Probabilistic Transmission Network Expansion Planning Considering Integration of Wind Power

Zhang, Heng; Zhang, Shenxi; Cheng, Haozhong; Wang, Zheng; Zhang, Jianping

doi:10.1109/isgt-asia.2019.8881768

Cited by 2 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the problem of wind abandonment has been alleviated to a certain extent, there will still be wind curtailment caused by transmission congestion. Similarly, if only the transmission network expansion planning has carried out (Correa et al, 2016;Gan et al, 2016;Zhang et al, 2019), although the transmission congestion problem is solved, the wind curtailment caused by the lack of system flexibility still exists. Moreover, the downward regulation capacity of the system can be increased through the configuration of energy storage or flexible transformation of thermal power units at the power supply side.…”

Section: Introductionmentioning

confidence: 99%

Storage-Transmission Joint Planning Method to Deal with Insufficient Flexibility and Transmission Congestion

et al. 2021

View full text Add to dashboard Cite

The insufficient power system flexibility and transmission congestion are two fundamental reasons for wind power curtailment. As the scale of the wind power in the power system is growing rapidly, the two factors of wind power curtailment events coexist and have a certain coupling relationship. The configuration of the energy storage system can not only increase the flexibility of the system but also alleviate transmission congestion. Therefore, the joint planning of energy storage and transmission grid that takes into account the flexibility of the system and the transmission congestion is of great significance to solve the wind curtailment. Hence, this paper first decouples the insufficient flexibility and transmission congestion wind power curtailment, and quantitatively analyzes the impact of transmission capacity on the coupling relationship between the two; second, reveals the principle of joint planning of energy storage system and transmission congestion, and constructs an optimization model, and proposes to set up the capacity of the wind power which connects the power network. The solution procedure, which deals with grid planning and the energy storage system optimization in turn, not only ensures the accuracy of the model, but also significantly reduces the calculation cost. Finally, a case study of a wind power base in Northeast China and an improved Garver-6 system are carried out to verify the effectiveness of the proposed method.

show abstract

Section: Introductionmentioning

confidence: 99%