Full Coverage of Optimal Phasor Measurement Unit Placement Solutions in Distribution Systems Using Integer Linear Programming

Energies

WengKhuen Ho¹  Lu Sun¹  KingJet Tseng²  Tengpeng Chen³  GehanA. J. Amaratunga⁴  Yuhao Sun⁴  KeckVoon Ling⁵  Xuebing Chen⁵  Rusli⁵ 

[1] Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117576, Singapore;Department of Engineering, Singapore Institute of Technology, Singapore 138683, Singapore;Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China;National Centre for International Research on Photoelectric and Energy Materials, Yunnan University, Kunming 650091, China;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore;

关键词: distribution system optimization;    optimal PMU placement;    PMU;    integer linear programming;   

DOI  :  10.3390/en12081552

来源: DOAJ

【 摘 要 】

Integer linear programming (ILP) has been widely applied to solve the optimal phasor measurement unit (PMU) placement (OPP) problem for its computational efficiency. Using ILP, a placement with minimum number of Phasor Measurement Units (PMUs) and maximum measurement redundancy can be obtained while ensuring system observability. Author response: please delete this above sentence. However, the existing ILP-based OPP methods does not guarantee full coverage of solutions to the optimization problem, which may sequentially results in suboptimal supervision of the system. In this paper, a hybrid ILP-based method is proposed to cover all solutions to the OPP problem without any omission. Comparing with the existing exhaustive searching methods, the proposed method is more computationally efficient, which makes finding all solutions in a large system a more feasible problem.

【 授权许可】

Unknown