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RESEARCH REPORT 1 Development of Resilient Micro-grids in Trailers Hossam A.Gabbar, Onur Elma, Ahmed Abdelmaksoud, Yoka Cho Industrial Partner: MOBISMART Abstract: Canada and worldwide are moving towards deploying clean energy systems in urban, remote communities, and providing resilient energy systems for harsh environments and emergencies. The deployment of off-grid energy solutions is essential for a number of installations such as remote communities, mining, and emergencies. MOBISMART developed MOBISUN as an off-grid solution by integrating solar, wind, battery, and traditional generators to offer off-grid energy supply. The system can be expanded by integrating multiple units with efficient energy management to offer high performance charging/discharging capabilities using intelligent control with optimization algorithm. This technology has potential deployment in Canada and worldwide for remote communities, harsh and extreme environment, and number of applications to replace gas-based energy supply such as communications, railways, construction, pipeline, and mining installations. There are extended user requirements to integrate large number of battery systems in multiple MOBISUN units to increase the scale and enhance charging/discharging performance to meet target loads. The proposed research is led by Dr. Hossam Gaber at UOIT and have the main objective is to conduct research to enhance the design configuration and technology of energy storage systems, and integrate intelligent control and optimization algorithms to improve the performance of one unit and allow the integration of multiple MOBISUN units with increased profit and ROI. Multiple MOBISUN will offer larger capacity to meet target loads and enhanced performance. The modeling and simulation should be performed accurately, and integrated control system will be tested for different design configuration and operation scenarios, including different weather conditions and load profiles. Intelligent algorithms will be developed to optimize the overall performance in terms of lifecycle cost, performance, reliability, and safety in view of Key Performance Indicators-KPIs. The proposed control technique will be optimized based on dynamic load and mobility models, for the selected KPIs of multiple microgrids and storage systems and technologies. 1. Introduction and Objectives It is required to design intelligent control system with resilient features to integrate interconnected microgrids in multiple units of MOBISUN with enhanced charging/discharging functions based on number of energy storage technologies. Multiple MOBISUN will offer larger capacity to meet target loads and enhanced performance. The modeling and simulation should be performed accurately, and integrated control system will be tested for different design configuration and operation scenarios, including different weather conditions and load profiles. Intelligent algorithms will be developed to optimize the overall performance in terms of lifecycle cost, performance, reliability, and safety in view of Key Performance Indicators-KPIs. The proposed control technique will be optimized based on dynamic load and mobility models, for the selected KPIs of multiple microgrids and storage systems and technologies. Table 1 indicates the outlines for project task and each corresponding deliverables.

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Page 1: Development of Resilient Micro-grids in Trailerscontrol system will be tested for different design configuration and operation scenarios, including different weather conditions and

RESEARCH REPORT

1

Development of Resilient Micro-grids in Trailers

Hossam A.Gabbar, Onur Elma, Ahmed Abdelmaksoud, Yoka Cho

Industrial Partner: MOBISMART

Abstract:

Canada and worldwide are moving towards deploying clean energy systems in urban, remote

communities, and providing resilient energy systems for harsh environments and emergencies. The

deployment of off-grid energy solutions is essential for a number of installations such as remote

communities, mining, and emergencies. MOBISMART developed MOBISUN as an off-grid solution by

integrating solar, wind, battery, and traditional generators to offer off-grid energy supply. The system can

be expanded by integrating multiple units with efficient energy management to offer high performance

charging/discharging capabilities using intelligent control with optimization algorithm. This technology has

potential deployment in Canada and worldwide for remote communities, harsh and extreme environment,

and number of applications to replace gas-based energy supply such as communications, railways,

construction, pipeline, and mining installations. There are extended user requirements to integrate large

number of battery systems in multiple MOBISUN units to increase the scale and enhance

charging/discharging performance to meet target loads. The proposed research is led by Dr. Hossam Gaber

at UOIT and have the main objective is to conduct research to enhance the design configuration and

technology of energy storage systems, and integrate intelligent control and optimization algorithms to

improve the performance of one unit and allow the integration of multiple MOBISUN units with increased

profit and ROI. Multiple MOBISUN will offer larger capacity to meet target loads and enhanced

performance. The modeling and simulation should be performed accurately, and integrated control system

will be tested for different design configuration and operation scenarios, including different weather

conditions and load profiles. Intelligent algorithms will be developed to optimize the overall performance

in terms of lifecycle cost, performance, reliability, and safety in view of Key Performance Indicators-KPIs.

The proposed control technique will be optimized based on dynamic load and mobility models, for the

selected KPIs of multiple microgrids and storage systems and technologies.

1. Introduction and Objectives It is required to design intelligent control system with resilient features to integrate interconnected

microgrids in multiple units of MOBISUN with enhanced charging/discharging functions based on number

of energy storage technologies. Multiple MOBISUN will offer larger capacity to meet target loads and

enhanced performance. The modeling and simulation should be performed accurately, and integrated

control system will be tested for different design configuration and operation scenarios, including different

weather conditions and load profiles. Intelligent algorithms will be developed to optimize the overall

performance in terms of lifecycle cost, performance, reliability, and safety in view of Key Performance

Indicators-KPIs. The proposed control technique will be optimized based on dynamic load and mobility

models, for the selected KPIs of multiple microgrids and storage systems and technologies. Table 1

indicates the outlines for project task and each corresponding deliverables.

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Table 1. Project Tasks and Deliverables

Task Subtask Status Deliverables

Functional

Modeling

“As-Is” show status

and details of the

current system

components

Completed Create a functional model of the

power side layer of the system

Illustrates transformation from input

to output.

To show status and details of the

current power system components

Functional

Modeling

“To-Be” show status

and details of the

proposed features and

components

Completed Added the functional modeling to be

process and devices

Explanations of to process

alternatives.

Thermal

Management

Modeling, Simulation

and design

Completed Thermal modeling of the Mobisun.

Simulation results and technology

options

Remote

control

Choose the best

option in the market

Suitable wireless

communication

Completed Analysis the wireless

communication technologies

Chosen the cellular communication

technology

Energy

Management

Analysis integrated

energy management

system

Completed Analyzed energy management with

battery management side

SBAE battery control and

monitoring system

Power system

Design and develop

solution for combine

inverter with solar

MPPT and power side

Completed Analysis the current technologies in

the Market

Chosen best options

Comparison options table done

Performance

Management

Performance of the

system

Searching standards

for testing and

certification progress

Completed Performance test checklist flow-

chart

Get the suitable standards

Testing criteria table

MOBISUN

Certification

Analysis and develop

certification plan to

test and evaluate

Completed Develop certification plan

Testing criteria table

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2. Functional Modeling The Mobisun system is analzed and the functional modeling of the system is devided 2 different sub-

models such as communication and power sides. These models are given in the following figures:

Fig. 1 MOBISUN power system functional modeling

This model shows the power flow from generation to load. There are three main power sources, one

backup source and the in the MOBISUN system which are PV panels, wind turbine, battery storage, and

diesel generator. The PV array has 8 PV modules, and the total power is 2.4 kW. The wind turbine has not

been mounted the MOBISUN trailer yet. But the new wind generator has 2 kW nominal power. Battery

storage has flexible capacity from 30 kWh to 90 kWh, and Diesel gensetis used for the backup source. The

power system functional modeling shows the power-flow in the MOBISUN system. In addition, power the

converting points and the AC and DC powers of the system are followed to understand of the power

conversions and the system losses.

In addition, this modeling is used to analysis of the internal energy consumption. Also, there are five

separate DC power suppliers, and their power limits are giving in the following Table 2.

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Table 2. DC power suppliers in the system

DC Power Suppliers Tag Function ID Power rate

24 VDC Power Supply 916 (drawing 918) 16 240W

12 VDC Power Supply for

Actuator Analog Signal

PS952 19 15 W

24 VDC Power Supply PWR910 25 1000 W

PLC Power Supply PWR943 21 30 W

12 VDC Power Supply PWR952 12 100W

The power system is connected with other subsystems with wired communication. All subsystems

should be connected the control unit which is Programmable Logic Controller (PLC). MOBISUN system

uses the Q03UDECPU series Mitsubishi PLC. The power system components such as an inverter, the

battery charger can connect to a control unit with COMBOX communication device. Functional modeling

of the power system has inputs and outputs to generate electricity and control of the power flow.

Fig. 2 MOBISUN communication system functional modeling

The communication system has some of the different protocols in the MOBISUN system. Especially

the critical communications use the wired communication protocols which are Xanbus, RS-232, Ethernet,

and CC-Link. Another communication protocol is used in the system which is one of the wireless

communication, 4G cellular. The Schneider devices use the Xanbus which is one of the special Modbus

protocols to design to use in Schneider products. Also, Ethernet and RS323 are the other most used

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protocols. The communication system is infrastructure for the control and monitoring. Also, the

communication system is the important part of IoT security.

For to be options; wired communication protocols can be changed depend on the updated current

devices. For example; if the power system devices will be changed, the communication system will change

also. For remote control current communication protocol is cellular 4G. For remote control communication,

there are two options which are LoRaWAN™ and low earth orbit (LEO) satellite communication system.

Lorawan, has up to 30 km wireless communication range. LEO will be active near future with using new

satellite communication network.

Inverter should have:

Bi-directional power flow which means DC to AC and AC to DC. This inverter should be suitable to

work with GenSet.

Inverter output should be 110 V AC and 220 V AC which is one phase and 2 phase output options.

Inverter DC voltage level should be 24/48 V which is same voltage level from battery output bus. I

suggest 48 V DC

If inverter has built-in solar charger (MPPT) it has suitable 2.5 kW input solar power (suitable current

and voltage combination) which is called hybrid inverter.

Inverter has communication output which should be RS485 or other suitable communication protocols

depend on the controller system.

Inverter should be suitable for charging current (preferred) battery technology

If there ıs a separate MPPT charger;

We do not prefer separate MPPT charger because communication difficulties. But depend on the

inverter companies and price advantage it should be separate.

If it is a separate unit, it is suitable for min. 2.5 kW power range (voltage and current combination)

Fig. 3 Proposed Mobisun Control System Schematic

Some of the inverter has dry contact to control Genset. Also some of inverter company like Victron has

communication box which has more inputs for temperature, wid speed, etc. If we will purchase this type of

inverter, our controller side should be solved or just very simple and integrate solution will be enough.

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3. Technology Options for System Requirements Smart Battery Energy Automation (SBEA) with technical building management functions will have an

impact on the energy performance of a building with the battery systems. That system will monitor, profile

and control of the applications to provide the information needed to make informed decisions based on

energy usage patterns. A novel complete building energy management system is linked to battery system

in each apartment in a building with resiliency algorithm, and to interface with the battery management.

This system is developed by UOIT research team.

This system is adapted to the MOBISUN trailer system to control and monitoring power side of the

system such as battery management, power flow, charging/discharging and load management.

4. Thermal Management This task aims to propose the best thermal management option for all weather condtions. This task progress

is given in Table 3.

Table 3. Thermal system progress

No. Requirements

Analysis and

calculation

Status Estimated

finish time

Comments

1. Heater size in winter

to maintain minimum

operation temperature

Done Current calculation is based on moderate wind speed.

So, the current heater does cover extreme strong wind.

And if the battery is changed the size of heater needs

to be revised.

2. Necessary heater size

for restart model

when the whole trailer

is down to -30/-40C

Done The current calculation is based on GEL and LiB

battery. If battery type is changed, it is necessary to

recalculate because of the different thermal

characteristics.

3. Heater type and

position in trailer

Done Generally, the heater will be setup close to battery, if

other components has wider working temperature than

battery. A separate temperature zone needs to be

designed for PLC.

4. Necessary ventilation

flow rate for whole

trailer in summer

model

Done

5. Necessary outlet area

at natural cooling

Done If no enhancement designed, the necessary outlet

opening area seems too large. So, enhancement of

natural convection is necessary.

6. Confirmation of

Venturi effect for

enhancement of

natural ventilation via

simulation

Done

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Fig. 4 Section view of trailer

Fig. 5 temperature distribution of batteries

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Fig. 6 Presure distribution of venturi

5. Remote Control The system remote control needs communication and software structure. These system is used to

communicate between control unit and end-user. The system can be used for data storage, remote

maintenance, etc. The remote control user interface should include not only the monitoring but also the

controlling of some devices. There is an example user interface is given Figure 3.1.

Fig. 7. Example of Mobisun user interface

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The remote control system is designed depend on control units and communication system details. Thus,

in this stage there were given some of the options and discussed with Mobismart.

6. Energy Management The system energy management and power flow control is analyzed. The system generation part is PV

panels is modeled in the Matlab/Simulink. Also the other source is battery storage is modelled and another

generation unit is gen-set is modelled. The system components modeling is constituted depend on flowing

details of the mathematical equations:

6.1 Simulation Models

Fig. 8. The system simulation model

The system simulation need the weather data which are solar radiation and the ambient temperature. In this

simulation, one week weather data is used which are given in Figure 9

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Fig. 9. Sample of weather data for one week b) Radiation c) Temperature

The system performance is analyzed with different load types. So the simulation analysis is divided

different case studies.

6.2 Case Study: Simulation with residential load The system is analyzed for sizing which is important to balance source and loads and to manage the energy

flow of the system. The sizing analysis affects the duration of the energy flow to the loads. Also, minimum

state of charge level of the battery should be limited and generally it has not be under 30%.

6.3 Case Study: Simulation with commercial load (telecommunication

tower) The same size Mobisun hybrid power system is analyzed with commercial load.

0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000

b)

0

200

400

600

800

1000

Rad

iati

on (

watt

/m2)

0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000c)

Time [minute intervals]

5

10

15

20

Tem

per

ature

(0C

)

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7. Power System The Mobisun power system includes PV panels, battery storage, backup diesel gen-set and optional wind

turbine. The Mobısun has two main generation units which are PV panels and wind turbine The previous

Mobisun power system stracture is given Figure 10.

Fig. 10 The Mobisun previous power system structure

The wind turbine system has major technical problems. Thus, the power system is updated with out wind

turbine. The new power system structure is given in Figure 11

Fig. 11 To be Mobisun power system structure

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8. Achievement Summary

- Proposed and supported the new concept of mobile micro grids, which was not the base

at the beginning

- Investigated and discussed wind turbine issue and link to control system, which was not

clear and we were able to help you diagnose the problem and move to replacement and

alternative option

- Completed functional modeling for all power, control, information and communications,

with energy systems

- Proposed new schematic for the new design of MOBISUN

- Arranged to have testing of MOBISUN at ACE as part of our project budget from

NSERC fund we have 4 hours test booked for us, budget included

- Completing the new design of the new power system, it took sometime as the team

members were not familiar with your system and getting latest technologies from market,

and price limitations

- Analyzed communication options and including in the new design with inverters

- Designed SBEA to manage battery systems effectively with energy savings and remote

monitoring and control, completed and tested with batteries from eV Fern, and now

developing the user interface for monitoring

- Introduce new applications of MOBISUN with safety and security functions

- Working on the testing and certification criteria and standards, in progress to provide test

data

- Completed 1st stage thermal design and modeling, and now integrating the design and

controllers into your MOBISUN

- Introducing the concept of connected and autonomous vehicles to MOBISUN to be state

of the art system

- Introducing fast charging capabilities, V2V, with multiple MOBISUN units, to allow

MOBISUN to have better business model for profit and ROI for remote sites with

increase energy supply capabilities, this is linked to Mitacs

- Working on risk assessment and safety design on MOBISUN to meet new applications

and jobs/missions

- Started battery monitoring and planning with mission/job planning as part of MOBISUN

monitoring and management, with remote access

- WINA is offering free test and use of their battery systems in the new MOBISUN system

- CSA is willing to work on the certification of the new power system model

- We are studying possible integration of other energy technologies for better ROI and

longer range

- Investigating right resources, and helping in getting number of possible candidates

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9. References

[1] Hossam A. Gabbar, Razibul Islam, Manir U. Isham, Vatsal Trivedi, “Risk-based performance analysis

of microgrid topology with distributed energy generation” Electrical Power and Energy Systems , vol. 43,

pp. 1363–1375, 2012.

[2] Abdelazeem A. Abdelsalam, Hossam A. Gabbar, and Adel M. Sharaf, Performance Enhancement of

Hybrid AC/DC Microgrid based D-FACTS, International Journal of Electrical Power and Energy

Systems, Volume 63, December 2014, Pages 382-393

[3] D. Khani , A. Sadeghi Yazdankhah, Hossein Madadi Kojabadi, “Impacts of distributed generations on

power system transient and voltage stability,” Electrical Power and Energy Systems, Vol. 43, Issue 1, Dec

2012, pp. 488-500.

[4] X. Liu, P. Wang, P. C. Loh, “A Hybrid AC/DC Microgrid,” IPEC 2010 Conference Proceedings, pp.

746-751, Oct 2010.

[5] B. Kroposki, R. Lasseter, T. Ise, S. Morozumi, S. Papatlianassiou and N. Hatziargyriou, "Making

microgrids work," Power and Energy Magazine, IEEE , vol.6, no.3, pp.40,53, May-June 2008

[6] H. Gabbar and A. Abdelsalam, "High Performance AC/DC Microgrid in Grid-Connected and Islanded

Modes with SVC-Based Control," Energy Conversion and Management (Elsevier), In-Press

[7] K. Buayai, W. Ongsakul and N. Mithulananthan ,”Multi-objective micro-grid planning by NSGA-II in

primary distribution system” European Transactions On Electrical Power, Vol. 22, Issue 2, pp. 170–187,

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[8] M. Islam and H. Gabbar, “Study of small modular reactors in modern microgrids”, International

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[9] F. Katiraei, R. Iravani, N. Hatziargyriou and A. Dimeas, "Microgrids management," Power and Energy

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[13] B. Sungwoo and A. Kwasinski, "Dynamic Modeling and Operation Strategy for a Microgrid With

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