={Min Wang and Yingxue Li and Jiawei Gong and Xueting Zhang}, title={Research on Power Purchasing Strategy of Power Grid Enterprise Agent Considering the Responsibility of Renewable Energy Consumption}, proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China}, publisher={EAI}, proceedings_a={BDEIM}, year={2023}, month={6}, keywords={power purchasing agent; power purchase decisions; cvar method}, doi={10.4108/eai.2-12-2022.2328771} }- Min Wang
Yingxue Li
Jiawei Gong
Xueting Zhang
Year: 2023
Research on Power Purchasing Strategy of Power Grid Enterprise Agent Considering the Responsibility of Renewable Energy Consumption
BDEIM
EAI
DOI: 10.4108/eai.2-12-2022.2328771
Abstract
With the rise of the Power Grid Company’s power purchasing agency business and the continuous improvement of the renewable energy absorption mechanism, it is of great significance to study the optimal power purchase strategy with the consideration of the cost minimization and the risk reduction of renewable energy consumption. This paper synthetically considers the factors of electricity price fluctuation, uses CVaR method to quantify the risk in the process of electricity purchase, considers the distribution of electricity price under different excess consumption, and establishes the cost-risk model of electricity purchase, to seek the lowest cost, risk controllable power purchase strategy. The example shows that the higher the risk-bearing capacity of the agent, the larger the proportion of the agent in the spot market. And power grid companies can according to the trust of historical data and the future excess consumption of supply and demand, choose their own purchasing strategy.
