• 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 (3): 12-21.doi: 10.12204/j.issn.1000-7229.2022.03.002

• Research and Application of Key Technologies for Distribution Network Planning and Operation Optimization under New Energy Power Systems ·Hosted by Professor WANG Shouxiang, Dr. ZHAO Qianyu· • Previous Articles     Next Articles

Multi-objective Optimization of Wind Power Accommodation withRegenerative Electric Heating Considering User Comfort

JIN Guofeng1, XING Jingshu1, ZHANG Lin1, ZHANG Xiulu1, ZHAO Lijun1, LIU Zifa2(), CONG Biao2   

  1. 1. State Grid East Inner Mongolia Economic Research Institute, Hohhot 010011, China
    2. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
  • Received:2021-09-14 Online:2022-03-01 Published:2022-03-24
  • Supported by:
    State Grid Mengdong Electric Power Technology Project(SGMDJY00GPJS2000061);National Natural Science Foundation of China(51977074)

Abstract:

With the introduction of the double-carbon target, vigorously developing new energy and reducing carbon emissions will be the main line of future energy development. Due to the rapid growth of new energy installed capacity, the grid accommodation situation is becoming increasingly severe. In order to accommodate the curtailed power of large-scale wind power to improve the peak-shaving capacity of the power grid, a multi-objective optimization model based on the NSGA-III algorithm and considering user comfort for regenerative electric heating to participate in wind power accommodation is proposed. This paper analyzes the working characteristics of regenerative electric heating and the operation mechanism of participating in wind power accommodation. It proposes the electricity and heat demand response that considers user comfort, and fully taps the potential of demand response to electricity and heat under the premise of satisfying user comfort. The maximum wind power accommodation, the minimum operating cost, and the lowest carbon emissions are the optimization objectives. Combined with the constraint conditions of power balance and electric heating, a multi-objective optimization model for regenerative electric heating to participate in wind power accommodation is established, and the NSGA-III algorithm is used to solve the model. Finally, a simulation based on the actual data of a certain power grid shows that the proposed method can improve the ability of wind power accommodation, reduce the operating cost of the equipment, and effectively reduce carbon emissions, and verifies the effectiveness of the proposed algorithm.

Key words: wind power accommodation, regenerative electric heating, user comfort, NSGA-III algorithm, multi-objective optimization

CLC Number: