Optimal Planning of Prospective Power Supply Structure Considering Demand Response and Dynamic Generation Cost

• Published in: 2022 IEEE 5th International Electrical and Energy Conference (CIEEC) pp. 1167 - 1171
• Main Authors: Zou, Yichao, Zhang, Linyao, Hu, Zhenda, Lin, Zhangsui, Liu, Lin, Lin, Weiwei, Huang, Xianan, Hong, Juhua
• Format: Conference Proceeding
• Language: English
• Published: IEEE 27-05-2022
• Subjects: Carbon dioxide; Costs; Demand response; generation cost; Power supplies; power supply structure; Power system dynamics; Production; Stochastic processes; Stochastic production simulation
• DOI: 10.1109/CIEEC54735.2022.9846386

With the wildly concerns on carbon emission around the world, it has become a broad consensus to vigorously develop new energy. The high portion of new energy means great challenge in power balance. In order to meet the dual requirements of low carbon emission and high power supply reliability, it is of great significance to fully mobilize flexible resources on the load side and reasonably plan the power supply structure. This paper proposes an optimal planning model of prospective power supply structure, in which the demand response and seasonal energy storage have been considered. And the generation cost of various power supplies is divided into three categories, in which the carbon emission cost has been considered. Stochastic production simulation and particle swarm optimization algorithm are adopted to look for the optimal power supply scheme. At last, a case study is conducted to verified the feasibility of the model.