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IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 6, Issue 4 (Jul. - Aug. 2013), PP 11-20
www.iosrjournals.org
www.iosrjournals.org 11 | Page
Fuzzy Logic Based Controller Effective Energy Management
OfComposite Energy Storage System Involving Battery
AndUltracapacitor inMicrogrid
Md.Asif1
, T.Thirumalkumar2
, D.Shobha Rani3
, B.Ramu4
, P.Harika5
1, 2, 3, 4, 5
(EEE, Vardhaman College of Engineering (Autonomous), JNTU, Hyderabad, India)
Abstract: In present world usage of fossil fuels are increasing, in order to decreasethem the alternate option
isRenewable-energy-basedmicrogrids, they are a better wayof utilizing renewable power and reduce the usage
of fossil fuels.Usage of energy storage becomesmandatory when such microgridsare used to supply quality
power to the loads. Microgrids have twomodes of operation, namely, grid-connected and islanding
modes.During islanding mode, the main responsibility of the storage isto perform energy balance. During grid-
connected mode, the goalis to prevent transmission of the renewable source intermittency and load fluctuations
to the grid. Energy storage of a single typecannot perform all these jobs efficiently in a renewable
poweredmicrogrid. The alternating nature of renewable energy sourceslike photovoltaic (PV) demands usage of
storage with high energydensity. At the same time, quick fluctuation of load demandsstorage with high power
density. This paper shows a compositeenergy storage system (CESS) that contains both high energy
densitystorage battery and high power density storage ultracapacitorto meet the aforesaid requirements. By
using DAB powerconverter configuration and the energy management scheme canactively distribute the power
demand among the different energystorages.Using fuzzy logic controller
Keywords: Bidirectional converter, energy management,energy storage, interleaved modulation, modular
design andmicro grid.
I. Introduction
Due to the intermittent nature of renewable energy sourcesand the incessant variations of the load,
storage (e.g.,battery, ultracapacitor, flywheel etc.) is usually needed in a renewablepowered microgrid. The
renewable output power profileand the load profile are two important factors in deciding thecapacity and type of
the energy storage components. The variationin output power from a utility-scale PV system is presented.In fig
[1],
Fig. 1. Typical 24-h (a) PV output power and (b) residential load profile
From the fig 1 we can observe that variations in the pv output power profile comparing to residential
load profile ,inorder to compensate the pv output power with residential load profile we requireComposite
energy storage system (CESS) which includes battery and ultracapacitor , If we use only ultracapacitor, then it
has tobe oversized for storing large amount of energy to take care ofthe intermittency of the renewable sources
and loads.Hence, use of a Composite energy storage system (CESS)encompassing both high power density and
high energy densitystorage units is practically necessary. Now, the selection ofthe type of storage is also crucial.
For energy storage in the highpower range for standard power systems, the most suitable oneswould be
pumped hydro storage, compressed air storage, etc.
Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System
www.iosrjournals.org 12 | Page
Fig. 2.Ragone chart showing the power density and energy density of different Storages.
Fig. 3. Block diagram showing CESS interface with the dc grid.
However, for microgrids, where power levels are in the rangeof a few megawatts, battery,
ultracapacitor, and flywheel arethe more suitable options. Battery and ultracapacitor are consideredas high
energy density storage and high power densitystorage, respectively, and their combination is a very
promisingoption to realize the CESS system. Fig 3 shown thatultracapacitor–battery hybrid energy storage
performs better
Than battery-alone energy storage for a stand-alone PV system.. fig 4 shown that battery–ultracapacitor
hybrid storagehas the virtues of both high energy density and high power
Density, and also, such system increases battery life. .fig 5 analytically proved that battery–
ultracapacitor hybridachieves power and life extension of battery. This paper alsoexploits the potential of battery
and ultracapacitor as a CESS,as shown in Fig. 3.Bidirectional dc–dc converters are required to interface
thebattery banks and the ultracapacitor to the dc link for controllingthe power flow. The basic requirement from
the dc–dcconverter is that the user should be able to dynamically allocate the load current demand between the
battery and the ultracapacitor.Different power converter structures are proposed in theliterature for interfacing
battery and ultracapacitor to the dc link.Fig 6 proposed that an ultracapacitor with aboost chopper can be
connected to the terminals of the battery,and battery current can be indirectly controlled by controllingthe
ultracapacitor current. fig 7 proposed a technique,where ultracapacitor is connected to the battery with
reducedpower device rating.
The salient features of the proposed CESSsystem are:
1) dynamic allocation of steady power demands andtransient power demands to the batteries and ultracapacitor,
respectively;
2) flexible distribution of power flowamong differentbatteries without disturbing the normal operation and
online battery
Fig. 4.Few possible configurations of module-based converter.
Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System
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(a) IPOP. (b) IPOS. (c) ISOS. (d) Modified version of IPOP.
(e) Modified version of IPOS.replacement;
(3) ultracapacitor charging–discharging withoutdisturbing the normal operation; and
(4) flexibility to upgradethe power rating or energy rating of the CESS systemindependently.
Incorporation of these features has been possiblebecause of the proposed unique modular power
converterstructure.
II. Usage of Dab Converters
As mentioned earlier, module-based design is the best approachto satisfy all the requirements of energy
storage andload. The configurations of module-based converter are shownin Fig. 4. Input parallel output parallel
(IPOP) configuration, asshown in Fig. 4(a), shares the input and output current in modules.By controlling the
input current in each of the converters,the power flowin each can be controlled .Fig. 4(d) is derivedfrom Fig.
4(a) to interface multiple sources. This is also a commontopology in connecting multiple sources [18].
Input paralleloutput series (IPOS) topology presented in Fig. 4(b) shares thecurrent in the parallel side, while
achieves high voltage in theseries side. Therefore, it is suitable for applications, where energystorage and load
have large voltage difference. Fig. 4(e)is derived from Fig. 4(b) to interface multiple sources. Input
Series output series (ISOS) configuration of Fig. 4(c) sharesvoltage both in input and output side. It is
favorable for highinput and output voltage application. This connection is especiallyuseful when power
increases to megawatt level, sincehigher voltage can help to reduce the magnitude of current toachieve lower
loss .In all the aforementioned schemes,the basic power converter module used is the DAB. The module-based
converter design approachesnot only can match the different source and load requirements,but also share the
power in each module, and thus help to reducethe switch stress. Table. I lists the comparison of switchstress and
transformer turns ratio in IPOP, IPOS, and ISOS
TABLE I
Comparison of Device Stress under Same Output Power
With single DAB converter, respectively. Base values are chosenaccording to single DAB rating when
same power and sameinput/output voltage are used. From Table. I, we can clearly seethe advantages of different
topologies in switch rating selection.For example, the current rating for primary-side switches andvoltage rating
for the secondary-side switches are reduced to1/n p.u. (as shaded rows) when n modules are connected
Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System
www.iosrjournals.org 14 | Page
underIPOS structure.This modular design approach is followed in realizing thepower converter structure in the
proposed CESS system.
III. Proposed Power Converter Structure
The ultracapacitorneeds to supply or absorb high current for a shortduration of time. Considering these
requirements, the modularpower converter structure adopted for interfacing battery andultracapacitor to the dc
bus is shown in Fig. 5. The added advantageof such modular structure is that if n parallel DABbranches are
used, then by applying the interleaving scheme,the input-current and output-voltage ripple frequency can be
increasedby a factor of n and ripple magnitude can be reducedto less than 1/n compared to single DAB. At this
point, it is importantto explore the reconfigurability of the proposed modularpower converter structure of Fig. 5.
If the energy density of theCESS needs to be increased, then we can add parallel branchesto the battery
side, as shown in Fig. 5. High energy density maybe required, if the microgrid is powered from only renewable
sources. Similarway, more ultracapacitor branches can be addedto increase the power density of CESS. High
power density maybe required for CESS used in traction application, where highburst of power is supplied or
absorbed during acceleration orbraking, respectively. Moreover, the power converter structurecan be easily
reconfigured to achieve different dc-link voltagelevels, as shown in Fig. 6
Fig. 5. Topology of the proposed interleaved DAB-based CESS.
Fig. 6.Reconfiguration of the power converter structure to satisfy differentdc-link voltage requirements.
IV. Proposed Control Strategy Of Dabs For Energymanagement Of The Cess System
The control scheme for energy management of this CESS systemis shown in Fig. 7. The symbols used
to represent differentvariables are defined in the Appendix. DAB converter is selected as abasic cell in our
application. The power transfer is achievedby phase shifting the voltage across the primary and secondarysides
of the high-frequency transformer. The detailed operatingprinciples of DAB is explained in . Every DAB has
acurrent-control loop associated with it. The output of the currentcontroller generates the phase-shift
information between the inputand output bridges of the DAB module. The task of theenergy management block
of CESS is to generate appropriatecurrent reference for each DAB module. Forthe analysis, the direction of
current flowing out of battery andultracapacitor is taken as positive, as shown in Fig. 5.
Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System
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Fig. 7. Control block diagram for the IPOS interleaved DAB converter.
Fig. 8.Energy management strategy for case I.
V. Output Simulation Result
Simulation result of Based On Fuzzy Logic Controller Effective Energy Management In Composite
Energy Storage System Involving Battery And Ultracapacitor In Microgrid Applications
Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System
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Using Fuzzy Logic Controller at Subsystem
A. Case I: Dynamic Allocation of Power Demand to Batteriesand Ultracapacitor
One objective of the energy management system is to allocatesteady power demand to the batteries and
transient powerdemand to the ultracapacitor. We can think of a specific exampleof a dc grid, where PV
generator and load are connectedalong with the CESS system. The block diagram of the overallcontrol scheme
is shown in Fig. 7, and the current referencegeneration strategy for this specific case is shown in Fig. 8.The total
current demand from the CESS system is calculateddepending on the difference between energy source power
andload power. Here, the current demand can be positive or negativedepending on the difference. Then, this
current reference ispassed through a low-pass filter (LPF) to get the low-frequencycomponent of the current
demand. This low-frequency componentI∗ l is used to generate the total current reference for thebattery
interfacing power converters. As there are n parallelDAB branches, the current reference for each branch would
beI∗ l /n . In this case, it is assumed that, all the batteries are at thesame state of charge (SOC). For controlling
the DABs interfacingthe ultracapacitor, a cascaded control scheme using innercurrent-control loop and outer
voltage-control loop is realized.The high-frequency component of the current demand from theCESS system is
added as feedforward term at the output ofthe voltage controllers. The value of this feedforward term foreach
DAB branch is equivalent to I∗ h/n . To verify this controlstrategy, simulation is carried out in SIMPLORER
software.
Fig. 9. Dynamic response for a step change in current demand from the CESS system (Case I).
Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System
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Fig. 9.1. Output simulation result of Case I: Dynamic Allocation of Power Demand to Batteries
andUltracapacitor
Four parallel branches are considered. Each branch is rated for1.2 kW. In order to justify the scheme in
a practical scenario, upto 20% variation in leakage inductance and output capacitanceare considered. Fig. 9
shows the dynamic response of the dc-linkvoltage and the average converter input currents for step variation
in current demand from the CESS system. In practice, asudden variation in current demand can occur for
switching ONor switching OFF some particular load or for sudden change insolar insolation because of passing
clouds. At t = 40 ms, thereis a step increase in the load current. It is evident from Fig. 9 thatultracapacitor-
interfacing converter currents Iiiin(1f−4f ) compensatesfor the sudden current dynamics, and the battery currents
iIin(1f−4f ) slowly increases to cater to the steady load demand.The time constant of the LPF shown in Fig. 8 is
kept as only50 ms to show the operating principle. In practice, this cutofffrequency has to be set depending on
the relative capacity ofthe battery and ultracapacitor. Similar response can be seen fora step decrease in load
current at t = 120 ms.
B. Case II: Energy Management of the Batteries
In an ideal case, all the batteries can source or sink same current.But in practice, different batteries will
be in different statesof charge and their equalization is required. In the example ofthe earlier section, the current
reference for all the batteries areset equal as I∗ l /n . However, the energy management scheme can actually
allocate different current references for differentbatteries depending on their states of charge. Fig. 10(a)
showsthat if same current is drawn from all the four batteries withonly one of them having higher SOC, then
batteries with lowerSOC can go into deep discharge. Hence, if we put a deep dischargelimit, then the energy
stored in the battery with higherSOC cannot be fully utilized. In fact, this result also indirectlyexplains that, if
many batteries are connected in series to forma high-voltage dc-link, then volumetric efficiency of the battery
bank will be decided by the battery with lowest SOC, resultingin reduced energy density. However, if current
drawn from individualbatteries is proportional to their individual SOCs, thenall the batteries will hit the deep
discharge limit together andtheir energy can be fully utilized as shown in Fig. 10(b). In thiscase, the battery with
higher SOC supplies more current till allthe batteries reach same SOC. The authors in [19] and [20] ex-
Fig. 10. SOC of all the batteries (a) with equal discharge current and (b) with their discharge current
proportional to their SOCs.
Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System
www.iosrjournals.org 18 | Page
Fig. 11. Dynamic response of converter currents when one battery currentreference is made zero (Case
II).
Fig. 11.. Output simulation result of Dynamic response of converter currents when one battery current
reference is made zero (Case II).
plained the needs for SOC control and propose control methodsfor SOC balancing of the battery units.
emphasizedon power sharing among different batteries dependingon their charge level and to achieve this, droop
coefficient isadjusted to be inversely proportional to their charge level. One extreme case can be a situation
when one of the battery currenthas to be made zero to disconnect it for replacement. Fig. 11shows the
simulation results corresponding to this dynamics.The current reference to the DAB connected to the battery
tobe replaced is slowly made zero starting at t = 20 ms.The reductionof this battery power is compensated by
other batteriesby increasing their current references. The voltage controllers
adjust the current references of the DABs connected to the ultracapacitorto regulate Vo(1−4) at the reference
value. Fig. 11shows the dynamic response of the average converter input currentsfor letting one battery current
iIin1f to become zero. Theaverage currents iIin(2f−4f ) of converters connected to other batteriesslowly increase
to compensate. Because of this change inbattery currents, the input current iIIin1f of DABII1 increases and
input currents iIIin(2f−4f ) of DABII2−4 decrease to regulate the dcbus.
C. Case III: State of Charge Control of Ultracapacitor
The ultracapacitor SOC control is also an important requirementof the energy management scheme.
The ultracapacitorSOC can be easily estimated from its terminal voltage. Theenergy management scheme has to
maintain the ultracapacitorSOC within a band. If the ultracapacitor voltage falls below thelower band, then the
energy management scheme generates appropriatecurrent references for the battery and ultracapacitor.
Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System
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Fig. 12.Ultracapacitor charging scheme (Case III).
Fig. 12.Output simulation result of Ultracapacitor charging scheme (Case III).
Fig. 13. Block diagram of the experimental setup.
The simulation results showing ultracapacitor charging processis presented in Fig. 12. For charging the
ultracapacitor, a negativecurrent reference is added to the controllers of the DABsinterfacing it to the dc bus.
Hence, the ultracapacitor currentbecomes negative, as shown in Fig. 12. To compensate for thisoutflow of
current from the dc bus, a positive current referenceis added to the controllers of the DABs interfacing the
batteriesto the dc bus. The resulting increase in magnitude of averagebattery currents iIin(1f−4f ) is shown in
Fig. 12. Once the ultracapacitorgets charged, i.e., the ultracapacitor voltage VUCreaches the upper band, this
added offset current is removed.Fig. 12 shows that there is no disturbance in the dc-bus voltageVdcthroughout
this process.
Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System
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VI. CONCLUSION
ThisCESS interfaces battery as a high energy density storage, andultracapacitor as a high power density
storage to the dc bus.The dc–dc converter structure is formed using DAB moduleswhose terminals are
connected in series or parallel dependingon feasibility. The proposed modular dc–dc converter topologyalong
with its energy management scheme can flexibly share the power between different batteries and ultracapacitor.
Thescheme is validated based on fuzzy logic controller simulation in thispaper.
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Fuzzy Logic Based Controller Effective Energy Management OfComposite Energy Storage System Involving Battery AndUltracapacitor inMicrogrid

  • 1. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 6, Issue 4 (Jul. - Aug. 2013), PP 11-20 www.iosrjournals.org www.iosrjournals.org 11 | Page Fuzzy Logic Based Controller Effective Energy Management OfComposite Energy Storage System Involving Battery AndUltracapacitor inMicrogrid Md.Asif1 , T.Thirumalkumar2 , D.Shobha Rani3 , B.Ramu4 , P.Harika5 1, 2, 3, 4, 5 (EEE, Vardhaman College of Engineering (Autonomous), JNTU, Hyderabad, India) Abstract: In present world usage of fossil fuels are increasing, in order to decreasethem the alternate option isRenewable-energy-basedmicrogrids, they are a better wayof utilizing renewable power and reduce the usage of fossil fuels.Usage of energy storage becomesmandatory when such microgridsare used to supply quality power to the loads. Microgrids have twomodes of operation, namely, grid-connected and islanding modes.During islanding mode, the main responsibility of the storage isto perform energy balance. During grid- connected mode, the goalis to prevent transmission of the renewable source intermittency and load fluctuations to the grid. Energy storage of a single typecannot perform all these jobs efficiently in a renewable poweredmicrogrid. The alternating nature of renewable energy sourceslike photovoltaic (PV) demands usage of storage with high energydensity. At the same time, quick fluctuation of load demandsstorage with high power density. This paper shows a compositeenergy storage system (CESS) that contains both high energy densitystorage battery and high power density storage ultracapacitorto meet the aforesaid requirements. By using DAB powerconverter configuration and the energy management scheme canactively distribute the power demand among the different energystorages.Using fuzzy logic controller Keywords: Bidirectional converter, energy management,energy storage, interleaved modulation, modular design andmicro grid. I. Introduction Due to the intermittent nature of renewable energy sourcesand the incessant variations of the load, storage (e.g.,battery, ultracapacitor, flywheel etc.) is usually needed in a renewablepowered microgrid. The renewable output power profileand the load profile are two important factors in deciding thecapacity and type of the energy storage components. The variationin output power from a utility-scale PV system is presented.In fig [1], Fig. 1. Typical 24-h (a) PV output power and (b) residential load profile From the fig 1 we can observe that variations in the pv output power profile comparing to residential load profile ,inorder to compensate the pv output power with residential load profile we requireComposite energy storage system (CESS) which includes battery and ultracapacitor , If we use only ultracapacitor, then it has tobe oversized for storing large amount of energy to take care ofthe intermittency of the renewable sources and loads.Hence, use of a Composite energy storage system (CESS)encompassing both high power density and high energy densitystorage units is practically necessary. Now, the selection ofthe type of storage is also crucial. For energy storage in the highpower range for standard power systems, the most suitable oneswould be pumped hydro storage, compressed air storage, etc.
  • 2. Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System www.iosrjournals.org 12 | Page Fig. 2.Ragone chart showing the power density and energy density of different Storages. Fig. 3. Block diagram showing CESS interface with the dc grid. However, for microgrids, where power levels are in the rangeof a few megawatts, battery, ultracapacitor, and flywheel arethe more suitable options. Battery and ultracapacitor are consideredas high energy density storage and high power densitystorage, respectively, and their combination is a very promisingoption to realize the CESS system. Fig 3 shown thatultracapacitor–battery hybrid energy storage performs better Than battery-alone energy storage for a stand-alone PV system.. fig 4 shown that battery–ultracapacitor hybrid storagehas the virtues of both high energy density and high power Density, and also, such system increases battery life. .fig 5 analytically proved that battery– ultracapacitor hybridachieves power and life extension of battery. This paper alsoexploits the potential of battery and ultracapacitor as a CESS,as shown in Fig. 3.Bidirectional dc–dc converters are required to interface thebattery banks and the ultracapacitor to the dc link for controllingthe power flow. The basic requirement from the dc–dcconverter is that the user should be able to dynamically allocate the load current demand between the battery and the ultracapacitor.Different power converter structures are proposed in theliterature for interfacing battery and ultracapacitor to the dc link.Fig 6 proposed that an ultracapacitor with aboost chopper can be connected to the terminals of the battery,and battery current can be indirectly controlled by controllingthe ultracapacitor current. fig 7 proposed a technique,where ultracapacitor is connected to the battery with reducedpower device rating. The salient features of the proposed CESSsystem are: 1) dynamic allocation of steady power demands andtransient power demands to the batteries and ultracapacitor, respectively; 2) flexible distribution of power flowamong differentbatteries without disturbing the normal operation and online battery Fig. 4.Few possible configurations of module-based converter.
  • 3. Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System www.iosrjournals.org 13 | Page (a) IPOP. (b) IPOS. (c) ISOS. (d) Modified version of IPOP. (e) Modified version of IPOS.replacement; (3) ultracapacitor charging–discharging withoutdisturbing the normal operation; and (4) flexibility to upgradethe power rating or energy rating of the CESS systemindependently. Incorporation of these features has been possiblebecause of the proposed unique modular power converterstructure. II. Usage of Dab Converters As mentioned earlier, module-based design is the best approachto satisfy all the requirements of energy storage andload. The configurations of module-based converter are shownin Fig. 4. Input parallel output parallel (IPOP) configuration, asshown in Fig. 4(a), shares the input and output current in modules.By controlling the input current in each of the converters,the power flowin each can be controlled .Fig. 4(d) is derivedfrom Fig. 4(a) to interface multiple sources. This is also a commontopology in connecting multiple sources [18]. Input paralleloutput series (IPOS) topology presented in Fig. 4(b) shares thecurrent in the parallel side, while achieves high voltage in theseries side. Therefore, it is suitable for applications, where energystorage and load have large voltage difference. Fig. 4(e)is derived from Fig. 4(b) to interface multiple sources. Input Series output series (ISOS) configuration of Fig. 4(c) sharesvoltage both in input and output side. It is favorable for highinput and output voltage application. This connection is especiallyuseful when power increases to megawatt level, sincehigher voltage can help to reduce the magnitude of current toachieve lower loss .In all the aforementioned schemes,the basic power converter module used is the DAB. The module-based converter design approachesnot only can match the different source and load requirements,but also share the power in each module, and thus help to reducethe switch stress. Table. I lists the comparison of switchstress and transformer turns ratio in IPOP, IPOS, and ISOS TABLE I Comparison of Device Stress under Same Output Power With single DAB converter, respectively. Base values are chosenaccording to single DAB rating when same power and sameinput/output voltage are used. From Table. I, we can clearly seethe advantages of different topologies in switch rating selection.For example, the current rating for primary-side switches andvoltage rating for the secondary-side switches are reduced to1/n p.u. (as shaded rows) when n modules are connected
  • 4. Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System www.iosrjournals.org 14 | Page underIPOS structure.This modular design approach is followed in realizing thepower converter structure in the proposed CESS system. III. Proposed Power Converter Structure The ultracapacitorneeds to supply or absorb high current for a shortduration of time. Considering these requirements, the modularpower converter structure adopted for interfacing battery andultracapacitor to the dc bus is shown in Fig. 5. The added advantageof such modular structure is that if n parallel DABbranches are used, then by applying the interleaving scheme,the input-current and output-voltage ripple frequency can be increasedby a factor of n and ripple magnitude can be reducedto less than 1/n compared to single DAB. At this point, it is importantto explore the reconfigurability of the proposed modularpower converter structure of Fig. 5. If the energy density of theCESS needs to be increased, then we can add parallel branchesto the battery side, as shown in Fig. 5. High energy density maybe required, if the microgrid is powered from only renewable sources. Similarway, more ultracapacitor branches can be addedto increase the power density of CESS. High power density maybe required for CESS used in traction application, where highburst of power is supplied or absorbed during acceleration orbraking, respectively. Moreover, the power converter structurecan be easily reconfigured to achieve different dc-link voltagelevels, as shown in Fig. 6 Fig. 5. Topology of the proposed interleaved DAB-based CESS. Fig. 6.Reconfiguration of the power converter structure to satisfy differentdc-link voltage requirements. IV. Proposed Control Strategy Of Dabs For Energymanagement Of The Cess System The control scheme for energy management of this CESS systemis shown in Fig. 7. The symbols used to represent differentvariables are defined in the Appendix. DAB converter is selected as abasic cell in our application. The power transfer is achievedby phase shifting the voltage across the primary and secondarysides of the high-frequency transformer. The detailed operatingprinciples of DAB is explained in . Every DAB has acurrent-control loop associated with it. The output of the currentcontroller generates the phase-shift information between the inputand output bridges of the DAB module. The task of theenergy management block of CESS is to generate appropriatecurrent reference for each DAB module. Forthe analysis, the direction of current flowing out of battery andultracapacitor is taken as positive, as shown in Fig. 5.
  • 5. Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System www.iosrjournals.org 15 | Page Fig. 7. Control block diagram for the IPOS interleaved DAB converter. Fig. 8.Energy management strategy for case I. V. Output Simulation Result Simulation result of Based On Fuzzy Logic Controller Effective Energy Management In Composite Energy Storage System Involving Battery And Ultracapacitor In Microgrid Applications
  • 6. Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System www.iosrjournals.org 16 | Page Using Fuzzy Logic Controller at Subsystem A. Case I: Dynamic Allocation of Power Demand to Batteriesand Ultracapacitor One objective of the energy management system is to allocatesteady power demand to the batteries and transient powerdemand to the ultracapacitor. We can think of a specific exampleof a dc grid, where PV generator and load are connectedalong with the CESS system. The block diagram of the overallcontrol scheme is shown in Fig. 7, and the current referencegeneration strategy for this specific case is shown in Fig. 8.The total current demand from the CESS system is calculateddepending on the difference between energy source power andload power. Here, the current demand can be positive or negativedepending on the difference. Then, this current reference ispassed through a low-pass filter (LPF) to get the low-frequencycomponent of the current demand. This low-frequency componentI∗ l is used to generate the total current reference for thebattery interfacing power converters. As there are n parallelDAB branches, the current reference for each branch would beI∗ l /n . In this case, it is assumed that, all the batteries are at thesame state of charge (SOC). For controlling the DABs interfacingthe ultracapacitor, a cascaded control scheme using innercurrent-control loop and outer voltage-control loop is realized.The high-frequency component of the current demand from theCESS system is added as feedforward term at the output ofthe voltage controllers. The value of this feedforward term foreach DAB branch is equivalent to I∗ h/n . To verify this controlstrategy, simulation is carried out in SIMPLORER software. Fig. 9. Dynamic response for a step change in current demand from the CESS system (Case I).
  • 7. Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System www.iosrjournals.org 17 | Page Fig. 9.1. Output simulation result of Case I: Dynamic Allocation of Power Demand to Batteries andUltracapacitor Four parallel branches are considered. Each branch is rated for1.2 kW. In order to justify the scheme in a practical scenario, upto 20% variation in leakage inductance and output capacitanceare considered. Fig. 9 shows the dynamic response of the dc-linkvoltage and the average converter input currents for step variation in current demand from the CESS system. In practice, asudden variation in current demand can occur for switching ONor switching OFF some particular load or for sudden change insolar insolation because of passing clouds. At t = 40 ms, thereis a step increase in the load current. It is evident from Fig. 9 thatultracapacitor- interfacing converter currents Iiiin(1f−4f ) compensatesfor the sudden current dynamics, and the battery currents iIin(1f−4f ) slowly increases to cater to the steady load demand.The time constant of the LPF shown in Fig. 8 is kept as only50 ms to show the operating principle. In practice, this cutofffrequency has to be set depending on the relative capacity ofthe battery and ultracapacitor. Similar response can be seen fora step decrease in load current at t = 120 ms. B. Case II: Energy Management of the Batteries In an ideal case, all the batteries can source or sink same current.But in practice, different batteries will be in different statesof charge and their equalization is required. In the example ofthe earlier section, the current reference for all the batteries areset equal as I∗ l /n . However, the energy management scheme can actually allocate different current references for differentbatteries depending on their states of charge. Fig. 10(a) showsthat if same current is drawn from all the four batteries withonly one of them having higher SOC, then batteries with lowerSOC can go into deep discharge. Hence, if we put a deep dischargelimit, then the energy stored in the battery with higherSOC cannot be fully utilized. In fact, this result also indirectlyexplains that, if many batteries are connected in series to forma high-voltage dc-link, then volumetric efficiency of the battery bank will be decided by the battery with lowest SOC, resultingin reduced energy density. However, if current drawn from individualbatteries is proportional to their individual SOCs, thenall the batteries will hit the deep discharge limit together andtheir energy can be fully utilized as shown in Fig. 10(b). In thiscase, the battery with higher SOC supplies more current till allthe batteries reach same SOC. The authors in [19] and [20] ex- Fig. 10. SOC of all the batteries (a) with equal discharge current and (b) with their discharge current proportional to their SOCs.
  • 8. Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System www.iosrjournals.org 18 | Page Fig. 11. Dynamic response of converter currents when one battery currentreference is made zero (Case II). Fig. 11.. Output simulation result of Dynamic response of converter currents when one battery current reference is made zero (Case II). plained the needs for SOC control and propose control methodsfor SOC balancing of the battery units. emphasizedon power sharing among different batteries dependingon their charge level and to achieve this, droop coefficient isadjusted to be inversely proportional to their charge level. One extreme case can be a situation when one of the battery currenthas to be made zero to disconnect it for replacement. Fig. 11shows the simulation results corresponding to this dynamics.The current reference to the DAB connected to the battery tobe replaced is slowly made zero starting at t = 20 ms.The reductionof this battery power is compensated by other batteriesby increasing their current references. The voltage controllers adjust the current references of the DABs connected to the ultracapacitorto regulate Vo(1−4) at the reference value. Fig. 11shows the dynamic response of the average converter input currentsfor letting one battery current iIin1f to become zero. Theaverage currents iIin(2f−4f ) of converters connected to other batteriesslowly increase to compensate. Because of this change inbattery currents, the input current iIIin1f of DABII1 increases and input currents iIIin(2f−4f ) of DABII2−4 decrease to regulate the dcbus. C. Case III: State of Charge Control of Ultracapacitor The ultracapacitor SOC control is also an important requirementof the energy management scheme. The ultracapacitorSOC can be easily estimated from its terminal voltage. Theenergy management scheme has to maintain the ultracapacitorSOC within a band. If the ultracapacitor voltage falls below thelower band, then the energy management scheme generates appropriatecurrent references for the battery and ultracapacitor.
  • 9. Fuzzy Logic Based Controller Effective Energy Management Of Composite Energy Storage System www.iosrjournals.org 19 | Page Fig. 12.Ultracapacitor charging scheme (Case III). Fig. 12.Output simulation result of Ultracapacitor charging scheme (Case III). Fig. 13. Block diagram of the experimental setup. The simulation results showing ultracapacitor charging processis presented in Fig. 12. For charging the ultracapacitor, a negativecurrent reference is added to the controllers of the DABsinterfacing it to the dc bus. Hence, the ultracapacitor currentbecomes negative, as shown in Fig. 12. To compensate for thisoutflow of current from the dc bus, a positive current referenceis added to the controllers of the DABs interfacing the batteriesto the dc bus. The resulting increase in magnitude of averagebattery currents iIin(1f−4f ) is shown in Fig. 12. Once the ultracapacitorgets charged, i.e., the ultracapacitor voltage VUCreaches the upper band, this added offset current is removed.Fig. 12 shows that there is no disturbance in the dc-bus voltageVdcthroughout this process.
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