![References
• Chetan Singh Solanki, “Renewable Energy Technologies”, ISBN: 978-81-203-3434-2 , PHI Learning Pvt. Ltd., Mar 9, 2008
• M M Rahman & M A Uddin, “Solar beam radiation estimate’s correlation for Bangladesh”, Indian Journal of Radio & Space
Physics, Vol. 28, December 1999, pp. 277-285
• Anik Deb, Dr. M.A Matin Bhuiyan & Arefin Nasir, “Prospects of Solar Energy in Bangladesh”, (IOSR-JEEE) e-ISSN: 2278-1676
Volume 4, Issue 5 (Jan. - Feb. 2013), PP 46-57
• Rifat Abdullah &Mahzuba Islam,”Prospects of Wind Energy in the Coastal Region of Bangladesh”,International Journal of
Engineering Research & Technology (IJERT),Vol. 2 Issue 11, November – 2013, ISSN: 2278-0181.
• R. D. Prasad,”A Case Study for Energy Output using a Single Wind Turbine and a Hybrid System for Vadravadra Site in Fiji
Islands”, The Online Journal on Power and Energy Engineering (OJPEE), Vol. (1) – No. (1).
• Md Mosleh Uddin &Md Sadman Sakib Mojumder,” Biogas Production from Municipal Waste: Prospect in Bangladesh”, Cyber
Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Renewable and Sustainable
Energy (JRSE), October Edition, 2011.
• Nusrat Jahan Imu & Dido Mann Samuel,” BIOGAS PRODUCTION POTENTIAL FROM MUNICIPALORGANICWASTES IN
DHAKA CITY, BANGLADESH”, IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 |
pISSN: 2321-7308
• [53] Lingxi Mi, “Analysis on Energy Balance for a Smart Grid in Stadshavens Area, Rotterdam,” M. sc. thesis, Delft
University of Technology, Delft, Netherlands, Jan. 2012.
• [52] Aunanna Rashid, Nabil Hasan, Khandaker Tanvir Parvez, Shamsul Arefin Siddique, “STUDY AND ANALYSIS OF A
SMALL SCALE MICRO-GRID USING RENEWABLE ENERGY RESOURCES”](https://image.slidesharecdn.com/final-presentation-group-55-160815182755/85/Optimization-of-Distributed-Energy-Resources-to-Balance-Power-Supply-and-Demand-in-a-Smart-Grid-26-320.jpg)
Optimization of Distributed Energy Resources to Balance Power Supply and Demand in a Smart Grid
- 1. Group 55 Group Members: Fuad, M.A.Raqib 11-19651-3 Ahmed,Tashrik 11-19648-3 Ali, Md. Rashed 11-19631-3 Al-Imran, Shah Md. 11-19511-3 Thesis Supervisor: Md. Nasimul Islam Maruf Final Defense on Analysis on Power Supply-Demand Balance for a Smart Grid to Optimize Distributed Energy Resources
- 2. Thesis Goal Objectives: • Balancing the power supply and demand for a smart community • Making the system more reliable during the peak hour for the consumer • Integration of Renewable Energy Sources(RES) based plants in a system • Improvement of the overall system efficiency • Analyzing the load demand
- 3. Accomplishment • Energy production from RES (Solar, Wind, Biomass) • Matching the power supply and demand • Residual energy calculation • Implementation of smart meter using MATLAB Graphical using interface(GUI)
- 4. Expected impact of our work • It enables the operator and the consumer to solve complex power system problems through energy balance and quick demand response • Dependency on traditional fossil fuel is minimized • The final model is a sustainable system • The consumer can utilize the residual energy so that the efficiency of the system is increased
- 6. Model Block diagram of the proposed smart grid system
- 7. Equations Solar Power, Psolar=(Area per-sq-ft×watts per sq-ft) Efficiency, ɳsolar= JmVm Wind Power, Pwind= 𝟏 𝟐 ρAV3 Cp Capacity factor, CF= 𝒂𝒗𝒆𝒓𝒂𝒈𝒆 𝒐𝒖𝒕𝒑𝒖𝒕 𝒑𝒆𝒂𝒌 𝒐𝒖𝒕𝒑𝒖𝒕 Efficiency, ɳwind= 𝒑𝒓𝒐𝒅𝒖𝒄𝒆𝒅 𝒑𝒐𝒘𝒆𝒓 𝒌𝒊𝒏𝒆𝒕𝒊𝒄 𝒆𝒏𝒆𝒓𝒈𝒚 Biomass power, Pbiomass=NCV×W×(1/860) Efficiency, ɳbiomass= 𝒑𝒓𝒐𝒅𝒖𝒄𝒆𝒅 𝒑𝒐𝒘𝒆𝒓,𝑷 𝒊𝒏𝒑𝒖𝒕 𝒇𝒖𝒆𝒍,𝑸𝒕𝒐𝒕𝒂𝒍 Total generation= Psolar+Pwind+Pbiomass Jm= maximum current density Vm= maximum bias voltage ρ = air density (kg/𝒎 𝟑 ) A= swept area (𝒎 𝟐 ) V= wind speed (m/s) Cp= co-efficience of performance NCV= net calorific value (Kcal/kg) W= total waste quantity (kg)
- 9. Simulation Results Fig 1: Load profile for the smart grid Fig 2: Monthly average electric production Fixed load such as light, fan, tv, fridge, laptop, clothes iron, blender and water pump Total annual average load is 892 kwh/d Load at peak hour is 185 KW Daily peak load with respect to monthly average electric production.
- 10. Simulated result of solar Fig 5: global solar horizontal radiation Fig 6: PV output The average global solar horizontal radiation is 4.66 kwh/𝑚2 /d The average clearness index is 0.504 Total rated capacity is 40 kW Mean output is 6.8 kw and 162 kwh/d Capacity factor=16.9% Total production is 59,172 kwh/yr.
- 11. Simulated result of wind Fig 7: Monthly wind data Fig 8: Wind output Average wind speed is 6.74 m/s Hub height is 50 m Total rated capacity is 400 KW Mean output is 79 KW Capacity factor=19.7% Total production yields 690,829 kWh/yr.
- 12. Simulated result of biomass Fig 9: Monthly biomass resource data Fig 10: Biomass output The annual average waste (municipal waste, garbage waste etc.) is 4 tones/day Carbon content= 5% Gasification ratio=0.7 Lower heating value(LHV) of biogas = 5.5 MJ/kg Mean electrical efficiency is 1.9% Capacity factor=8.61% Total production=30,160 kwh/yr.
- 13. Energy Storage: Figure: Energy storage system topology Quantity Value Units Nominal capacity 2.16 kWh Usable nominal capacity 1.51 kWh Autonomy 0.0279 hr Lifetime throughput 1,075 kWh Battery wear cost 0.362 $/kWh Quantity Value String size 1 Strings in parallel 1 Batteries 1 Bus voltage (V) 6 Battery Calculation : Efficiency of each converter is 96% The overall efficiency of the conversion procedure approximately 75%
- 14. Overall calculation Production Kwh/yr. % PV array 59,172 6 Wind turbines 690,829 72 Biomass 30,160 3 Grid purchases 178,712 19 Total 958,873 100 Consumption Kwh/yr. % AC primary load 474,500 50 Grid sales 478,457 50 Total 952,957 100 The total energy production from the grid yields 958,873 kwh/yr. where the consumption yields 952,957 kwh/yr. Residual energy that can be stored from the smart grid system is 478,457 kwh/yr. Total system loss is 5,916 Kwh/yr. AC primary load Grid sales PV array Wind turbines Biomass Grid purchases
- 15. Cost Flow Analysis: Components Installation Cost $ Replacement Cost $ Operation & Management Cost $ Salvage Cost $ Total Cost $ PV 8,050 2,510 25,567 -1,407 34,720 Wind Turbines 44,700 18,652 127,834 -3,472 187,714 Generator 1 528 0 0 -120 408 Biomass 40 2 0 -1 41 Grid 0 0 -77,361 0 -77,361 Storage System 359 312 1,278 -42 1,908 Converter 150 63 1,278 -12 1,479 Total 53,827 21,538 78,596 -5,053 148,909
- 16. Net Present Cost by Cost Type:
- 17. Smart Meter • It enables Two way communication between meter and central system • The metering interface model is coded using MATLAB • RES generation, load consumption, residual energy calculation are done • A particular time can be given as a variable and it will show the output of the system
- 18. Smart Meter(Cont.) “sMeter_v2015a” Output Model for Smart Meter
- 19. “sMeter_v2015a” output for 10:00AM-05:00PM GUI result
- 20. “sMeter_v2015a” output for 12:00PM-12:00AM GUI result (Cont.)
- 21. “sMeter_v2015a” output for 24 hours GUI result (Cont.)
- 22. Advantages of the overall system • Supply and Demand Management • Peak Load Balancing • Consumer Online Controls • Consumer Control Consoles • Offsite Power Integration • Smart Grid City and Smart Networks
- 23. Drawbacks • Biggest concern: Privacy and Security • Some types of smart meter can be hacked • Hugely reliable in Battery or Storage System • Expensive in terms of installation • Not simply a single component • Various technology component
- 24. Possible Improvements • Smart Grid can be redesigned considering as a large scale area • Smart Meter can be more upgraded including new appliances • The user may analyze the load consumption from any place at any time by Developing Web Site • Using Others RES
- 25. Possible Improvements •Can be used as an alternative option for existing traditional power system • Possible increment of overall installs capacity • Additional use of hydro-micro hydro energy should be checked
- 26. References • Chetan Singh Solanki, “Renewable Energy Technologies”, ISBN: 978-81-203-3434-2 , PHI Learning Pvt. Ltd., Mar 9, 2008 • M M Rahman & M A Uddin, “Solar beam radiation estimate’s correlation for Bangladesh”, Indian Journal of Radio & Space Physics, Vol. 28, December 1999, pp. 277-285 • Anik Deb, Dr. M.A Matin Bhuiyan & Arefin Nasir, “Prospects of Solar Energy in Bangladesh”, (IOSR-JEEE) e-ISSN: 2278-1676 Volume 4, Issue 5 (Jan. - Feb. 2013), PP 46-57 • Rifat Abdullah &Mahzuba Islam,”Prospects of Wind Energy in the Coastal Region of Bangladesh”,International Journal of Engineering Research & Technology (IJERT),Vol. 2 Issue 11, November – 2013, ISSN: 2278-0181. • R. D. Prasad,”A Case Study for Energy Output using a Single Wind Turbine and a Hybrid System for Vadravadra Site in Fiji Islands”, The Online Journal on Power and Energy Engineering (OJPEE), Vol. (1) – No. (1). • Md Mosleh Uddin &Md Sadman Sakib Mojumder,” Biogas Production from Municipal Waste: Prospect in Bangladesh”, Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Renewable and Sustainable Energy (JRSE), October Edition, 2011. • Nusrat Jahan Imu & Dido Mann Samuel,” BIOGAS PRODUCTION POTENTIAL FROM MUNICIPALORGANICWASTES IN DHAKA CITY, BANGLADESH”, IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 • [53] Lingxi Mi, “Analysis on Energy Balance for a Smart Grid in Stadshavens Area, Rotterdam,” M. sc. thesis, Delft University of Technology, Delft, Netherlands, Jan. 2012. • [52] Aunanna Rashid, Nabil Hasan, Khandaker Tanvir Parvez, Shamsul Arefin Siddique, “STUDY AND ANALYSIS OF A SMALL SCALE MICRO-GRID USING RENEWABLE ENERGY RESOURCES”
- 27. Paper Submitted to conference
- 28. Thank You !
- 29. HTML based Website upcoming design