Hunan Electric Power ›› 2023, Vol. 43 ›› Issue (4): 16-23.doi: 10.3969/j.issn.1008-0198.2023.04.003

• Researches and Tests • Previous Articles     Next Articles

Ahead Optimal Dispatch of Multi Energy Power System Considering Power Flexibility and Complementarity

XIAO Bai, ZHANG Bo   

  1. School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China
  • Received:2023-06-06 Revised:2023-07-03 Online:2023-08-25 Published:2023-09-07

Abstract: A multi energy power system day ahead optimization scheduling method considering power flexibility and complementarity is proposed to address the volatility and intermittency of wind and photovoltaic power generation, as well as the coordinated and optimized operation of multi energy power systems. Firstly, a supply and demand model for power flexibility and complementarity is established. Then, a multi-objective coordinated hierarchical optimization scheduling model for wind power, solar power, hydroenergy, gas energy, and thermal power,energy storage storage is constructed with the optimization objectives of optimizing the economy and stability of thermal power operation, and minimizing the total pollutant emissions. Renewable energy complementary power sources and complementary power demand indicators are defined, and the aggregation ratio of renewable energy complementary power sources is determined to minimize the complementary power demand indicators. Finally, the artificial bee colony algorithm is improved by introducing dynamic probability and developing the optimal guidance strategy for the bee colony, and the improved artificial bee colony algorithm is used to solve the established optimization scheduling model. The numerical results show that the proposed model and algorithm are feasible for the multi energy complementary coordinated scheduling problem.

Key words: multi-energy power system, flexibility, multi-energy complementary, optimal scheduling, improved artificial bee colony algorithm

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