A Mixed Uncertainty Power Flow Algorithm-Based Centralized Photovoltaic (PV) Cluster

Hao Wu, Lin Zhou, Yihao Wan, Qiang Liu and Siyu Zhou
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Hao Wu: School of Electrical Engineering, Chongqing University, Chongqing 400044, China
Lin Zhou: School of Electrical Engineering, Chongqing University, Chongqing 400044, China
Yihao Wan: School of Electrical Engineering, Chongqing University, Chongqing 400044, China
Qiang Liu: School of Electrical Engineering, Chongqing University, Chongqing 400044, China
Siyu Zhou: School of Electrical Engineering, Chongqing University, Chongqing 400044, China

Energies, 2019, vol. 12, issue 20, 1-16

Abstract: With the large-scale centralized PV clusters connected to grid, the grid power flow has certain randomness. Considering the fluctuation of PV output, an improved Krawczyk-Moore algorithm in a mixed coordinate system is proposed to solve the uncertain power flow problem. Firstly, aiming at the special structure of a centralized PV cluster with only load node and no generator node, this paper proposes a power flow calculation in the mixed power flow coordinate, and then the Krawczyk-Moore operator is used to combine interval and affine arithmetic to overcome the shortcoming of over-conservative interval algorithm. Finally, the voltage operating condition under different volatility and different partial shading conditions is studied through the simulation of a practical example, and the out-of-limit voltage problem inside the centralized PV cluster is analyzed. Meanwhile, the effectiveness of the proposed algorithm is verified.

Keywords: centralized PV cluster; power flow analysis; interval and affine arithmetic; Krawczyk-Moore operator; mixed power flow calculation; out-of-limit voltage; partial shading (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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