[Poster Presentation]Mid/long-term Power System Operation Model Considering Inter-regional Power Trade

Mid/long-term Power System Operation Model Considering Inter-regional Power Trade
ID:84 Submission ID:239 View Protection:ATTENDEE Updated Time:2021-12-03 10:36:25 Hits:472 Poster Presentation

Start Time:2021-12-17 15:45 (Asia/Shanghai)

Duration:5min

Session:[Z] Poster Session » [Z7] Poster Session 7: Renewable energy system

Video No Permission Presentation File

Tips: The file permissions under this presentation are only for participants. You have not logged in yet and cannot view it temporarily.

Abstract
Inter-regional power trade, regarded as an important means to cope with the intermittency and uncertainty of renewable energy, facilitates the optimal allocation of interconnected grid resources and the consumption of renewable energy. In this paper, a mid/long-term power system operation model considering inter-regional power trade is proposed. The model takes maintenance constraints, unit operation constraints, inter-regional power trade constraints and system operation constraints into account, so as to realize mid/long-term multi-energy generation cooperation and improve the consumption level of renewable energy. In addition, Gurobi is used to slove the computation program efficiently. The case studies based on the modified IEEE-RTS1979 verify the validity and feasibility of the proposed model. The results show that inter-regional power trade can make full use of inter-regional power resources and load complementarity to promote the consumption of renewable energy.
Keywords
Inter-regional power trade, load block curve, mid/long-term operation, coordinated optimization
Speaker
Zhiren Zhang
Xi'an Jiaotong University

Submission Author
Xiaowei Ma Northwest Branch of State Grid Corporation of China
Zhiren Zhang Xi'an Jiaotong University
Hewen Bai Xi'an Jiaotong University
Xiaoning Kang Xi'an Jiaotong University
Comment submit
Verification code Change another
All comments
Contact Us:
Southwest Jiaotong University(SWJTU)
Add: No.999, Xi'an Road, Pidu District, Chengdu City, Sichuan Province,611756 China
Email: ciycee2021@163.com

 

WeChat public account:

IEEE IAS SWJTU学生分会

WeChatgroup: 

CIYCEE2021 

CIYCEE官方微信群:CIYCEE2021