Power Generation Technology ›› 2022, Vol. 43 ›› Issue (1): 10-18.DOI: 10.12096/j.2096-4528.pgt.21101

• Smart Grid • Previous Articles     Next Articles

Research on Optimal Allocation of Multi-Energy Complementary Project of Wind-Solar-Thermal Integration

Baozhong ZHOU1, Dunnan LIU2, Jiguang ZHANG1, Yi LI1, Erfeng XU2,3, Sheng BI1   

  1. 1.Huadian Electric Power Research Institute Co. , Ltd. , Hangzhou 310030, Zhejiang Province, China
    2.School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, China
    3.Zhejiang Zheneng Energy Service Co. , Ltd. , Hangzhou 310002, Zhejiang Province, China
  • Received:2021-08-06 Published:2022-02-28 Online:2022-03-18
  • Supported by:
    National Social Science Foundation of China(19ZDA081);Science and Technology Project of China Huadian Corporation Ltd(CHDKJ19-01-40)

Abstract:

Multi-energy complementary project of wind-solar-thermal integration can play a coordinating and mutually beneficial role among different generations, and is one of the implementation paths for safe and efficient use of renewable energy, and achieving carbon neutrality and carbon peak. How to reasonably match the installed capacity of thermal power, wind power, photovoltaic power and the transmission capacity, to ensure the full consumption and efficient utilization of wind power and photovoltaic power, is the core issue of the multi-energy complementary project of wind-solar-thermal integration. Based on the analysis of the output characteristics and multi-energy complementary characteristics of different generations, an optimal allocation model of multi-energy complementary project of wind-solar-thermal integration was constructed with the objective of minimizing the total cost and maximizing the matching degree between the sending curve and the receiving load curve. The installed capacity of wind power, photovoltaic power and the transmission capacity were optimized at the planning level, and the thermal power operation mode, output curve and transmission curve were optimized at the operation level. According to the case analysis, the optimal allocation model can optimize and determine the installed capacity of wind power, photovoltaic power and the transmission capacity, so that different generations can coordinate with each other on monthly and daily time scales. The transmission curve is more friendly to the receiving-end grid, and the horizontal multi-energy complementary and longitudinal generation-load coordination are realized.

Key words: new energy, carbon neutrality, carbon peak, wind-solar-thermal integration, multi-energy complementary, optimal allocation, mixed integer programming

CLC Number: