52 IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 28, NO. 1, MARCH 2013
Two-Time-Scale Coordination Control for a Battery
Energy Storage System to Mitigate Wind
Power Fluctuations
Quanyuan Jiang, Member, IEEE, and Haijiao Wang
Abstract—In this paper, a two-time-scale coordination control
method to mitigate wind power fluctuations using a battery energy
storage system (BESS) is proposed. Two-time-scale maximal power
fluctuation restrictions (MPFRs) are set for the combined output
of the wind farm and the BESS: the maximal fluctuation of the
combined power in any 1- and 30-min time window must be kept
within γ
1min
% and γ
30min
%, respectively, of the rated power of
the wind farm. A flexible first-order low-pass filter (FLF) with an
optimization of time constant T
f
is developed to limit the power
fluctuation under restriction with smaller BESS capacity. Then,
a coordination control method is developed on base of the FLF,
which contains: 1) PSO-based time constant real-time optimizing
algorithm; 2) remaining energy level feedback control; 3) two-time-
scale coordination control strategy. Finally, an estimation of BESS
capacity and power rating for a wind farm to achieve the MPFRs
is presented, and the whole method is tested in a time-domain
simulation system.
Index Terms—Battery energy storage system (BESS), first-order
low-pass filter (FLF), fluctuation mitigation, power fluctuation,
wind generation.
NOMENCLATURE
P
W
Wind generation power output.
P
W, pre
Predicted wind power output.
P
W, rated
Rated power of the wind generation.
P
O, exp
Expected combined power output obtained
with an FLF algorithm.
P
O
Combined power output of the wind generation
and the BESS.
ΔP
t
O,p min
Maximal fluctuation of P
O
during the previous
p-minute period.
P
B, ord
Power order for the BESS.
P
B
Power output of the BESS.
P
B, Lim
Power output limit of the BESS.
REL Remaining energy level of the BESS.
Manuscript received February 10, 2012; revised May 18, 2012 and August
9, 2012; accepted October 9, 2012. Date of publication November 29, 2012;
date of current version February 7, 2013. This work was supported by the Na-
tional Key Basic Research and Development Program (“973” Program) of China
under Grant 2012CB215106, and the National High Technology Research and
Development Program (“863” Program) of China under Grant 2011AA05A113.
Paper no. TEC-00068-2012.
The authors are with the College of Electrical Engineering, Zhejiang
University, Hangzhou, 310027, China (e-mail: jqy@zju.edu.cn; unique1988@
zju.edu.cn).
Digital Object Identifier 10.1109/TEC.2012.2226463
Capacity Minimal BESS capacity required for power
fluctuation mitigation during a time period.
Power Minimal BESS power rating required for power
fluctuation mitigation during a time period.
T
f
Time constant of the FLF.
α Variable to be optimized, associated with T
f
.
γ
1min
One-minute fluctuation restriction, given as a
percentage value of P
W, rated
.
γ
30 min
Thirty-minute fluctuation restriction, given as
a percentage value of P
W, rated
.
Δt Step size for the coordination control method.
I. INTRODUCTION
W
IND power generation has recently shown rapid devel-
opment throughout the world and is regarded as a clean
and renewable energy resource. However, due to strong fluctu-
ation of wind generation power, the integration of wind power
at high level of penetration creates significant challenges for
power system operation [1]–[4]. Power fluctuations at different
time-scales influence different aspects of power system oper-
ation [2]. Fluctuations from several minutes to several hours
influence generation reserves and the energy dispatch of power
system [1], while fluctuations from several seconds to several
minutes impact power system frequency control [4]. The prob-
lem of “hard to integrate” appears as a barrier to wind energy
adoption in varying degrees for different countries. As a result,
some electric power companies have announced technical re-
quirements for integrated wind farms, and the maximal power
fluctuation of different time-scales should be mitigated within
different restrictions [5], [6].
Some improved methods based on pitch angle control and
converter control of wind turbine generator were developed
to smooth the fluctuations of wind power. Rawn et al. devel-
oped a new control topology for converter-interfaced wind tur-
bines, which causes the power injected into the grid is a low-
pass filtered version of the incident wind power [7]. Uehara
et al. presented a coordinated control of dc-link voltage and
pitch angle to smooth output power for permanent magnet syn-
chronous generator [8]. Changling et al. introduced P
ref
versus
ω
m
functions into decoupled PQ control of double-fed induc-
tion wind turbines (DFIGs), which could smooth the wind power
fluctuations [9].
With the recent rapid development of novel energy storage
techniques such as batteries, electric double-layer capacitors
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