Robust Security Constrained-Optimal Power Flow Using Multiple Microgrids for Corrective Control of Power Systems Under Uncertainty

被引:46
作者
Zhang, Wang [1 ]
Xu, Yan [2 ]
Dong, ZhaoYang [1 ,3 ]
Wong, Kit Po [4 ]
机构
[1] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Nanyang Ave, Singapore 639798, Singapore
[3] China Southern Power Grid Res Inst, Guangzhou 510080, Guangdong, Peoples R China
[4] Univ Western Australia, Sch Elect Elect & Comp Engn, Crawley, WA 6009, Australia
关键词
Corrective control (CC); microgrids (MGs); robust optimization; security-constrained optimal power flow (SCOPF); LOAD; OPF; OPERATION; SCOPF;
D O I
10.1109/TII.2016.2644738
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a new robust security-constrained optimal power flow (SCOPF) method to balance the economy. and security requirements under uncertainties associated with renewable generation and load demand. Given the significant growth in microgrid (MG) deployments over the world, this paper explores the potential of using multiple MGs in supporting main grid's security control. Corrective control is employed to relieve postcontingency overflows by effectively coordinating system generators and multiple MGs. An incentive-based mechanism is designed to encourage the MGs to actively cooperate with the main grid for postcontingency recovery, which makes the proposed method to distinguish from the previous models using a traditional centralized control method, such as direct load control. A scenario-decomposition-based approach is then developed to solve the proposed robust SCOPF problem. Numerical simulations on IEEE 14- and IEEE 118-bus systems demonstrate the effectiveness and efficiency of the proposed method.
引用
收藏
页码:1704 / 1713
页数:10
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