Energies | |
Development and Field Test of Voltage VAR Optimization in the Korean Smart Distribution Management System | |
Sang-Yun Yun1  Pyeong-Ik Hwang2  Seung-Il Moon2  Seong-Chul Kwon1  Il-Keun Song1  | |
[1] Korea Electric Power Research Institute (KEPRI), Korea Electric Power Corporation (KEPCO), 105 Munji-Ro, Yuseong-Gu, Deajeon 305-760, Korea; E-Mails:;Department of Electrical and Computer Engineering, Seoul National University, Gwanak-ro, Gwanak-gu, Seoul 151-744, Korea; E-Mails: | |
关键词: voltage VAR control; optimal power flow (OPF); distribution management system (DMS); dispersed generator; distribution network analysis; linear programming; distribution automation system; optimal method; | |
DOI : 10.3390/en7020643 | |
来源: mdpi | |
【 摘 要 】
This paper is a summary of the development and demonstration of an optimization program, voltage VAR optimization (VVO), in the Korean Smart Distribution Management System (KSDMS). KSDMS was developed to address the lack of receptivity of distributed generators (DGs), standardization and compatibility, and manual failure recovery in the existing Korean automated distribution system. Focusing on the lack of receptivity of DGs, we developed a real-time system analysis and control program. The KSDMS VVO enhances manual system operation of the existing distribution system and provides a solution with all control equipment operated at a system level. The developed VVO is an optimal power flow (OPF) method that resolves violations, minimizes switching costs, and minimizes loss, and its function can vary depending on the operator's command. The sequential mixed integer linear programming (SMILP) method was adopted to find the solution of the OPF. We tested the precision of the proposed VVO on selected simulated systems and its applicability to actual systems at two substations on the Jeju Island. Running the KSDMS VVO on a regular basis improved system stability, and it also raised no issues regarding its applicability to actual systems.
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
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RO202003190029154ZK.pdf | 2304KB | download |