윤치명
(Chi-Myeong Yun)
1iD
조규정
(Gyu-Jung Cho)
2iD
김형철
(Hyungchul Kim)
2iD
김철환
(Chul-Hwan Kim)
3iD
정호성
(Hosung Jung)
†iD
-
(Dept. of Transportation Engineering, Korea University of Science and Technology, Korea.)
-
(Smart Electrical & Signaling Division, Korea Railroad Research Institute, Korea.)
Copyright © The Korean Institute of Electrical Engineers(KIEE)
Key words
Energy storage system, Contribution analysis, DC Railroad, Fault Selective Device, Fault characteristic
1. Introduction
In order to respond to the rapid climate change around the world, many countries in
including Korea, designated and implemented voluntary greenhouse gas reduction targets.
In the field of power system, many studies on carbon reduction are in progress by
reducing the use of fossil fuels by using Energy Storage System (ESS) or renewable
energy. In case of Korea, various national policies such as mandatory installation
of ESS by public institutions are putting an effort to respond to climate change(1-3).
The rail transport sector in Korea is a public institution, but it is not included
in the mandatory ESS installation list. In consideration of policy and institutional
changes, various specific studies on the use of ESS in the rail transport sector are
also needed. Also, in previous studies, many studies have been conducted on the optimal
capacity calculation or operation optimization through ESS linkage with DC electric
railways, but no studies have been conducted on whether the existing protection system
operates.(4-7).
Among electric railroads, urban railroads are mainly operated in downtown areas, have
short distances between stations, are mostly used as direct current, and have high
load usage during rush hours. Because of these characteristics, when used in conjunction
with ESS, its utility is high, such as reducing peak load and utilizing train's regenerative
braking energy. However, when an accident such as a short circuit occurs while ESS
is connected, as the system becomes more complicated, there is a possibility that
the existing relay may malfunction.
Therefore, in this paper, the accident characteristics according to the ESS connection
were analyzed according to the ESS operation state, the presence or absence of failure
resistance, and the train operating conditions. In addition, it was analyzed how it
affects the setting of Fault Selective Device(50F) in current protection system in
DC railroad substation. For transient analysis, DC electric rail system and accidents
were simulated using the power analysis program PSCAD/EMTDC.
2. Conventional Protection method in DC Railroad
The protective relay elements mainly used in the DC power supply system of urban railroads
are the DC Over current Relay (76I), in which the circuit breaker operates directly
to protect the power supply system, and the Fault Selective Device(50F) that detects
faults by distinguishing the maximum traction current and the short-circuit fault
current.
2.1 DC Over current Relay(76I)
The DC over current relay is used to prevent the energization when the current exceeding
the rated current continues for a certain period of time, as shown in Figure 1.
그림. 1. DC 과전류 계전기 회로도
Fig. 1. Circuit diagram of DC over current relay
The DC over current relay is installed between the positive pole busbar on the positive
pole side of the rectifier and on each feeder side branched from the positive pole
busbar. When an over current flows, a circuit breaker is used to protect the power
supply circuit(8).
2.2 Fault Selective Device(50F)
The fault selective device classifies the characteristics of fault currents such as
general load current and short circuit using the current changing rate (di/dt) method
and the differential current (ΔI). The load current characteristics of the electric
railway go through several small changes in the current width until the maximum value
of the load current is reached.
The following relationship is established between the maximum value of $\triangle
I_{L}$ and the maximum value of the feeding current.
Unlike general load currents, in the case of a fault current, a current is generated
differently depending on a fault caused by a short circuit or an arc, the location
of the fault, etc.
그림. 2. DC 전기철도의 a)부하전류와 b)고장전류 비교
Fig. 2. Comparison of a) Load current and b) fault current of DC electric railroad
A fault occurring in a DC power supply circuit has a high slope and appears in the
form of a large current, so faults can be detected through the change in slope and
current. However, train load’s starting current has a shape very similar to the fault
current, so it is difficult to identify the fault. In addition, when a fault occurs
at a location far away from the relay, it is difficult to detect a fault because the
slope is low and the amount of change in current is not large, unlike a nearby fault.
Therefore, the fault selection device uses both the current change rate method and
the differential current method.
2.2.1 $\triangle I$ method
When the rate of change of current exceeds a certain slope E, $\triangle I$ calculation
starts. If $\triangle I$ is less than $\triangle I_{\max}$, which is setting value
of that system, relay does not trip. When it becomes larger, it operated in two ways
depending on the situation(9).
First, if the current is maintained for $t_{\triangle I}$ and the current change rate
is greater than F, which is end slope, the relay is tripped.
If di/dt is less than F, which is the end slope for $t_{rst}$, reset the relay. The
algorithm for the differential current method is shown in Figure 3.
그림. 3. △I 보호방식 알고리즘
Fig. 3. △I protection algorithm
2.2.2 di/dt method
If di/dt exceeds the starting slope E, then time counting and $\triangle I$ calculation
starts. If time counting exceeds $t_{di/dt}$, it works in two ways. If $\triangle
I$ is greater than the system setting value $I_{\min}$, and di/dt is greater than
the slope of E, the relay trips. If di/dt is less than F, reset the relay.
그림. 4. di/dt 보호방식 알고리즘
Fig. 4. di/dt protection algorithm
In this way, when fault determination is made by comparing the current gradient with
the current difference, an additional disturbance such as an ESS will affect the current
change, so a contribution analysis is required(9).
3. ESS Connection Method to DC Railroad
ESS has advantages and disadvantages depending on the location where it is installed,
such as a substation or a catenary. In this paper, three types of linkage methods
are introduced(10).
3.1 DC-link Bus Connection Method
When connected to DC-link, the battery that uses DC is connected only by transforming
it using a DC/DC converter, so the loss is small from the point of view of energy
conversion efficiency. However, if a large-capacity battery is connected, the contribution
to the system increases when a disturbance occurs, which adversely affects stability.
3.2 Stand-alone Type Catenary Connection
In the case of direct connection to the catenary, like the DC-link connection method,
it shows high efficiency in terms of power conversion efficiency and increases energy
storage efficiency for regenerative braking of trains. However, the ESS linkage adversely
affects the voltage stability of the catenary.
3.3 AC Bus Connection
Unlike the previous methods, the method is linked to the power receiving point supplied
by the power supplier. Since ESS is linked to alternating current, the energy conversion
efficiency is low and it is difficult to utilize the regenerative braking energy of
the train.
In this paper, a DC-link linkage method with advantages of power conversion efficiency
and stability and regenerative braking energy utilization is selected, and a summary
of the three methods is shown in Table 1(11).
표 1. 연결방식별 비교
Table 1. Comparison of features by connection method
Connection Method
|
No. of power conversion(s) from ESS to load
|
Possibility of linking renewable energy
|
Utilizing regenerative braking energy
|
DC-link Bus
|
1
|
High
|
Possible with low efficiency
|
Stand-alone
|
1
|
Low
|
possible
|
AC Bus
|
4
|
Very High
|
impossible
|
4. Simulation Results
In this paper, when the ESS in the substation of the DC electric railroad is connected
to the DC-link terminal, the situation when a fault occurs in the catenary is simulated.
First, the operation of the ESS is determined according to the magnitude of the voltage
$V_{ess}$ of the connection point where the ESS is connected to the main power source.
When the load current is maximum, a voltage drop occurs, and when the current is supplied
to the ESS through regenerative braking of the train, charging is performed and the
voltage rises. According to the international standard IEC 60850, the minimum non-permanent
voltage is 1.0 kV based on DC 1.5 kV, and the highest non-permanent voltage is DC
1.95 kV(12). Therefore, in this paper, discharging of the ESS is indicated when $V_{ess}$ falls
below 1.1 kV, and charging is indicated when $V_{ess}$ is 1.7 kV.
The capacity of the connected ESS differs depending on the system conditions, and
the capacity was calculated by considering the charging and discharging states, focusing
on the amount of regenerative energy generated from the train. Since the purpose of
this paper is to analyze the contribution of the ESS when an accident occurs during
charging or discharging, modeling of the ESS and the bidirectional converter uses
current source-based average modeling to indicate that current is supplied.
In this paper, the maximum load current state (ESS discharge) and the ESS charging
state were simulated and compared with the slope of the fault current in the no-load
state. The slope at which the failure selection device judges the failure is assumed
to be Start Slope = 50 kA/s and End Slope = 15 kA/s, which are used as representative
values. The $t_{di/dt}$ value is determined dependently according to the conditions
of the system. In general, in 1,500 V DC electric railways, $t_{di/dt}$ is set to
around 40 ms, and in this paper, $t_{di/dt}$ is set to 40 ms.
The magnitude of the fault resistance was assumed to be 50 mΩ when the arc occurred.
The train operating conditions were classified into two types: a condition in which
no train is operated (R=100 kΩ) and a condition in which train operation is maximum
(R=0.474 Ω). Since the distance between substations of DC electric railway is about
2~4 km, in this paper, it is assumed that the failure occurred at 2 km, which is the
middle point. Other parameters required for simulation are shown in Table 2.
표 2. 시스템 파라미터
Table 2. System parameters
Sorts
|
Set value
|
Catenary Resistance
|
12.8 mΩ/km
|
Rail Resistance
|
14 mΩ/km
|
Track Inductance
|
1.0 mH/km
|
Fault occurring time
|
3 s
|
Duration of fault
|
1 s
|
Figure 5 shows the circuit diagram of the DC electric railway and the modeling circuit diagram
in which the ESS is connected to the substation using PSCAD/EMTDC. It is assumed that
the ESS is connected to the DC-link stage through the rectifier transformer and rectifier
from the main power source, the train is moving on the upward direction at 2 km, and
the fault location occurred near the train.
그림. 5. PSCAD로 나타낸 직류 전기철도
Fig. 5. DC railroad electrification system in PSCAD
Before the simulation analysis, the terms are explained as follows.
$V_{L}$ : Load voltage
$V_{DC}$ : Rectifier voltage(=$V_{ESS}$)
$I_{ess}$ : ESS charging and discharging current
$I_{s}$ : Source current
$I_{DC}$ : Rectifier current
$I_{l}$ : Load current
4.1 No load condition
In case of no load condition, the no load voltage before the accident was 1.6 kV,
and the voltage after the failure was reduced to 0.432 kV.
그림. 6. 무부하 상태 a) 전압 b) 전류 c) di/dt
Fig. 6. No load condition a) voltage b) current c) di/dt
Since there is no load, the current flowing through the relay increased from 0 to
4.769 kA, and the slope was 101.3 kA/s, confirming the trip of the 50F relay.
4.2 ESS charging condition
This condition occurs when the regenerative energy generated while the train brakes,
which causes the flow of current from train to ESS.
그림. 7. ESS 충전 상태 a) 전압 b) 전류 c) di/dt
Fig. 7. ESS charging condition a) voltage b) current c) di/dt
In the case of the regenerative braking state, the current flowing to the ESS is generated,
and when a fault occurs, the slope has a higher slope value than the no-load condition,
and the relay trip was confirmed.
4.3 Full load current condition
When the maximum load current flows (load resistance = 0.474Ω), it drops below 1.1
kV and the ESS performs a discharge operation. First, Figure 8 shows the state of the maximum load current before the ESS is connected.
그림. 8. 최대부하전류 상태(ESS 미연계) a) 전압 b) 전류 c) di/dt
Fig. 8. Maximum load current condition without ESS a) voltage b) current c) di/dt
When a short-circuit failure occurred while the maximum load current was generated,
the current change slope was relatively lower than that of the no-load condition or
the ESS charged condition due to the influence of the load current, and a value of
57.29 kA/s was derived.
When the ESS is connected in the state of the maximum load current, the voltage $V_{ess}$
rises due to the discharge operation of the ESS.
Figure 9 shows full load condition while ESS is in operation.
그림. 9. 최대부하전류 상태(ESS 연계) a) 전압 b) 전류 c) di/dt
Fig. 9. Maximum load current condition with ESS a) voltage b) current c) di/dt
Due to the increase of the voltage while connecting to the ESS, the current change
occurred more significantly, and 62.26 kA/s was derived. It was confirmed that the
relay responds more sensitively because of ESS. If current was originally supplied
from the main power source to the load, the situation in which the ESS connected helps
the main power source to supply the current to the load. Therefore, when the feeder
voltage is increased and the current is changed accordingly, a larger change occurs.
Table 3 shows the result values derived earlier. Since the location where the fault occurred
was not far from the relay, the line inductance was small and magnitude of the current
was high. Therefore, most of the faults were detected by $\triangle I$.
표 3. 케이스별 di/dt 결괏값
Table 3. di/dt results by cases
Condition
|
di/dt(kA/s)
|
$I_{DC}$ before the fault(kA)
|
$I_{DC}$ after the fault(kA)
|
No load
|
101.3
|
0
|
4.77
|
ESS charging
|
110.25
|
-1.1
|
4.35
|
max. load current w/o ESS
|
57.29
|
2.1
|
4.88
|
max. load current w/ ESS
|
62.26
|
2.29
|
5.30
|
5. Conclusion
In this paper, change of di/dt characteristic was analyzed by changing the presence
of failure resistance, ESS operation condition, and train operating condition. As
a result of simulating the DC electric rail system using the power analysis program
PSCAD/ EMTDC and analyzing the slope of the 50F relay for each case, the existing
system tripped sufficiently even after ESS connection. However, since the voltage
rises according to the use of the ESS, the change in current is larger when a failure
occurs, resulting in a higher slope. As a result, it is necessary to pay attention
to the change in slope sensitivity when using the ESS.
Acknowledgements
This research was supported by a grant from the R&D program of the Korea Railroad
Research Institute, Republic of Korea.
References
South Korean Ministry of Trade, Industry and Energy, , 5th Renewable Energy Technology
Development and Dissemination Basic Plan, Dec. 2020.
Korea Energy Agency, August 2020, ESS Installation Guidelines for Public Institutions
South Korean Ministry of Foreign Affairs, accessed July 2021, https://www.mofa. go.kr/www/brd/m_20152/view.do?seq=365390
Chi-Myeong Yun, Gyu-Jung Cho, Joo-Uk Kim, Hyungchul Kim, Chul-Hwan Kim, Hosung Jung,
2020, Study of Voltage Stabilization on DC Railway Using Renewable Energy Source and
Energy Storage System, Trans of KIEE, Vol. 69, No. 10, pp. 1533-1539
Jong-young Park, Hosung Jung, Hyungchul Kim, Seungkwon Shin, 2014, Capacity Determination
of ESS for Peak Load Shaving Based on the Actual Measurement of Loads in the Substation
of Urban Railway, Trans. of KIEE, Vol. 63, No. 6, pp. 860-865
Jae-Haeng Heo, Seungkwon Shin, Jong-young Park, Hyeongig Kim, 2015, Study on the Optimal
Operation of ESS Considering Urban Railway Load Characteristic, Trans of KIEE, Vol.
64, No. 10, pp. 1508-1516
Hosung Jung, 2021, An Optimal Charging and Discharging Scheduling Algorithm of Energy
Storage System to Save Electricity Pricing Using Reinforcement Learning in Urban Railway
System, Journal of Electrical Engineering & Technology
Inkwon kang, 2014, New Electric Railway Engineering, SungAnDang
Yang Byungnam, 2016, Electric Railway Engineering, SungAnDang
S. Aatif, X. Yang, H. Hu, S. K. Maharjan, May 2021, Integration of PV and Battery
Storage for Catenary Voltage Regulation and Stray Current Mitigation in MVDC Railways,
Journal of Modern Power Systems and Clean Energy, Vol. 9, No. 3, pp. 585-594
Yun Chi-Myeong, Seoul 2021, A Study on the Method of Calculating the Optimal Capacity
of RES and ESS based on Load Patterns of Urban Railways through Economic Analysis.,
M. S. thesis, Sungkyunkwan University, Seoul
IEC 60850, 2007, Railway applications supply voltages of traction systems
저자소개
He received a B.S. degrees in 2019, from the College of Electric and Electrical Enginnering,
Seoul, Hongik University.
He reveived a M.S. degree from the College of Electrical and Computer Engineering,
Sungkyunkwan University, Suwon, South Korea.
At present, he is enrolled in the doctor’s program in the Department of Transportation
Engineering, Korea University of Science and Technology, Republic of Korea.
His research interests include integration of renewable energy resources and distribution
system planning.
He received the B.S., M.S. and Ph.D. degrees, in 2012, 2014 and 2019, respectively,
from the College of Electrical and Computer Engineering, Sungkyunkwan University,
Suwon, South Korea.
He is currently a Senior Researcher with the Smart Electrical & Signaling Division,
Korea Railroad Research Institute, Uiwang, South Korea.
His research interests include power system dynamics, electric railway system operation
and protection, integration of renewable energy resources, and distribution system
planning.
He received the B.S., M.S. and Ph.D. degrees, in 2012, 2014 and 2019, respectively,
from the College of Electrical and Computer Engineering, Sungkyunkwan University,
Suwon, South Korea.
He is currently a Senior Researcher with the Smart Electrical & Signaling Division,
Korea Railroad Research Institute, Uiwang, South Korea.
His research interests include power system dynamics, electric railway system operation
and protection, integration of renewable energy resources, and distribution system
planning.
He received a B.S and M.S. degree from the College of Information and Communication
Engineering, Sungkyunkwan University, Republic of Korea, in 1982 and 1984, respectively.
He received a Ph.D. degree in electrical engineering from Sungkyunkwan University
in 1990.
In that same year, he joined Jeju National University, Jeju, Republic of Korea as
a full-time lecturer.
He was a visiting academic at the University of Bath, UK, in 1996, 1998, and 1999.
Since March 1992, he has been a professor in the College of Information and Communication,
Sungkyunkwan University, Republic of Korea.
His research interests include power system protection, the application of artificial
intelligence to protection and control, the modeling/protection of underground cable,
and EMTP software.
He received a B.S and M.S. degree in Electrical engineering from Sungkyunkwan University,
Republic of Korea, in 1995 and 1998, respectively.
He received a Ph.D. degree from the Electrical Electronic and Computer Engineering
from Sungkyunkwan University in 2002.
He is currently a chief Researcher with the Smart Electrical & Signaling Division,
Korea Railroad Research Institute, Uiwang, South Korea.