Frequency Regulation Control
Frequency Regulation Control
Manuelito Del Castillo, Jr., Gun Pyo Lim, Yongbeum Yoon, Byunghoon Chang
Korea Electric Power Corporation Research Institute, Daejeon, 305-760, Republic of Korea
Corresponding author: Manuelito Del Castillo, Jr. (14990070@kepco.co.kr)
Abstract: Energy Storage Systems (ESS) have an impressive track record for providing stability and efficient power management in
power system. With recent technological advancements and the decline in costs, the use of battery for ESS is gradually becoming
popular in the power industry. In particular, Lithium-ion Battery (LiB) is being used in various power grids around the world. In
Jocheon, Jeju Island, Republic of Korea, operation and control of grid-connected Battery Energy Storage System (BESS) of
4MW/8MWh capacity has been in demonstration phase since 2013. Several simulation tests were already performed for peak shaving,
renewable energy output smoothing, and most recently, frequency regulation control. On-site tests are continuously performed for
frequency regulation. In previous tests, control algorithm was coded, modified and tested to load into controller and communication
system, and human-machine interface was developed. The BESS Energy storage was connected to grid for frequency regulation using
both simulated and actual frequency variations. The most recent results are presented in this paper showing BESS frequency
regulation with continuous operation duration for three days. It was also observed in the results that BESS frequency regulation has
faster response, less costs and less capacity of energy storage systems which cover for frequency regulation of power plants. Time
reduction and time-delay elements are also investigated.
Keywords: Battery, energy storage system, frequency regulation, grid-connected control system.
uses PSS/E with C# programming language. The Table 1 Frequency operation recorded by KPX.
frequency control used in the substation with BESS in Freq No. of freq. variations Share rate
conjunction with the installation requirements for 59.8 0 0
59.81 26 0
commercial use. Control algorithms were modified to
59.91 3730 0.28
communicate with other already installed control 59.96 635699 51.2
equipment. 60.1 644055 48.09
Since previous results of the demonstration project 60.06 5690 0.42
confirmed the use of BESS to control frequency 60.11 0 0
60.2 0 0
fluctuations for actual power system, we continue in
investigating the effectiveness of BESS frequency
regulation response in longer duration.
The frequency regulation controller device consists the battery monitoring system. The BESS has eight (8)
of control algorithm computing devices, communication 1-MWh batteries, and two of them are linked to one (1)
apparatus, and a frequency measuring unit. The MW PCS, one set of frequency regulation controller,
frequency controller receives the frequency signals as and corresponding set of communication controllers.
input and is sent to the PCS in order to determine the
2.4 Frequency Regulation Control Method for the BESS
dispatch operation. The PCS system consists of a
control panel, the drive panel, and the input panel. The The frequency regulation control method is
charging and discharging dispatch for the battery will divided into three separate control method categories
be according to the request signal received from the or states for adjusting the frequency of the BESS.
frequency controller. These states are transient control state, steady state,
The actual frequency regulation control system for the exit state.
BESS configuration is shown in Fig. 4. The whole Fig. 5 shows an overview of the frequency
control system consists of a control algorithm regulation control for BESS. The algorithm is coded
computing devices, communication apparatus, the using C# programming language. The algorithm first
frequency measuring device and a set of console for receives input data, such as frequency and battery
driving the frequency regulation controller device. charge status. Then, it calculates a frequency error to
The PCS system is composed of four sets of 1 MW determine the state of operation.
power charge and discharge system. The PCS is in During transient state, signal is sent to the PCS, and
conjunction with one set 1 MW frequency regulation then battery output target value is now set to transient
controller with a set of controls and communication state control mode. While in a non-transient state, the
configuration. The smallest unit of a battery (cell)
constitutes a 1MWh multiple cell battery connected to
Fig. 4 Frequency regulation control system. Fig. 5 Frequency regulation control algorithm.
290 Application of Frequency Regulation Control on the 4MW/8MWh Battery Energy
Storage System (BESS) in Jeju Island, Republic of Korea
battery output target value is set to steady-state control amount of the minimum frequency will be eliminated
mode. After experiencing a transient state, the process at the generators that correspond to the values for
returns to the normal state control mode which passes frequency error. Since it is possible to control the
through the exit state control mode. Steady-state nature of fast energy storage device to store excess
control mode is applied when there is no fault and in energy when the power system based on the frequency
consideration of the battery State of Charge (SOC). It required by the system, constant K was estimated by
does not require a control system to ensure a fast calculating the requirements of the device in
control response of the available capacity of the battery proportion to the drop in the operable region before
energy storage system (to minimize the steady-state). reaching the point of maximum yield point and then to
Eq. (1) represents the control strategy of the steady-state the minimum frequency grid disturbance. There is a
control mode [5]. need to avoid sudden changes in the output when it
0, f 30mHz returns to the steady-state control mode, starting from
0% SOC 40%10%P ,30mHz f 30mHz the transient period until the system recovers. When
n
Preq,30mHz f
the exit state mode changes to the normal state control
req
P , f 30mHz
(1)
P 40% SOC 80% 5%Pn ,30mHz f 30mHz mode, it yields a dynamic or transient control mode
ess
Preq,30mHz f
state of the energy storage device.
Preq, f 30mHz
0% 40%,0
80% SOC 100 % 10 % P n ,30mHz f 30mHz
0, f 30mHz df
dt 0,Kf
(2)
P 40% SOC 100% df 0&P (K f),P
We set the discharge limit and this is decreasing all ess
af d af
throughout the BESS operation lifetime. The dead dt
df
0&P (K f),K f
zone was set to control the frequency shift in order to dt af d d
prevent a reduction in battery life due to frequent Eq. (2) represents the dynamic state control mode
charging and discharging operations. Very small the control strategy of the energy storage device, the
amounts of charging and discharging for the BESS as formula [4].
response to the fast-changing frequency fluctuations
may result to decreased efficiency and may negatively 3. Simulation and Demonstration Results
affect the overall facility life [6]. These small amounts Tests using simulated frequency variations were
of charging and discharging are not recognized by the conducted in previous demonstrations of the project
system. to verify the control algorithm before it is used in
In the state of charge between 40 % to 80 %, and the BESS for actual power system frequency regulation.
charge and discharge control in other areas other than In the case of large energy storage devices, a
the dead band, constant K is applied with output proportional constant is determined for the control of
change rate of 4 % of the existing power generation the output value of the BESS in order to correct the
source in accordance with the grid frequency variations. error on the power system frequency. In testing
Control is enabled for discharging during 80 % - 100 % energy storage system devices in different power
state of charge while control for charging is enabled ranges, KPX’s system auxiliary services operating
during 0 % to 40 % state of charge. criteria shall apply. Control is applied only when the
In the above mentioned charge-discharge limits and measured driving speed is out of the dead band or
controls, the output of the BESS is determined by deviated by ± 0.03 Hz from the reference value of the
applying K (domestic power system). Constant integer power system frequency [7]. Separate conditions are
K is eliminated from the generator power system: The simulated whether on steady-state or transient state.
Application of Frequency Regulation Control on the 4MW/8MWh Battery Energy 291
Storage System (BESS) in Jeju Island, Republic of Korea
Figs. 6-7 show the results of the said simulations for Each battery charging status, 40 % or more, has to be
both steady state control mode and transient state raised to the maximum power. After the transient
control mode. The 102.21 MW/Hz Line Regulation control mode is complete, the control was found to
are subjected to a constant strain of 4 % by the Jeju decrease the battery output at a constant rate by
system simulation testing. switching the control mode to the exit state. After
In Fig. 6, system power generation capacity is 702 completing the simulation test, the frequency
MW, the system load is 699 MW, Jeju’s peak load for regulation control system is connected to the PCS
the year 2013. Battery charging status of # batteries system with all the necessary communication links as
1-4 are 5, 55, 75, and 95 % respectively. shown in Figs. 3-4.
In Fig. 7, power generation is 702 MW, and system Without connection to the BESS, we used a console
load is 699 MW during the state of the frequency controller and Rx3i of GE for frequency regulation
regulation operation of the High-Voltage Direct control performance and install the corresponding
Current (HVDC) power transmission. Battery SOC for control algorithm in the device. Proficy Machine
the four units are 5, 55, 75, and 95 %, by applying a Edition 7.0 was used to control the logic of Rx3i
peak load of Jeju Island in 2013 and were tested by development program. A control algorithm is
dropping 35 MW. developed initially in C# programming language. This
It was confirmed that it is possible to control the must be loaded into this controller device. However,
output of the battery, as shown in the simulation because the inputs that are loadable in the Rx3i device
results in Figs. 6-7. It can be discharged even when the must be in C programming language, the algorithm
battery is partially discharged. In contrast to the steady structure associated must be modified. The new
state, the transient state is determined based on the structure could be expressed in the form of a combined
frequency variation exceeding a continuous span of time. ladder diagram and functional block diagram. It is
therefore necessary to debug the manually modified
automatic control logic [8].
Once the control algorithm is loaded into the
controller similar results are obtained between the
simulation shown in Figs. 6-7 and the simulation
shown in Figs. 8-9. The process proceeds without the
communication associated with PCS. This confirms
that the controller is operating normally in accordance
with the control algorithms. As the coded algorithm is
Fig. 6 Steady state control mode using BESS.
verified and performed properly, we proceeded with
the field test connecting the BESS.
The task was to develop a parallel operation of the
console screen and the control strategy developed in
the controller. Fig. 10 shows the configuration of the
console controller for individual and collective control.
This includes controller tuning function, frequency
fluctuations simulated function, alarm and event
functions, trend function, communication network
Fig. 7 Transient state control mode using BESS. surveillance, starting sequence, automatic control and
292 Applicatio
on of Frequen
ncy Regulation
n Control on the
t 4MW/8MW Wh Battery Energy
Storage Sysstem (BESS) in Jeju Island
d, Republic of Korea
transient state and steady state when transient state is 400 ms was spent to reach the output to 1000 kW, and
finished. it took 70 ms to measure the results directly from the
Fig. 11 shows the steady state frequency regulation controller. It was found that it took approximately 130
with some delay time from the energy storage device ms to generate the required battery output after
to the battery output target value that is input to the frequency variation during the transient state. 130 ms
console for operating the grid frequency. contains the required process time for the control logic
Fig. 12 shows the frequency change rate within the and 14 ms for the sweep controller.
transient criteria, between -0.0306 [Hz/sec] and -0.486 With all the necessary tests done, the whole BESS
[Hz/sec], and the frequency change lasted for about system together with the frequency regulation
120 ms. Based on the duration of the transient state controller is connected to the actual power system in
where in the corresponding frequency regulation Jocheon substation, Jeju Island. Previously frequency
control command is applied. regulation of the actual system was only done for a
Power was transferred to PCS, at 180 ms until output short time (3 seconds) as shown in Fig. 13. Our latest
target value (1000 kW) is reached and thus there will data shows frequency regulation for 3 days. This is
be a continuous rise of frequency and corresponding shown in Fig. 14. Real time communications are also
variability. Fig. 12 shows the generation delay time of done for the entire BESS frequency regulation control
60 ms, which represents the time for the BESS to system and grid with corresponding actual battery
discharge power to the distribution line as commanded charging and discharging dispatch.
by the controller. In Fig. 12, it shows that 1000 kW It is necessary to control the supply time of the
BESS power supply switch by three conditions [10].
First, it should be controlled within the dead-time of
the generator to the frequency change time. Second, it
must be able to ensure the supply time of about a few
seconds for the supply switch to change from transient
state to the normal state. Then it should be able to
execute control that does not impact the system overall
dispatch time. Considering the three conditions, the
algorithm could be able to calculate the amount of
frequency adjustment period required for the BESS to
Fig. 11 Steady state frequency regulation using BESS with operate for the frequency regulation of the power
controller. system If deployment is faster, there will be shorter
supply time and will ease the requirement for longer
feed time for deployment. Faster deployment time for
operating an energy storage device gives a stable
system with the capacity to operate for much less time
in using the energy storage system. In this paper, the
state of control mode was confirmed by the operation
control of the supply switch. Future research could
concentrate in determining deployment time for
Fig. 12 Transient state frequency regulation using BESS optimum performance of BESS.
with controller. It was therefore confirmed based from the simulation
294 Application of Frequency Regulation Control on the 4MW/8MWh Battery Energy
Storage System (BESS) in Jeju Island, Republic of Korea
References
(b) [1] S. Kalyani, S. Nagalakshmi, R. Marisha, Load frequency
Fig. 14 Continuous frequency regulation of the total BESS control using battery energy storage system in
system for 3 days: (a) actual 3 days; and (b) magnified 2 interconnected power system, in: Third International
hour period. Conference on Computing, Communication and
Application of Frequency Regulation Control on the 4MW/8MWh Battery Energy 295
Storage System (BESS) in Jeju Island, Republic of Korea
Networking Technologies (ICCCNT’12), India, July, 2012. Engineers 62 (4) (2013) 444-450.
[2] P. Mercier, R. Cherkaoui, A. Oudalov, Optimizing a [6] P.W. Murrill, Fundamentals of Process Control Theory,
battery energy storage system for frequency control Instrument Society of America, 2009, p.100.
application in an Isolated power system, IEEE [7] G. Mcmillan, Good Tuning: A pocket guide, 2nd ed., The
Transactions on Power System 24 (3) 1469-1477. Instrumentation, Systems and Automation Society, 2005,
[3] C.F. Lu, C.C. Liu, C.J. Wu, Effect of battery energy pp. 88-91.
storage system on load frequency control considering [8] G.P. Lim, Demonstration to operate and control
governor deadband and generation rate constant, IEEE frequency regulation of power system by 4MW energy
Transactions on Energy Conversion 10 (3) 555-561. storage system, The Transactions of the Korean Institute
[4] Power System Operation Records, KPX, December 2013, of Electrical Engineers 63 (3) 169-177.
p. 11. [9] C.L. Smith, Practical Process Control: Tuning and
[5] J.B. Han, U. Garam, K.S. Kook, B. Chang, A study on the Troubleshooting, John Willet & Sons, Inc., 2009, pp.
criteria for setting in the dynamic control mode of battery 151-153.
energy storage system in power systems, The [10] K. Tweed, Faster Frequency Regulation Triples in PJM,
Transactions of the Korean Institute of Electrical Greentech Media, November 2013.