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http://dx.doi.org/10.5370/KIEE.2018.67.8.1031

A Study on the Large-scale Adoption Method of Distribution System Interconnected with PV System by Energy Storage System  

Nam, Yang-Hyun (Dept. of Electrical Engineering, Korea University of Technology and Education)
Choi, Sung-Sik (Dept. of Electrical Engineering, Korea University of Technology and Education)
Kang, Min-Kwan (Dept. of Electrical Engineering, Korea University of Technology and Education)
Lee, Hu-Dong (Dept. of Electrical Engineering, Korea University of Technology and Education)
Park, Ji-Hyun (Dept. of Electrical Engineering, Korea University of Technology and Education)
Rho, Dae-Seok (Dept. of Electrical Engineering, Korea University of Technology and Education)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.67, no.8, 2018 , pp. 1031-1039 More about this Journal
Abstract
If large-scale PV systems are continuously interconnected to distribution system, customer voltages could violate the allowable voltage limit($220{\pm}13V$) according to reverse power flow of PV system. In order to solve these problems, this paper proposes flexible adoption evaluation algorithm of PV system in distribution system which estimates proper introduction capacity and location of ESS(energy storage system) for keeping customer voltages within allowable voltage limit based on various operating scenarios related with connecting point and capacity of PV system. And also this paper proposes modeling of ESS, SVR(step voltage regulator) and PV system using PSCAD/EMTDC S/W and analyzes characteristics of customer voltages and the adoption ability of PV system in distribution system. From the simulation results, it is confirmed that proposed algorithm is useful for large-scale adoption of PV system in distribution system to maintain customer voltages within allowable voltage limit.
Keywords
PV System; ESS; Distribution System; SVR; Customer Voltage; Large-scale adoption evaluation algorithm;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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