Power balance and control of transmission lines using static series compensator

Mohammed Y. Suliman; M. Emad Farrag

doi:10.1109/UPEC.2018.8541894

Power balance and control of transmission lines using static series compensator

Mohammed Y. Suliman, M. Emad Farrag

Electrical Power Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Parallel transmission lines can be utilized for a flow power from
a surplus generation area to a load center in a meshed power
system grid. The distribution current flow in these parallel
transmission lines depends on impedance value of the line. The
lowest impedance value will reach the maximum transmission
capacity earlier than the other parallel paths. It thus determines
the maximum transmittable power, although the other parallel
paths are not loaded to full capacity. In this paper, a simulation
model of power transmission with two parallel transmission
lines is presented with static series compensator to regulate the
active power. The control scheme using adaptive fuzzy logic is
proposed, in this controller, Takagi-Sugeno fuzzy rules are
trained using off-line. The results show the ability of the
compensator to control the active power flow in the regulated
line to vary between 50 and 100 percent of the original power
flow.

Original language	English
Title of host publication	2018 53rd International Universities Power Engineering Conference (UPEC)
Publisher	IEEE
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538629109
ISBN (Print)	9781538629116
DOIs	https://doi.org/10.1109/UPEC.2018.8541894
Publication status	Published - 13 Dec 2018

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Keywords

impedence
power transmission lines
voltage control
fuzzy logic
control systems
voltage measurement

Cite this

Suliman, M. Y., & Farrag, M. E. (2018). Power balance and control of transmission lines using static series compensator. In 2018 53rd International Universities Power Engineering Conference (UPEC) (pp. 1-5). IEEE. https://doi.org/10.1109/UPEC.2018.8541894

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title = "Power balance and control of transmission lines using static series compensator",

abstract = "Parallel transmission lines can be utilized for a flow power froma surplus generation area to a load center in a meshed powersystem grid. The distribution current flow in these paralleltransmission lines depends on impedance value of the line. Thelowest impedance value will reach the maximum transmissioncapacity earlier than the other parallel paths. It thus determinesthe maximum transmittable power, although the other parallelpaths are not loaded to full capacity. In this paper, a simulationmodel of power transmission with two parallel transmissionlines is presented with static series compensator to regulate theactive power. The control scheme using adaptive fuzzy logic isproposed, in this controller, Takagi-Sugeno fuzzy rules aretrained using off-line. The results show the ability of thecompensator to control the active power flow in the regulatedline to vary between 50 and 100 percent of the original powerflow.",

keywords = "impedence, power transmission lines, voltage control, fuzzy logic, control systems, voltage measurement",

author = "Suliman, {Mohammed Y.} and Farrag, {M. Emad}",

note = "Acceptance in SAN No ISSN found for output, out of policy scope. ST 13/11/19",

year = "2018",

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day = "13",

doi = "10.1109/UPEC.2018.8541894",

language = "English",

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T1 - Power balance and control of transmission lines using static series compensator

AU - Suliman, Mohammed Y.

AU - Farrag, M. Emad

N1 - Acceptance in SAN No ISSN found for output, out of policy scope. ST 13/11/19

PY - 2018/12/13

Y1 - 2018/12/13

N2 - Parallel transmission lines can be utilized for a flow power froma surplus generation area to a load center in a meshed powersystem grid. The distribution current flow in these paralleltransmission lines depends on impedance value of the line. Thelowest impedance value will reach the maximum transmissioncapacity earlier than the other parallel paths. It thus determinesthe maximum transmittable power, although the other parallelpaths are not loaded to full capacity. In this paper, a simulationmodel of power transmission with two parallel transmissionlines is presented with static series compensator to regulate theactive power. The control scheme using adaptive fuzzy logic isproposed, in this controller, Takagi-Sugeno fuzzy rules aretrained using off-line. The results show the ability of thecompensator to control the active power flow in the regulatedline to vary between 50 and 100 percent of the original powerflow.

AB - Parallel transmission lines can be utilized for a flow power froma surplus generation area to a load center in a meshed powersystem grid. The distribution current flow in these paralleltransmission lines depends on impedance value of the line. Thelowest impedance value will reach the maximum transmissioncapacity earlier than the other parallel paths. It thus determinesthe maximum transmittable power, although the other parallelpaths are not loaded to full capacity. In this paper, a simulationmodel of power transmission with two parallel transmissionlines is presented with static series compensator to regulate theactive power. The control scheme using adaptive fuzzy logic isproposed, in this controller, Takagi-Sugeno fuzzy rules aretrained using off-line. The results show the ability of thecompensator to control the active power flow in the regulatedline to vary between 50 and 100 percent of the original powerflow.

KW - impedence

KW - power transmission lines

KW - voltage control

KW - fuzzy logic

KW - control systems

KW - voltage measurement

U2 - 10.1109/UPEC.2018.8541894

DO - 10.1109/UPEC.2018.8541894

M3 - Conference contribution

SN - 9781538629116

SP - 1

EP - 5

BT - 2018 53rd International Universities Power Engineering Conference (UPEC)

PB - IEEE

ER -

Documents and Links

10.1109/UPEC.2018.8541894

Suliman, M.Y. & Farrag, M.E. (2018) Power balance and control of transmission lines using static series compensator
Copyright © 2018 IEEE. This is a post-peer review, pre-copy edited version of the article and may differ slightly from the final published version of the work. This work is made available in line with the publisher policy. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Accepted author manuscript, 1.42 MB