LI Guoqing, ZHUANG Guanqun, TIAN Chunguang, et al. Multi-objective optimization control of wind power consumption based on regenerative electric boiler system integrated with large-scale energy storage[J]. 2018, 38(10): 46-52+59.
LI Guoqing, ZHUANG Guanqun, TIAN Chunguang, et al. Multi-objective optimization control of wind power consumption based on regenerative electric boiler system integrated with large-scale energy storage[J]. 2018, 38(10): 46-52+59. DOI: 10.16081/j.issn.1006-6047.2018.10.008.
There are problems that the contradiction between source supply and load demand is prominent and the flexibility of power grid is poor in "three-north area"of China. And the wind power curtailment of wind farms is serious
one of the important causes is that the thermoelectric units operate in the mode of "determining power generation by heat"in winter
resulting in the reduction of their peak load regulation capacity. Applying regenerative electric boilers for heating and transferring the electric energy into heat energy can improve the local accommodation ability of wind power. However
the power regulation of electrode heating-based regenerative electric boiler is limited by its mecha-nical components and the frequent adjustment of electrode will seriously affect the service life of regenerative electric boilers. A multi-objective optimization control method of wind power consumption based on regenerative electric boi-ler system integrated with large-scale energy storage is proposed with the maximum wind power consumption and the minimum regulating times of electrode as its objectives
by introducing the electrochemical energy storage with fast and flexible power adjustment ability into the regenerative electric boiler system to consume wind power. Simulative results show that the proposed method can take both the wind power consumption of regenerative electric boiler system and the regulating times of electrode into account
solving the mismatching problem between the power regulation capacity of regenerative electric boiler and the variation of wind power effectively.