Energy Storage Management in Grid Connected Solar Photovoltaic System

Vidhya Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 5, Issue 4, ( Part -7) April 2015, pp.01-05
www.ijera.com 1 | P a g e
Energy Storage Management in Grid Connected Solar
Photovoltaic System
Vidhya
M.E, Power Systems Engineering, Sri Ramakrishna Institute of Technology.
Abstract
The penetration of renewable sources in the power system network in the power system has been increasing in
the recent years. One of the solutions being proposed to improve the reliability and performance of these
systems is to integrate energy storage device into the power system network. This paper discusses the modeling
of photo voltaic and status of the storage device such as lead acid battery for better energy management in the
system. The energy management for the grid connected system was performed by the dynamic switching
process.
Keywords: modeling of PV, storage devices and energy management system.
I. INTRODUCTION
The renewable energy sources (RES) are clean
with low environmental impact than the conventional
energy source. RES such as wind, solar, biomass,
hydro and geothermal are available in nature as a non
depleting source. The solar Photovoltaic (PV) cell is
an electronic device that essentially converts the solar
energy of sunlight into electric energy or electricity.
Photovoltaic system consists of many cells, panels
and array. The large scale PV plants are used for
electricity generation that is fed into the grid and
load. Such system, typically consist of one or more
PV panels a DC/AC power Converter/Inverter.
Additionally such system could also include
maximum power point (MPP) and storage devices.
The electricity generated is either stored, used
directly for self-consumption or is fed into large
electricity grids. Interconnections of panel or array,
predict the output voltage or current or power and it
is a variable that depends upon the sunlight. The
converters may be used to regulate voltage and
current at the load to control the power flow. There
are many advantages of using solar Photovoltaic as a
source for generating power, such as clean energy, no
pollution and maximum power at peak hours. The
modeling of solar PV system is to obtain maximum
power for load requirements. Therefore energy
storage system is very important for balancing the
system or energy management of the system [1]. A
grid connected/stand alone solar PV system
essentially consist of utility, PV array as primary
sources, storage device as external leveling agents to
sink/sources the primary source power and load.
Hence power flow management is required to balance
the power flow among these sources which controls
the bidirectional converter connected to battery so
that the battery can be charged or discharged. The
power flow management controller is based on the
state of charge of the battery.
II. OVERVIEW OF ENERGY
STORAGE MANAGEMENT
The use of energy storage system reduces the
cost of electricity and improves the reliability in the
power system. The proper sizing and control of
energy storage system (zinc-bromine) is provided for
wind power system [2]. The grid connected hybrid
system uses storage device to manage the optimal
power flow in the system with minimizing overall
cost at point of common coupling [3]. The optimal
placing of new distributed generation into the
existing distribution network with the energy storage
device is done for better energy storage management.
Multi objective functions are optimized
simultaneously using evolutionary algorithm [4]. In
distribution system, there are many renewable energy
sources for generating power, the allocating
renewable sources using probabilistic technique and
also minimizing the losses in the power system
network [5]. The state of charge of battery is
controlled by the fuzzy controller. Over charging and
over discharging will affect the battery life time.
Battery is allowed to charge or discharge with the
standard reference value which is mentioned by the
manufacture under some standard test conditions.
Battery is controlled by using the fuzzy controller [6].
The circuit diagram for the grid connected solar
photovoltaic system is shown below. The modeling
of solar panel was done in order to get maximum
power during the day time. The power output from
the solar photovoltaic is variable and it is regulated
through the inverter. The solar photovoltaic
generation is connected to the power system through
the switching device. The energy storage device such
as lead acid battery is used for two purpose, charging
RESEARCH ARTICLE OPEN ACCESS

process take place when there is a maximum power
output from the solar photovoltaic generation and
discharging process take place when there is a less
power output from the solar photovoltaic generation
or power demand on the loads. At the instant, rate of
charging and discharging is shown on the display.
The utility grid with high voltage is reduced to low
voltage by the potential transformer and it is
connected to the static load through switch and buses.
Whenever there is a less or no energy supply from
the solar photovoltaic generation and storage device,
at that situation utility grid act as a supply for the
load. The solar photovoltaic generation, storage
device and utility grid consist of separate switches for
connect or disconnect from the power system. The
dynamic switching process is performed depends
upon the power generation from the solar
photovoltaic system.
Fig 1. Circuit diagram of grid-connected solar PV system.
III. MODELLING OF SOLAR PV
SYSTEM
The basic equation from the theory of
semiconductor, the IV characteristic of photovoltaic
cell is:
I=Ipv,cell-Id (1)
Where Id = Io,cell [exp(
𝑞𝑉
𝑎𝑘𝑇
)-1]
Ipv,cell is the current generated by the solar radiations,
Id is the Shockley diode equation, q is the electron
charge, I0, cell is the reverse saturation current, k is
the Boltzmann constant. T is the temperature of the
p-n junction and „a‟ is the diode ideally constant.
The PV array consists of several PV cells and
observes the characteristic at the terminal of the
photovoltaic array that requires the additional
parameters to the basic equation.
Fig 2: Single-diode model of the photovoltaic cell.
The interconnections of Rs and Rp are shown in
the figure 2, at the output terminal of the solar
photovoltaic cell, current and voltage are generated.
Interconnections of the cells in serious and parallel
form the array. Internal resistance, Rs controls
current generation and Rp is responsible for voltage
generation across the terminals of PV array [7]. The
cell connected in parallel increase the current and cell
connected in series increase the voltage.
Ipv = (Ipv,n+K1∆T)
𝐺
Gn
(2)
I0 =
Isc,n+KI∆T
exp
Voc ,n+KV∆T
𝑎Vt
−1
(3)
Vt = NsKT/q (4)
Where, KI and Kv is the current and voltage
coefficients, ∆𝑇 is the change in temperature, G
irradiations on the device surface and Gn nominal
irradiations. Isc,n and Voc,n is the nominal short circuit
current and open circuit voltage. Vt is the terminal
voltage of array and Ns is the number of cells in
serious connection. Using this equations current on
each panel and the terminal voltage are determined.

Fig 3. Subsystem of Solar Power generation
The input of the PV cells is temperature and
irradiations; the power output of the solar panel
depends upon these parameters. If the temperatures
of solar panel are increases then the power output
will be decreased. If the irradiations of the solar panel
are increased then the power output will be increased.
The power and voltage measurements are analyzed.
Fig 4. Solar PV generation
From the figure 3. The output of the solar is DC
voltage or current, it is inverted to AC using PWM
technique. The regulated or inverted output is
connected to the power lines [8]. S1 is the operating
switch which makes or breaks the contact from the
electrical network. AC power output from the
inverter is linear. The real power is feed into the
system through the switch S1 and the reactive power
is terminated, since it creates losses in the system.
Fig 5. Characteristic of I-V curve.
An efficient maximum power point is necessary
to improve the efficiency of a solar Photovoltaic
panel. Solar PV cells have a non-linear VI
characteristic with a distinct Maximum power point
which depends on environmental factors such as
temperature and irradiations. The important
parameters to be analyzed in solar PV are open
circuit voltage, short circuit current and the
maximum power where the voltage and current are
maximum; the solar cells are manufactured under
some standard test conditions will specify the
nominal operating conditions, which is shown in
table I and II.
TABLE I solar array 1000W/m2
Imp 7.61 A
Vmp 26.3 V
Pmax 200.143 W
Isc 8.21 A
Voc 32.9 V
Kv -0.1230 V/K
K1 0.0032 A/K
Ns 54
Rs 0.221 ohm
TABLE II solar array at nominal operating
conditions.
Imp 7.61 A
Vmp 26.3 V
Pmax 200.143 W
Isc 8.21 A
Voc 32.9 V
Io,n 9.825 A
Ipv 8.214 A
a 1.3
Rp 415.405 ohm
Rs 0.221 ohm
The solar PV system is modeled using the basic
semiconductor equation which is already shown. The
below equations shows that Ipv,n is calculated as
internal serious and parallel resistance, short circuit
current.
Ipv,n =
𝑅𝑝+𝑅𝑠
𝑅𝑝
Isc,n (5)
The Photovoltaic subsystem circuits are modeled
from the basic semiconductor theory. The parameter
of I-V equations by using the following nominal
information from the array data sheet: open circuit
voltage, short circuit current, maximum output
power, voltage and current at maximum power point,
current/temperature and voltage/temperature
coefficients.

Fig 6. Bidirectional converter.
The reference wave are combined with the
carrier wave to generate pulses is used for triggering
the gate pulses, to the operation of device such as
MOSFET [9]. It is the low power high switching
devices, the circuit is connected to G1 the energy is
stored in the battery and when it is connected to low
signal energy is supplied by the battery to the
electrical network. If the switch is connected to the
pulse generation, AC-DC conversion takes place to
store the energy. If the switch is connected to the G1
then DC-AC conversion take place to act as a supply
for the load and the witch is connected to the zero
then no action takes place.
IV. ENERGY STORAGE
MANAGEMENT IN SOLAR PV
SYSTEM
The energy storage will improve the availability
and reliability of the power system. There are many
energy storage devices are used in the electrical
power system such as battery, flywheels, ultra-
capacitor and fuel cell. Applications of the storage
device power generation and the load requirements,
for example battery is used as solar photovoltaic
generation, flywheels are used at the shaft of the
wind mills and ultra capacitors are used in the
transmission line to reduce the line loses in the
electrical power system. In this paper the main
parameter of managing the energy storage is state of
charge in the battery; its operation depends upon the
load and the source.
The state of charge is defined as the available
capacity expressed as a percentage of its rated
capacity. The SOC of battery is so important of
elections of various modes of operations such as grid
connected electrical network and stand alone or
islanding electrical network. Normally the battery
charger which is in existence does not incorporate
any of the state of charge measurements so as to limit
the charging rate of the battery based on SOC to
improve the life period of the battery. The operations
of charging and discharging of the battery is stated in
the embedded MATLAB function. Life lime and the
capacity of the battery are improved by the parameter
state of charge. The state of charge is determined by
the following equations.
SOC(t) =
𝑄(𝑡)
Qn
(6)
Where, Q(t) is the current capacity of the storage
devices with respect to time.
Qn is the nominal current capacity which is
represented by the manufacture.
SOC(t) is the state of charge with respect to
time.
State of charge could be calculated from
measured cell parameters, operating conditions and
temperature. There are some methods for
determination of state of charge; they are voltage at
open circuit conditions, current at short circuit
conditions and chemical methods.
V. SIMULATION RESULTS AND
DISCUSSIONS
The state of charge and state of discharge is
shown above was the energy management for grid
connected solar PV system. In this system lead acid
is used as a storage device for better energy
management between the source and the load. The
state of charging and discharging occurs when the
solar generation not able to supply the power or
during the peak time of the demand.
Fig 7. State of Charge
Fig 8. State of Discharge
The modeling of the PV is to get the desired
constant output of power and voltage. The
converter/inverter is connected to the battery for
storing the energy or deliver power to the load. Solar
photovoltaic panel 1 and 2 can able to generate power
up to 50KW and 500KW is a variable power output,

power demand or variable power output is managed
by the storage device. In the grid connected system
proper switching operations was performed by using
the embedded MATLAB function, this leads the
system as uninterrupted power supply to the load.
The maximum energy from the solar generation and
storage device gives supply to the load; the minimum
energy is drawn from the grid.
VI. CONCLUSION
The battery storage technology will play a major
role in the reliable and economic operations of grid
connected solar photovoltaic system. The cost of the
electricity was reduced or maintains constant by the
usage of energy storage devices and it required less
maintenance, life of the battery depends upon the
frequent charging and discharging with the specified
limit. The modeling of photovoltaic system to
regulate the power and voltage, for the grid
connected system, in order to reduce the fluctuation
in the system. The simulation results tell that the
energy is managed by the storage device will balance
the power systems. Thus the battery storage system
leads the energy management in the grid connected
solar photovoltaic system. The dynamic switching
process is performed by the EMBEDED/MATLAB
function, thus the energy is managed in the grid
connected solar photovoltaic system.
REFERENCE
[1]. M.G.Villalva, J.R.Gazoli and E.Ruppert,
“Modelling and circuit-based simulation of
Photovoltaic Arrays” razilian Journal of
power electronics, 2009 vol. 14, no. 1, pp,
35-45, ISSN 1414-8862.
[2]. T.K.A.Brekken, A.Yokochi, A. von
Jouanne, Z.Z.Yen, H.M.Hapke and
D.A.Halamay, “optimal energy storage
sizing and control for wind power
applications,” IEEE Trans, Sutainable
Energy, vol.2,no.1,pp.66-77, Jan. 2011.
[3]. Yoash Levron, Josep M. Guerrero and
Yuval Beck, “Optimal Power Flow in
Microgrids With Energy Storage,” IEEE
Trans. Power Syst., ol.28,no.3, Aug 2013.
[4]. G. Celli, E. Ghiani, . Mocci and F. Pilo, “A
multiobjective evolutionary algorithm for
sizing and siting of distributed generation,”
IEEE Trans. Power Syst., vol. 20, no.2, pp.
750-757, May 2005.
[5]. Y. Atwa, E. El-Saadany, M.Salama and R.
Seethapathy, “Optimal renewable resources
mix for distribution system energy loss
minimization,” IEEE Trans. Power Syst.,
vol.25,no. 1, pp.360-370. Feb. 2010.
[6]. S.Saravanan, R. Vidhya and S. Thangavel,
“Onlin Soc estimation and Intelligent
Battery Charger for solar PV System,”
International Journal of Engineering and
Advanced Technology., ISSN:2249-8958,
vol.2, April 2013.
[7]. Gow J A and Manning C.D(1996).
“Development of a model of Photovoltaic
arrays suitable for use in simulation studies
of solar energy conversion systems,” In
Proc. 6th
International Conference on Power
Electronics and Variable Speed Drives,
pp.69-74.
[8]. Chowdhury S, Taylor G.A, Chowdhury S.P,
Saha A.K and SongY.H(2007). “Modeling,
Simulation and Performance analysis of a
PV array in an embedded environment,” In
Proc. 42nd International Universities Power
Engineering Conference, UPEC, pp. 781–
785.
[9]. Majumder R, Ghosh A, Ledwich G, and
Zare F, (2010). “Power management and
power ﬂow control with back-to-back
converters in a utility connected microgrid,”
IEEE Trans. Power Syst., vol. 25, pp. 821–
834.
[10]. Carrero C, Amador J and Arnaltes S(2007).
“A single procedure for helping PV
designers to select silicon PV module and
evaluate the loss resistances”. Renewable
Energy, 2007

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